Intelligent Grid Interfaced Vehicle Eco-charging (iGIVE)
Lead Research Organisation:
Queen's University Belfast
Department Name: Sch of Electronics, Elec Eng & Comp Sci
Abstract
The UK government is determined to address the challenges of tackling climate change and maintaining energy security in a way that minimises costs and maximises benefits to the economy. Among all sources of CO2 emissions in the UK, the energy supply accounts for about 40%, followed by the transport for over 25%. To meet the target of cutting greenhouse gas emissions by 80% by 2050, large proportion of electricity generated from low carbon sources integrated with mass adoption of electric vehicles (EV) offer a great potential. Likewise, the Chinese 12th National Economic and Social Development Five-Year Plan has set the target of 3.5% reduction per unit of GDP in both energy use and carbon dioxide emissions, and identified new energy and clean energy vehicles among the seven priority industries in the next five years from 2012.
It is clear that both countries are fully committed to a planned 'decarbonisation' of their respective energy systems. However, both face the challenges of planning and building the suitable infrastructure, and of managing the resources to ensure future power systems operate more reliably, more flexibly, and more economically, by integrating and coordinating the actions of all actors. It has been widely recognized that electric vehicles could both benefit from and help to drive forward the development of smart grids where renewable resources are widely and substantially employed. However, a number of technical challenges are still open for further exploitation.
The proposed collaborative interdisciplinary research will investigate and develop an intelligent grid interfaced vehicle eco-charging (iGIVE) system for more reliable, more flexible and efficient, and more environmental friendly smart gird solutions for seamless integration of distributed low-carbon intermittent power generation and large number of EVs. To achieve this, a multilayer hierarchical power and information flow framework for monitoring and optimal control of the EV charging while minimising the volume of information passed to the utility control centers will be investigated first. Within this framework, a variable rate bi-directional high performance EV battery charging unit based on a patented technology will be developed, and battery management and optimal EV charging and discharging dispatching strategies will be investigated. Other issues associated to the charging stations, such as electromagnetic interference and harmonics generation and their impact on environment and electricity grid will also be studied. Finally, simulation platform will be built to investigate the interactions of EV-related different participants and their impact on the grid operations. A test bed to verify the design will be developed and a joint UK-China joint laboratory on smart grid and EV integration will be established, bringing together key academic and industry partners in smart grid and EV from UK and China.
Both system operators and EV industry in the UK, China and other parts of the world will benefit considerably from the development of intelligent EV eco-charging systems when a large number of EVs are adopted by the public and greater amounts of renewable power are utilized, as they provide an adaptive and intelligent framework and EV charging systems to economically, efficiently and environment-friendly accommodate charging requirements as well as providing ancillary service to the grid integrated with larger amounts of intermittent renewable energy sources and thereby enable the decarbonisation of the electricity supply industry and the transport sector.
It is clear that both countries are fully committed to a planned 'decarbonisation' of their respective energy systems. However, both face the challenges of planning and building the suitable infrastructure, and of managing the resources to ensure future power systems operate more reliably, more flexibly, and more economically, by integrating and coordinating the actions of all actors. It has been widely recognized that electric vehicles could both benefit from and help to drive forward the development of smart grids where renewable resources are widely and substantially employed. However, a number of technical challenges are still open for further exploitation.
The proposed collaborative interdisciplinary research will investigate and develop an intelligent grid interfaced vehicle eco-charging (iGIVE) system for more reliable, more flexible and efficient, and more environmental friendly smart gird solutions for seamless integration of distributed low-carbon intermittent power generation and large number of EVs. To achieve this, a multilayer hierarchical power and information flow framework for monitoring and optimal control of the EV charging while minimising the volume of information passed to the utility control centers will be investigated first. Within this framework, a variable rate bi-directional high performance EV battery charging unit based on a patented technology will be developed, and battery management and optimal EV charging and discharging dispatching strategies will be investigated. Other issues associated to the charging stations, such as electromagnetic interference and harmonics generation and their impact on environment and electricity grid will also be studied. Finally, simulation platform will be built to investigate the interactions of EV-related different participants and their impact on the grid operations. A test bed to verify the design will be developed and a joint UK-China joint laboratory on smart grid and EV integration will be established, bringing together key academic and industry partners in smart grid and EV from UK and China.
Both system operators and EV industry in the UK, China and other parts of the world will benefit considerably from the development of intelligent EV eco-charging systems when a large number of EVs are adopted by the public and greater amounts of renewable power are utilized, as they provide an adaptive and intelligent framework and EV charging systems to economically, efficiently and environment-friendly accommodate charging requirements as well as providing ancillary service to the grid integrated with larger amounts of intermittent renewable energy sources and thereby enable the decarbonisation of the electricity supply industry and the transport sector.
Planned Impact
Our vision is to advance the understanding and realization of the integration of electric vehicles with the grid and renewable energy sources through a novel fundamental and yet holistic approach involving new scientific, multi-disciplinary, international (UK-China and others) collaborations that will tackle technical, societal and economic challenges facing stakeholders in the EV, the smartgrid and renewable energy supply chains.The project programme will strengthen existing links between the research organisations between UK and China, and forge new links with key Chinese institutions and industry in the fields of EVs, utility and renewable energy. Thus, the programme's impacts will be both far-reaching and long-lasting, and will ultimately benefit everyone in the UK and China, and beyond.
U.K. and China's Companies
- Reduced costs, increased productivity through enhanced knowledge in charging equipment, smart eco-charging and dual-use of devices.
- Load management for reduction of peak demand
- Improved reliability and condition monitoring
- Enhanced grid stability
- Clearer pathways for implementing research outcomes
- Enhanced supply chain opportunities with China and others
- Increased competitiveness by moving up value chain
Users - Car, Commercial and Domestic
- Reduced electricity bills due to reduced peak power generation
- Reduced fuel bills by selling energy (e.g. from renewable) to grid via EVs
- Enhanced power balancing and security using EVs as storage
- Enhanced control of energy usage to match lifestyle (e.g. work shifts to get premium rates for EV charging/reverse-charging at work)
- Energy brokerage and trading using the Integrated EV-smart grid system as a Virtual Power Plant
Society
- Reduced greenhouse emissions and reduced impact on climate change
- Reduced power outages
- Sustainable energy usage
- Cleaner and quieter urban environment due to enhanced impact of electric vehicles
Governments/ Policy makers
- UK: Enhanced opportunity for meeting both EU/international (beyond Kyoto) and domestic targets (Climate Change Act 2008) for reducing
greenhouse gas emissions.
- China: Enhanced opportunity for meeting the 12th Five-year Plan on Greenhouse Emission Control
Academics
- New scientific breakthroughs and findings from the UK and China's academics in this collaboration
- Dissemination through journals and international conferences
- Greater supply of and more coordinated approach to training young researchers this will benefit industry and regulators
- UK to become major player in the field, potential for exporting outcomes
- Follow-on funding from external bodies (TSB, EPSRC, EU)
- Enhanced collaborative opportunities
- Better opportunities for technology transfer with industry.
U.K. and China's Companies
- Reduced costs, increased productivity through enhanced knowledge in charging equipment, smart eco-charging and dual-use of devices.
- Load management for reduction of peak demand
- Improved reliability and condition monitoring
- Enhanced grid stability
- Clearer pathways for implementing research outcomes
- Enhanced supply chain opportunities with China and others
- Increased competitiveness by moving up value chain
Users - Car, Commercial and Domestic
- Reduced electricity bills due to reduced peak power generation
- Reduced fuel bills by selling energy (e.g. from renewable) to grid via EVs
- Enhanced power balancing and security using EVs as storage
- Enhanced control of energy usage to match lifestyle (e.g. work shifts to get premium rates for EV charging/reverse-charging at work)
- Energy brokerage and trading using the Integrated EV-smart grid system as a Virtual Power Plant
Society
- Reduced greenhouse emissions and reduced impact on climate change
- Reduced power outages
- Sustainable energy usage
- Cleaner and quieter urban environment due to enhanced impact of electric vehicles
Governments/ Policy makers
- UK: Enhanced opportunity for meeting both EU/international (beyond Kyoto) and domestic targets (Climate Change Act 2008) for reducing
greenhouse gas emissions.
- China: Enhanced opportunity for meeting the 12th Five-year Plan on Greenhouse Emission Control
Academics
- New scientific breakthroughs and findings from the UK and China's academics in this collaboration
- Dissemination through journals and international conferences
- Greater supply of and more coordinated approach to training young researchers this will benefit industry and regulators
- UK to become major player in the field, potential for exporting outcomes
- Follow-on funding from external bodies (TSB, EPSRC, EU)
- Enhanced collaborative opportunities
- Better opportunities for technology transfer with industry.
Organisations
- Queen's University Belfast (Lead Research Organisation)
- Fraunhofer Society (Collaboration)
- Tongji University (Collaboration)
- Tianjin University (Collaboration)
- Dalian University of Technology (Collaboration)
- University of Warwick (Collaboration)
- Chongqing University (Collaboration)
- Cardiff University (Collaboration)
- Beijing Jiaotong University (Collaboration)
- Scottish Power Ltd (Collaboration)
- Beijing Institute of Technology (Collaboration)
- UNIVERSITY OF BIRMINGHAM (Collaboration)
- Northwestern Polytechnical University (Collaboration)
- Harbin Institute of Technology (Collaboration)
- UNIVERSITY OF LEEDS (Collaboration)
- UNIVERSITY OF LIVERPOOL (Collaboration)
- University College London (Collaboration)
- Wrights Group (Collaboration)
- UNIVERSITY OF NOTTINGHAM (Collaboration)
- South China University of Technology (Collaboration)
- Department of Transport (Collaboration)
- UNIVERSITY OF CAMBRIDGE (Collaboration)
- China Electric Power Research Institute (CEPRI) (Collaboration)
- Irwin's Bakery (Collaboration)
- City, University of London (Collaboration)
- Southeast University China (Collaboration)
- ScotRail Railways Limited (Collaboration)
- Ricardo UK Ltd (Collaboration)
- Proton (United Kingdom) (Project Partner)
- Höganäs (Sweden) (Project Partner)
- Electricity Supply Board (Ireland) (Project Partner)
- Northern Ireland Electricity Networks (Project Partner)
- Semikron (United Kingdom) (Project Partner)
- Scorpion Power System Ltd (Project Partner)
Publications
Al-Saadi M
(2016)
Impact of unit commitment on the optimal operation of hybrid microgrids
Alkhafaji M
(2016)
Integration of electric vehicles within microgrid
BAN M
(2015)
Procedural simulation method for aggregating charging load model of private electric vehicle cluster
in Journal of Modern Power Systems and Clean Energy
Cao J
(2020)
Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model
in IEEE Transactions on Smart Grid
Deng W
(2017)
Event-triggered H 8 position control of receiver coil for effective mobile wireless charging of electric vehicles
in Transactions of the Institute of Measurement and Control
Devlin J
(2017)
Gas generation and wind power: A review of unlikely allies in the United Kingdom and Ireland
in Renewable and Sustainable Energy Reviews
Devlin J
(2015)
What do high penetrations of wind power mean for gas generation?
Devlin J
(2016)
The importance of gas infrastructure in power systems with high wind power penetrations
in Applied Energy
Devlin J
(2017)
A multi vector energy analysis for interconnected power and gas systems
in Applied Energy
Devlin J
(2016)
System flexibility provision using short term grid scale storage
in IET Generation, Transmission & Distribution
Ding X
(2019)
An improved Thevenin model of lithium-ion battery with high accuracy for electric vehicles
in Applied Energy
Dong S
(2015)
Analysis of Critical Inductance and Capacitor Voltage Ripple for a Bidirectional <italic>Z</italic> -Source Inverter
in IEEE Transactions on Power Electronics
Du D
(2017)
A Novel Networked Online Recursive Identification Method for Multivariable Systems With Incomplete Measurement Information
in IEEE Transactions on Signal and Information Processing over Networks
Foley A
(2017)
A review of developments in technologies and research that have had a direct measurable impact on sustainability considering the Paris agreement on climate change
in Renewable and Sustainable Energy Reviews
FOLEY A
(2015)
Analysis of electric vehicle charging using the traditional generation expansion planning analysis tool WASP-IV
in Journal of Modern Power Systems and Clean Energy
Foley A
(2015)
A long-term analysis of pumped hydro storage to firm wind power
in Applied Energy
Foley A
(2017)
Renewable energy technology developments, trends and policy implications that can underpin the drive for global climate change
in Renewable and Sustainable Energy Reviews
Gan S
(2017)
Long-Term Ship Speed Prediction for Intelligent Traffic Signaling
in IEEE Transactions on Intelligent Transportation Systems
Guo Y
(2015)
A novel radial basis function neural network principal component analysis scheme for PMU-based wide-area power system monitoring
in Electric Power Systems Research
Guo Y
(2014)
Loss-of-Main Monitoring and Detection for Distributed Generations Using Dynamic Principal Component Analysis
in Journal of Power and Energy Engineering
Guo Y
(2015)
Synchrophasor-Based Islanding Detection for Distributed Generation Systems Using Systematic Principal Component Analysis Approaches
in IEEE Transactions on Power Delivery
Higgins P
(2014)
Impact of offshore wind power forecast error in a carbon constraint electricity market
in Energy
Higgins P
(2015)
The significance of interconnector counter-trading in a security constrained electricity market
in Energy Policy
J. Scullion
(2017)
A dynamic simulation of hybrid bus performance in urban environments
Laverty D
(2014)
Computational Intelligence, Networked Systems and Their Applications
Laverty D
(2022)
GNSS Time Signal Spoofing Detector for Electrical Substations
in IEEE Transactions on Smart Grid
LAVERTY D
(2015)
Secure data networks for electrical distribution applications
in Journal of Modern Power Systems and Clean Energy
Li K
(2013)
Distributed Adaptive Learning Framework for Wide Area Monitoring of Power Systems Integrated with Distributed Generations
in Energy and Power Engineering
Li L
(2018)
Mean-square error constrained approach to robust stochastic iterative learning control
in IET Control Theory & Applications
Li S
(2020)
Joint SoC and SoH Estimation for Zinc-Nickel Single-Flow Batteries
in IEEE Transactions on Industrial Electronics
| Description | 1. A UK-China joint laboratory on electric vehicles and smart grid has been built and completed, which was inaugurated at the UK-China workshop on 'Shaping a low carbon energy future' in Belfast from August 28-31, 2016, attended by over 90 delegates from UK and China. (http://ukchinaenergy.com/). 2. A wide power range and high performance bi-directional EV charger has been studied and developed. This allows EVs to be used as distributed energy storage, and providing support to our power system. 3. Design of V2G parking lot charging station and analysis of the harmonic characteristics of the V2G parking lot charging station. 4. Development of control strategy for charging and discharging considering different charging station operation modes, coordination between charging station and distributed generation, and the demands of grid operation. 5. Development of stochastic scheduling method for green energy optimization in smart grids considering the spatiotemporal complementaries between EVs and intermittent sources as well as environmental constraints of population centres. 6. Development of mechanism and control strategies for emergency situations of power systems caused by the joint actions of the charging/swapping stations, air-conditioning loads and intermittent sources including wind and solar energy. 7. Development of a hierarchical management scheme for integrated community energy system to coordinate combined heat and power plants (CHP) and thermostatically control loads for an integrated community energy system (ICES). It can effectively reduce the operating cost while smooth the tie-power power fluctuations, leading to reduced energy loss and emissions. 8. A simultaneous estimation method has been proposed for both the battery internal temperature and SOC using EKF method. The joint EKF is used to estimate model states and time-varying model parameters simultaneously, leading to more accurate SOC and better battery protection. 9. A non-convex dynamic economic/environmental dispatch with plug-in electric vehicle loads has been proposed to solve both small and large scale dynamic dispatch problems with better parameter tuning. 10. A quantum inspired binary PSO has been developed to solve unit commitment problem considering electric multiple charging and discharging scenarios of plug-in Electric Vehicles 11. An optimum V2G control strategy has been proposed to charge and discharge EVs. The main objective is to use EV to support grid while maintaining the battery capacity. 12. Stochastic scheduling method for green energy optimization in smart grids considering the spatio-temporal complementaries between EVs and intermittent sources as well as environmental constraints of population centers has been developed to maximize the use of renewable power resources. 13. The factors causing battery capacity loss has been modelled, and battery SOH estimation method has been proposed to prolong battery life. 14. A research framework has been developed to present the interactivity among EVs, surrounding systems and key participants. This framework provide a very useful tool to study the impact of EV on social and economical system. 15. An experimental economics (EE) based multi-agent system has been developed to investigate EV purchase willingness and travel willingness. 16. A novel V2G Charging-Traction PM motor technology has been developed and constructed to eliminate the requirement of additional on-board battery charger in EV. 17. An optimal scheduling strategy has been developed to optimize power flow in microgrid with the integration of EVs under different operational and environmental conditions. 18. A novel wireless charging controller design has been developed to improve the wireless charging performance for EVs. 19. A novel fiber bragg grating sensor based battery monitoring system has been developed in collaborations with City University London to improve the battery management and safety operation. 20. Novel state monitoring schemes have been proposed for a novel flow battery type, namely zinc nickel single flow batteries. |
| Exploitation Route | The outcomes will be taken forward to use by others through workshops, conferences, websites, forum, public media, and knowledge transfer activities and through collaboration with industrial partners and potential spin-out. In particular, the research collaborations with Chinese partner universities has led to the successful application from the British Council to form the first government funded UK-China University Consortium on Engineering Education and Research (http://www.ukchinaengineering.com/), bringing together 9 Russell Group universities in partnership with 9 leading engineering universities in China (including the iGIVE project partner Harbin Institute of Technology) to achieve both national ambitions in building low carbon economy and manufacturing. A number of education and research collaboration activities have been organised by the consortium, including the establishment of the Future Engineers' Leadership and Innovation Academy, which was developed through the UK-China University Consortium on Engineering Education and Research (UK-China UCEER) and aims to build UK-China teams to support both countries manufacturing ambitions. The Consortium signed a Joint Declaration at the UK-China High Level People-to-People Dialogue took place in London in December 2017, under the witness by the Vice Premier Madam LIU Yandong from China and Secretary of State Jeremy Hunt. Further, the consortium has established an industrial exploitation platform for knowledge transfer of the key findings to generate bigger impacts. Two major knowledge exploitation forums have been organized in 2018 at Chongqing and 2019 at Guangzhou respectively, bringing together a number of academic institutions, industrialists, and policy makers to explore research and innovation collaborations between UK and China. These two knowledge exploitation forums have received wide public attentions and media reports, and a number of research collaborations and projects have been launched between the partner institutions. The conference proceeding 'Advances in Green Energy Systems and Smart Grid' published in Communications in Computer and Information Science book series, CCIS, volume 925 at the 5th International Conference on Computing for Sustainable Energy and Environment, ICSEE 2018, Chongqing, China, September 21-23, 2018, which was jointly organized by Prof Li and his Chinese partners has received over 19K downloads worldwide. |
| Sectors | Digital/Communication/Information Technologies (including Software),Education,Energy,Environment,Manufacturing, including Industrial Biotechology,Culture, Heritage, Museums and Collections,Transport |
| URL | http://igive.wikidot.com/ |
| Description | The findings from this project have been widely publicized through dedicated website, journal special issue, international conferences and workshops, dedicated high-level forum, and the findings have been used to support industrial applications and the collaborations have led to the establishment of the first of the kind UK-China University Consortium on Engineering Education and Research. These are summarized below. 1. A UK-China joint laboratory on Electric Vehicles and Smart Grid has been built and completed at Queen's University Belfast (http://igive.wikidot.com/platform), which was inaugurated in the UK-China workshop on 'Shaping a low carbon energy future' held in Belfast, Northern Ireland, UK. A themed issue on 'shaping low carbon energy future' has been published in the Transactions of Institute of Measurement and Control in 2019. 2. The joint laboratory has attracted substantial interest from Wrightbus, a leading bus manufacturer located in Northern Ireland in using our battery technology and test facilities for their new StreetLite Micro Hybrid' buses, one of the most fuel efficient buses on the market. A PhD studentship has been funded to help Wrightbus to design and test new battery systems for their new Micro Hybrid' buses. 3. The project team has also retrofitted two electric vehicles, including a 1981 DeLorean sports car which has been converted from a petrol engine to one operated by electrical propulsion (see facebook - https://www.facebook.com/QUBEV/. The electrified DeLorean has attracted substantial public interest on electric vehicles (http://www.bbc.co.uk/news/uk-northern-ireland-34595527). 4. Collaborations with State Grid EPRI of China have led to development of a hybrid simulation technology to integrate power grid and communication grid models, which can simulate multiple types of control in power transmission and distribution networks, and communication failures in wired and wireless devices. By using this technology, protection controls in power transmission and distribution networks, such as stability controls, AFC, AVC, demand response, can be validated in the platform, and the design, operation and control of a power grid and communication systems can be optimized. 5. Hybrid Simulation Applications in Emission Trading by adopting the hybrid simulation methodology, emission trading behavior models of computer agents have been constructed and validated to represent a group of emission market participants. Furthermore, the influences of key factors on emission price have been investigated. The application software have been successfully applied in the national vocational training for "low carbon economist" in China. 6. The research collaborations with Chinese partner universities has led to the successful application from the British Council to form the first government funded UK-China University Consortium on Engineering Education and Research, bringing together 9 Russell Group universities in partnership with 9 leading engineering universities in China to achieve both national ambitions in building low carbon economy and manufacturing. A number of education and research collaboration activities have been organised by the consortium, including the establishment of the Future Engineers' Leadership and Innovation Academy, which was developed through the UK-China University Consortium on Engineering Education and Research (UK-China UCEER) and aims to build UK-China teams to support both countries manufacturing ambitions. Over a period of two weeks, the first batch of 26 PhD students from across the Consortium have attend the academy held in Nov 2017, and enhanced their creative, technical, transnational communication, and leadership skills. The Consortium signed a Joint Declaration at the UK-China High Level People-to-People Dialogue took place in London in December 2017, under the witness by the Vice Premier Madam LIU Yandong from China and Secretary of State Jeremy Hunt. The Future Engineers' Leadership and Innovation Academy has run consecutively for three years since 2017 and has been widely welcomed by postgraduate students from both UK and China (http://www.ukchinaengineering.com/felia/). 7. A UK-China Knowledge Exploitation and Standardization Forum was held in Chongqing on 21 September 2018, bringing together leading figures from the government, academia and industry to discuss the impact of policy, the role of incubators and catapults, and work out how we can develop mechanisms to facilitate UK-China knowledge transfer collaborations in the area of sustainable energy and intelligent manufacturing. Over 200 academics, industrialists, policy makers from UK and China attended the event. The event was widely reported in China media and in Chongqing TV (http://www.ukchinaengineering.com/RecordofActivities/). 8. Wireless charging technology has been used in developing China's first one-hundred meter mobile wireless charging road for electric vehicles in 2018. 9. The conference proceeding 'Advances in Green Energy Systems and Smart Grid' published in Communications in Computer and Information Science book series, CCIS, volume 925 for the 5th International Conference on Computing for Sustainable Energy and Environment, ICSEE 2018, Chongqing, China, September 21-23, 2018, which was jointly organized by Prof Li and his Chinese partners and include the latest research outcomes arising from the project and UK and China collaborative partners, has received over 19K downloads worldwide. The team led by Prof Kang Li has received the prestigious Springer Nature China New Development Award on 22 Agusut 2019, Beijing, for having made a significant contribution to research which will contribute to the delivery of the 17 Sustainable Development Goals. 10. The second UK-China Knowledge Exploitation and Standardization Forum was held in Guangzhou on 22 June 2019, as part of the international activities organised at China Innovation and Entreprenourship Fair, bringing together leading figures from the government, academia and industry to discuss the impact of policy, introduce collaborative research projects jointly conducted by the UK and China teams, and work out how we can develop mechanisms to facilitate UK-China knowledge transfer collaborations in the area of sustainable energy and intelligent manufacturing. Over 200 academics, industrialists, policy makers from UK and China attended the event. The event was widely reported in China media. Further, the UK-China Unviersity Consortium on Engineering Education and Research has exhibited over 50 research projects at China Innovation and Entreprenourship Fair, attracting substantial interests from public and industrial sectors, and a number of follow-on activities have been progressed. Further, the UK-China University Consortium on Engineering Education and Research via Queen's University Belfast and South China University of Science and Technology has entered into an agreement with the Guangzhou Municipal Science and Technology Bureau for supporting international research and innovation collaborations in 2020. 11. The findings have also led to the design of multi-energy microgrids for railway stations, which integrates renewable power, energy storage and electric vehicles to support railway decarbonization, which is funded by Ofgem Strategic Innovation Fund in 2022. |
| First Year Of Impact | 2015 |
| Sector | Education,Energy,Environment,Manufacturing, including Industrial Biotechology,Culture, Heritage, Museums and Collections,Transport |
| Impact Types | Cultural,Societal,Economic,Policy & public services |
| Description | 2018 UK-China (Chongqing) Knowledge Exploitation and Standardization Forum |
| Geographic Reach | Asia |
| Policy Influence Type | Influenced training of practitioners or researchers |
| URL | http://ukchinaconsortium.com/chongqing-conferenceworkshop |
| Description | UK-China Clean Energy Partnership 2019/20 Conference, Beijing, British Embassy |
| Geographic Reach | Asia |
| Policy Influence Type | Contribution to a national consultation/review |
| Description | UK-China University Consortium on Engineering Education and Research |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | Establishment of the UK-China University Consortium on Engineering Education and Research in 2017, the first of its kind between UK and China. The consortium brings together 15 leading universities from UK and China to tackle the global challenges in sustainable energy and intelligent manufacturing, as one of the two education statements signed at the UK-China high-level people-to-people dialogue held in London in December 2017. Future Engineers' Leadership and Innovation Academy was established, which was developed through the UK-China University Consortium on Engineering Education and Research (UK-China UCEER) and aims to build UK-China teams to support both countries' manufacturing ambitions. First batch of 26 PhD students from across the Consortium met in Beijing in Nov 2017 to develop new technical and creative skills that will help them to solve global challenges. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. Jazreel Goh, Director Education China at the British Council, said: "The UK and China have a long history of education collaboration. Indeed, with more than 275 joint programmes and institutes, the UK and China are world-leading partners in transnational education. But if we want to take forward our shared ambitions of increasing international collaboration, accelerating the growth of world-class universities, and boosting our engineering capacity, we need to look beyond institution-to-institution partnerships. With the establishment of the UK-China University Consortium on Engineering Education and Research we have taken a significant step towards making those ambitions a reality and initiating a new era in UK-China education collaboration." Vivienne Stern, Director of Universities UK International, commented: "Universities UK welcome the provision of funding from the Department of Business, Energy and Industrial Strategy to support innovative initiatives in China such as this transnational Consortium. Having worked with BEIS and the British Council to design and secure funding for this initiative it is fantastic to see Queen's University Belfast and their partner UK universities success in delivering this programme, which promises to create long term benefit for both countries." |
| URL | http://www.ukchinaengineering.com/ |
| Description | UK-China workshop on shaping a low carbon energy future |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | The UK-China workshop on 'Shaping low carbon energy future', in junction with workshops on 'Intelligent computing and control for networked systems' & 'Smart grids and electric vehicles'', provided unique and exciting opportunities for researchers and industrialists worldwide, in particular early career researchers from UK and China to work together to generate innovative ideas for shaping low carbon energy future, which aimed to eventually generate impacts and benefit the society, in particular poor populations which still suffer from fuel poverty and poor access to bulk power. This was achieved via knowledge sharing, brain-storming, knowledge transfer trainings and social networking events. It contributed to the capacity building of early career researchers through mentoring scheme and training, and encouraged high-impact joint publications and help to foster long-term collaborations of researchers and industrialists through joint application of research grants and formation of a research consortium. Ultimately, it will help achieve the strategic plan of developing all around UK-China collaborations in science and technology in delivering impact, shaping capability and training future leaders. Attendees also include Consul General and Minister Counsellor from Chinese Embassy and NSFC Head of Department, who have since the workshop promoted the UK-China partnership on energy research. The workshop has trained a number of early career researchers, and a network has been established among attendees. |
| URL | http://ukchinaenergy.com/ |
| Description | A holistic approach for power system monitoring to support DSO transition |
| Amount | £96,000 (GBP) |
| Organisation | Scottish Power Ltd |
| Department | Scottish Power Energy Networks |
| Sector | Private |
| Country | United Kingdom |
| Start | 11/2019 |
| End | 04/2023 |
| Description | A holistic approach for shaping low carbon energy future in collaboration with China |
| Amount | £20,000 (GBP) |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 10/2016 |
| End | 03/2017 |
| Description | All-Island Knowledge Transfer Initiative |
| Amount | £23,250 (GBP) |
| Organisation | InterTradeIreland |
| Sector | Private |
| Country | United Kingdom |
| Start | |
| Description | Central Research Infrastructure Fund |
| Amount | £100,000 (GBP) |
| Organisation | Queen's University Belfast |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | |
| Description | Collaborative REsearch of Decentralisation, ElectrificatioN, Communications and Economics (CREDENCE) |
| Amount | £374,900 (GBP) |
| Organisation | Danish National Centre for Social Research (SFI) |
| Sector | Public |
| Country | Denmark |
| Start | |
| Description | Creating Resilient Sustainable Microgrids through Hybrid Renewable Energy Systems |
| Amount | £1,259,750 (GBP) |
| Funding ID | EP/R030243/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 05/2018 |
| End | 04/2021 |
| Description | Decarbonizing the whole energy system from head to tail - a smart micro-grid solution |
| Amount | £5,986 (GBP) |
| Funding ID | DVF1415/2/59 |
| Organisation | Royal Academy of Engineering |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | |
| Description | Energy Monitoring Device |
| Amount | £9,950 (GBP) |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 10/2016 |
| End | 02/2017 |
| Description | Establishment of a joint laboratory on electric vehicles and smart grid |
| Amount | £160,000 (GBP) |
| Organisation | Queen's University Belfast |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | |
| Description | FUSION Programme, All-Island Knowledge Transfer Initiative, in collaboration with Aubren Ltd for developing modern control systems |
| Amount | £23,250 (GBP) |
| Funding ID | FU4234 |
| Organisation | InterTradeIreland |
| Sector | Private |
| Country | United Kingdom |
| Start | |
| Description | Holography based optimal scheduling of hybrid energy storage systems for integration of renewable energy generations in smart grid |
| Amount | ¥50,000 (CNY) |
| Organisation | State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source |
| Sector | Public |
| Country | China |
| Start | 01/2017 |
| End | 12/2018 |
| Description | ICURe Innovation to Commercialisation |
| Amount | £35,000 (GBP) |
| Funding ID | 514603902 |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | |
| Description | Intelligent Control for Full Range Exhaust Waste Heat Recovery of IC Engines |
| Amount | £12,000 (GBP) |
| Funding ID | IE141469 |
| Organisation | The International Exchange |
| Sector | Private |
| Country | United Kingdom |
| Start | 03/2015 |
| End | 03/2017 |
| Description | Newton Researcher Links Workshop Grants |
| Amount | £23,800 (GBP) |
| Organisation | British Council |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 01/2016 |
| Description | Optimising energy management in industry |
| Amount | £1,640,000 (GBP) |
| Funding ID | EP/P004636/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 12/2016 |
| End | 11/2019 |
| Description | Optimising energy management in industry ('OPTEMIN2') |
| Amount | £1,640,000 (GBP) |
| Funding ID | EP/P004636/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 12/2016 |
| End | 11/2019 |
| Description | Powering HGVs on England's Future Electric Roads - Safety and Maintenance Assessment of Electrical Power Supply Systems |
| Amount | £86,949 (GBP) |
| Organisation | Department of Transport |
| Department | Highways Agency |
| Sector | Public |
| Country | United Kingdom |
| Start | 10/2020 |
| End | 03/2021 |
| Description | Resilient and Flexible Railway Multi-Energy Hub Networks for Integrated Green Mobility |
| Amount | £118,780 (GBP) |
| Funding ID | 10025479 |
| Organisation | Ofgem Office of Gas and Electricity Markets |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2022 |
| End | 04/2022 |
| Description | Shaping low carbon energy future |
| Amount | £6,000 (GBP) |
| Funding ID | GPF-15 |
| Organisation | British Council |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | |
| Description | State estimation and networked approximate-optimal coordinated control of active distribution network based on both data and mechanism analysis |
| Amount | ¥3,200,000 (CNY) |
| Funding ID | 61533010 |
| Organisation | National Science Foundation China |
| Sector | Public |
| Country | China |
| Start | 01/2016 |
| End | 12/2020 |
| Description | UK China Workshop on Advanced Technologies for Energising Sustainable Urban Transport |
| Amount | £21,500 (GBP) |
| Organisation | British Safety Council |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 08/2016 |
| End | 09/2016 |
| Description | UK Consortium for the collaboration with Chinese Excellence League (E9) Group of Universities", UK-China Knowledge Economy Education Partnership |
| Amount | £200,000 (GBP) |
| Organisation | Department for Business, Energy & Industrial Strategy |
| Sector | Public |
| Country | United Kingdom |
| Start | |
| Description | UK Consortium for the collaboration with Chinese Excellence League (E9) Group of Universities, UK-China Knowledge Economy Education Partnership |
| Amount | £700,000 (GBP) |
| Funding ID | P-CHN1-180053 |
| Organisation | Department for Business, Energy & Industrial Strategy |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2017 |
| End | 02/2021 |
| Description | UK-China Innovation and knowledge Exploitation Forum |
| Amount | £18,000 (GBP) |
| Organisation | British Council |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 06/2019 |
| End | 03/2020 |
| Description | UK-China knowledge consortium on energy and manufacturing |
| Amount | £7,000 (GBP) |
| Organisation | British Council |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 06/2018 |
| End | 03/2019 |
| Title | A Novel Power Grid Partitioning Method for VAR Management and Voltage Control |
| Description | Reasonable network partitioning is an important prerequisite for VAR management and voltage control. In our study, a novel method is first proposed to represent the coupling relationships between nodes by using two analytical expressions derived from Kirchhoff's equations. Then, a recursive bipartitioning strategy is proposed to divide a power grid into different regions. In each network partitioning step, the coupling relationship between generator nodes is applied to dividing the generator nodes under study to two groups, and the voltage sensitivities of generators to loads are used to merge the relevant load nodes to the corresponding groups of generators. The proposed approach involves two main steps: the nodes coupling relationship matrix computation and the recursive network partitioning calculation. Each of the network partitioning processes is further divided into two sub-steps, i.e., the bipartitioning of generator nodes and the merging of load nodes. The purpose of the partitioning process of generator nodes is to divide the generators nodes into two groups where the generator nodes within a group have strong coupling relationships, while the generator nodes between different group is sufficiently uncoupled. The purpose of the loads merging process is to group the load nodes under study into the region where it has the strong coupling relationship with at least one generator node. Case studies have been conducted on the IEEE 118-bus system and a practical provincial-level power system to demonstrate the effectiveness of the proposed methods. Simulation results have shown that reasonable network partitioning results can be obtained after a small number of recursive partitioning processes |
| Type Of Material | Technology assay or reagent |
| Provided To Others? | No |
| Impact | Potentially used for VAR Management. |
| Title | A research framework to present the interactivity among EVs, surrounding systems and key participants |
| Description | In the near future, oil-powered vehicles will be gradually replaced by EVs, but there is still a transition period. The EV-involved system should include automobile manufactories, public utilities including transportation systems, gas stations as well as the behind networks to supply oils, battery charging stations as well as the behind electric power systems and the environment system. Key participants are travelers, automakers, charging service providers, power grid companies and policy makers, etc. Travelers can be further classified into 2 types: the strongly controllable ones including taxi drivers, public transportation suppliers, etc. who earn money directly from transportation service, the weakly controllable ones mainly referring to drivers who use cars for private purposes. The former ones has better responses to policies than the latter ones. The use of oil-powered vehicles need support from gas station networks, and produce emissions to the environment. EVs need support from charging station networks whose power is fed by the power system. Because the use of EVs is expensive and contains low efficiency, e.g. the charging process is much longer than the refueling process, policy makers have to provide subsidies to EV manufacturers or customers. If not doing so, customers will not buy EVs and manufacturers have no passions to continue upgrading and expand production for EVs, which delays the EVs to become better and cheaper. As another consequence, charging stations remain poor popularity, the power system is still not friendly to EVs, and the environment continues enduring the emission from vehicles. Therefore, the dead cycle of the whole system is only reinforced. It is costly to break the dead cycle in the current technical conditions. Modeling the system and understanding the behaviors of key participants will help minimize the pain in the energy transition process. |
| Type Of Material | Technology assay or reagent |
| Provided To Others? | No |
| Impact | A very useful framework to study the impact of EV on our society. |
| Title | An integrated model-based real-time battery SOC estimation method |
| Description | This is proposed based on the developed battery electrical model at constant ambient temperature. Two different types of SOC estimation methods for Lithium-ion batteries are proposed and compared, one based on model parameter identification using WRLS method and another based on state estimation using EKF method. Considering that the battery internal resistance increases noticeably at low SOC level, the joint-EKF method is adopted for simultaneous estimation of both the system states and the time-varying model parameters. A battery internal temperature estimation method is proposed based on the developed battery thermal model using EKF method, which can serve as a key indicator for battery real-time management and control. Finally, based on the developed battery thermoelectric model, a novel method is proposed for simultaneous estimation of both the battery internal temperature and SOC using EKF method. Different methods for calculating the heat generation inside the battery are compared, and the effect of battery internal temperature and SOC on the battery electrical behaviors is characterized experimentally and captured by the developed model. The time-varying thermal submodel parameter at different heat dissipation levels is also taken into consideration, and a joint EKF is applied to estimate the model states and time-varying model parameter simultaneously. The proposed algorithm is based only on the online measurable signals, e.g., battery voltage, current and shell temperature, and thus can be implemented in real-time. The efficacy of the proposed battery SOC and internal temperature estimation method is verified by experimental results using the thermal test data collected using the developed test system. |
| Type Of Material | Technology assay or reagent |
| Provided To Others? | No |
| Impact | SOC estimation is very important in EV applications. This research used battery internal temperature which is more reliable than other alternatives. |
| Title | Battery charging/discharging test platform |
| Description | This new research platform provide powerful and flexible battery charging/discharging test under different environment (-20°C to 60°C). 15kw charging can provide up to 500v voltage and 90A charging current while the 10.5 inverter can accept up to 250v voltage and 210 discharging current. This load can feed energy back to grid, avoiding wasting of energy during the discharging test. We also developed our own battery management system to protect li-ion battery. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Impact | This facility starts to attract interest from both industry and academy. |
| URL | http://igive.wikidot.com/platform |
| Title | Capacity-loss analysis and SOH estimation for EVs in V2G |
| Description | For EVs, battery SOH is always defined with two specific forms, and they are SOHE and SOHP to indicate the degradation of energy and power, respectively. This research analysed battery capacity lose and SOH estimation through the following aspects. 1) The Relationship between Resistance Increase and Capacity Loss 2) The Effects of Temperature on Internal Resistances 3) Identified an EMC model for SOH estimation. |
| Type Of Material | Technology assay or reagent |
| Provided To Others? | No |
| Impact | SOH is an important information for battery applications. |
| Title | Charging and discharging strategy of V2G parking lot charging station |
| Description | Parking interval constraints should be considered first when EVs take part in peak-load regulation service. Then remaining SOC and spare SOC constraints should be considered. When EV user arrive the parking lot, he should offer remaining SOC and spare SOC date. If there is not enough remaining SOC, peak-load regulation will not work. If remaining SOC is higher than spare SOC, peak-load regulation range will be calculated. Finally EV discharging range should be in grid peak-load range to make the modulation best. The best discharging time interval for each EV is obtained, then it can obtain all EV discharging time intervals. The basic principle of peak-load modulation strategy based on grid electrovalence is that, using high electrovalence range as discharging time interval under EV parking range and SOC constraints. First EV arriving time and leaving time should be determined based on EV parking data. Then making sure whether peak-load modulation should be done based on the current battery capacity and reserved capacity information. If it should do peak-load modulation, then making sure the total number of EV needed discharging. Finally sorting electrovalence in these ranges and choosing high electrovalence range to discharge. Both peak-load modulation strategies require each EV operation data. These data can be obtained using Monte Carlo method. Each EV's discharging range can be determined by simulating EV's mileage information, reserved capacity information, remaining SOC information and arriving/leaving information. |
| Type Of Material | Technology assay or reagent |
| Provided To Others? | No |
| Impact | This development can potentially been used in new V2G charging infrastructure. |
| Title | Differentiated power dispatch with environmental capacity margin constraints |
| Description | This is about the daily generation schedule of thermal power units considering differentiated environmental capacity margins of key area and differentiated coal consumption and emission levels of power unit. The optimization model of power dispatch is established, in which the total cost of coal, the total amount of emission, and the reduction of pollutants' concentration in key areas are taken as the objectives of expectation. Within the model, the calculation of the amount of the reduction on pollutants' concentration is based on Gaussian puff dispersion model, the weather forecast data and the predicted pollution levels in densely populated areas. The model is solved by steps and by sets. First, the basic generation schedule without environmental capacity margin constraints is solved. Second, under the basic schedule, the power units that contribute more to the environmental capacity in key areas under specific weather conditions are classified into subset1 and their power is to be reduced to meet the environmental requirements; other units which are less harmful to environment are classified into subset2 and their power is to be increased by an equal amount to meet power balance requirements. Third, by revising the schedule of the two subsets using Lagrange multiplier method, the differentiated daily generation schedule is formed. However, the spinning reserve of the system and the accommodation abilities of wind power can be changed because of the revision of the basic generation schedule. Therefore, a more complete generation schedule with second revision is proposed. After the first revision, if the spinning reserve of system is insufficient, the schedule will be revised for the second time to meet spinning reserve capacity requirements. Similarly, if the accommodation abilities of wind power are changed, the generation schedule of wind farm will also be adjusted. Based on the first revision schedule, considering different possibilities of spinning reserve capacity and wind power consumption, 8 different situations are discussed for the second revision schedule. For each situation, after obtaining the total amount of adjustment of wind power and thermal power, the total amount is allocated to each unit with respect to different environmental capacity margins and different unit coal consumption levels. Finally, the schedule of second revision is solved by Lagrange multiplier method. Two practical examples are applied to verify the effectiveness of the proposed method. The simulation results prove that the differentiated power dispatch solution is valid on solving daily power generation schedule with consideration of environmental capacity margins of key area, wind power accommodation abilities and spinning reserve capacities. In the process of solving the daily power generation schedule, the forecasted net load data should be obtained based on the simulation of the power system containing renewable power resources and electric vehicle cluster charging loads. |
| Type Of Material | Technology assay or reagent |
| Provided To Others? | No |
| Impact | It provide useful information for charging infrastructure design. |
| Title | Driving cycle hardware-in-the-loop simulation and Wireless charging platform |
| Description | In order to study the effect different driving behaviour on battery life, a driving cycle simulation consisted of physical electric bicycle wheel coupled with a dynamic changing load. This platform can be connected to a 48V battery pack which is available separately or through our retrofitted G-Wiz EV. Recorded variables include temperature, current, voltage, speed, slope, and location. The wireless charging platform is based on Evatran plugless system. A custom made 6 degree freedom moving frame was designed to mount the energy receiver. The purpose was to develop a automatic control system to maximize the charging efficiency. |
| Type Of Material | Improvements to research infrastructure |
| Provided To Others? | No |
| Impact | This platform can lead to a few research directions in the area of EV and battery. |
| Title | EV scheduling strategies for microgrid |
| Description | Microgrid is a localised electrical network comprising of distributed sources and loads. Of the distributed sources, renewable energy sources such as the wind and solar energy are uncontrollable, whilst distributed generators such as diesel generators, micro turbine and fuel cells which are controllable. Microgrid also includes fixed storage devices such as stationary battery banks or mobile storage devices such as electric vehicle (EV) batteries. In addition, it has controllable loads that can be curtailed to prevent the system from outages. Microgrid can operate either autonomously in an isolated mode, or linked to the utility grid in connected mode. In both operational modes, microgrid has to maintain stability and meet local loading demands. The increasing penetration of these new energy sources with distinctive operational features creates many challenges in various aspects, and in particular the optimal management of power flow within the microgrid. Scheduling strategies based on the optimised power flow in the microgrid are developed. The integration of EVs under different operational and environmental conditions are investigated, and different charging and discharging approaches have been carried out. The proposed approaches are tested on typical low voltage connected and isolated modes microgrids. It is shown that the EVs represent an interesting dynamics between the energy sources and loads. Suitable dispatching and scheduling of the EVs will have an important impact on the stability and efficiency of the microgrid. |
| Type Of Material | Technology assay or reagent |
| Provided To Others? | No |
| Impact | The outcome provide technology and knowledge to maximize the use of EV as distributed energy storage. |
| Title | H Bridge Cascade Converter Control in Charging and Swapping Station |
| Description | Converter of electric vehicle charging and swapping station is the key equipment of energy bidirectional transmission between the battery and the AC power grid, the access of electric vehicle has a great impact on the current and power of the power grid side. To improve the power quality and ensure the network side has good properties in the process of battery charging and discharging, current on the AC side of the charging device converter must be reasonably controlled. Meanwhile, the DC voltage output stability of the charger should be ensured to avoid impact on battery life, owing to the great change of charging voltage. For the charging and swapping power plant using H-bridge cascaded multilevel converter structured charger, DC voltage balance control method in and among phases are put forward. By controlling the DC voltage balance of the converter to ensure a stable output voltage of the charger, on one hand, achieves the overall balance of the a?b?c three-phase DC output voltage, that is, achieves the inter-phase DC voltage balance, so that in the charging and discharging process of electric vehicles, the system is in a three-phase equilibrium state. On the other hand, the voltage balance between the H-bridge within the single-phase equilibrium of the converter is realized, providing stable charging and discharging voltage for the battery. Combined with fixed switching frequency and hysteresis control characteristics, on the basis of hysteresis PWM current control method, the control of switching frequency is introduced to limit the switching frequency variation and the quasi-frequency hysteresis PWM current control is proposed. This will not only overcome the defects of sensitive circuit parameter change by fixed switching frequency PWM current control, but improve the tracking performance for the charging and swapping power station current on the power gri+*-d side. This will also solve the problem of varying switching frequencies in the hysteresis control and reduce the damage to the charger. Through the simulation of battery charging and discharging process, the DC voltage can be stabilized at a given value and the current on the AC side realizes sinusoidal and in phase with the grid voltage, with small harmonic content and high power factor. The effectiveness of the charger control strategy provides the basis for large-scale electric vehicle charging. |
| Type Of Material | Technology assay or reagent |
| Provided To Others? | No |
| Impact | This is a key technology in developing V2G infrastructure. |
| Title | Hierarchical Management for Integrated Community Energy System |
| Description | A hierarchical management approach is proposed to coordinate combined heat and power plants (CHP) and thermostatically control loads for an integrated community energy system (ICES). The proposed hierarchical framework is presented as day-ahead scheduling and two-layer intra-hour adjustment systems. Two objectives, namely the operating cost minimization and tie-line power smoothing, are integrated into the framework. In the intra-hour adjustment, a master-client structure is designed. The CHP and thermostatically controlled loads are coordinated by a method with two different time scales in order to execute the schedule and handle uncertainties from the load demand and the renewable generation. To obtain the optimal set-points for the CHP, an integrated optimal power flow method is developed, which also incorporates three-phase electric power flow and natural gas flow constraints. Furthermore, based on a time priority list method, a three-phase demand response approach is proposed to dispatch thermostatically controlled loads at different phases and locations. The developed methodology is applied to a simulated community energy system obtained from a modified IEEE 37-node system. Numerical results have shown that the proposed scheduling method can effectively reduce the operating cost while smooth the tie-power power fluctuations. It is also shown that the amount of data traffic will be significantly reduced as only the operating boundary information is transmitted. The proposed method can also be used to meet other requirements for the integrated community energy system, such as minimizing the energy loss and emissions. |
| Type Of Material | Technology assay or reagent |
| Provided To Others? | No |
| Impact | The developed management system could help to reduce energy loss and emissions for integrated community energy system. |
| Title | Improved Real-time State-of-Charge Estimation of LiFePO4 Battery |
| Description | Li-ion batteries have been widely used in electric vehicles, and battery internal state estimation plays an important role in the battery management system. However, it is technically challenging, in particular, for the estimation of the battery internal temperature and state-of-charge (SOC), which are two key state variables affecting the battery performance. In this paper, a novel method is proposed for realtime simultaneous estimation of these two internal states, thus leading to a significantly improved battery model for realtime SOC estimation. To achieve this, a simplified battery thermoelectric model is firstly built, which couples a thermal submodel and an electrical submodel. The interactions between the battery thermal and electrical behaviours are captured, thus offering a comprehensive description of the battery thermal and electrical behaviour. To achieve more accurate internal state estimations, the model is trained by the simulation error minimization method, and model parameters are optimized by a hybrid optimization method combining a meta-heuristic algorithm and the least square approach. Further, time varying model parameters under different heat dissipation conditions are considered, and a joint extended Kalman filter is used to simultaneously estimate both the battery internal states and time-varying model parameters in realtime. Experimental results based on the testing data of LiFePO4 batteries confirm the efficacy of the proposed method. |
| Type Of Material | Technology assay or reagent |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Impact | A novel method was proposed in this paper to estimate the battery internal temperature and SOC simultaneously. A simplified thermoelectric model was built, including an electrical submodel and a thermal submodel. For the thermal submodel, different methods for calculating the heat generation inside the battery were compared; for the electrical submodel, the effect of the battery internal temperature and SOC on the battery electrical behaviours was characterized and captured. The time-varying thermal submodel parameter was also taken into consideration, and a joint EKF was applied to estimate the model states and time-varying model parameter simultaneously. The proposed estimation method is based only on the online measurable signals, e.g., battery voltage, current, and shell temperature, and thus, can be implemented in realtime. Test data were collected using a LiFePO4 battery. The modelling and internal temperature and SOC estimation results have confirmed the efficacy of the proposed method. |
| URL | https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7569073 |
| Title | Non-convex Dynamic Economic/Environmental Dispatch with Plug-in Electric Vehicle Loads |
| Description | One of the key operational activities in the power system is to schedule power production according to the predicted load demands. Dynamic economic and environmental dispatches (DEED) are both crucial objectives in this scheduling task because a small percentage improvement may potentially bring significant cost savings and operational improvements. The goal of economic dispatch is to minimize the cost by determining the power production of thermal power plant units, while managing system constraints, balancing power production and load demand, and meeting plant operational requirements, e.g. ramp rates. Similarly, the objective of environmental dispatch is to minimize emissions under the same system constraints. Both dispatch problems are difficult to solve due to the non-smooth non-convex DEED formulations in cost functions and constraints, especially for large power systems. Fast development of renewable power sources and changes in load demand bring more planning and operational uncertainties to the grid. Plug-in electric vehicles (PEVs) with high penetrations are potentially important participants in the power system due to the additional large load requirements. The stochastic charging of PEVs may also significantly affect the distribution grid as well as increase the generation costs and pollutants emissions if not managed efficiently. It is therefore of importance to measure the impact of different PEV charging scenarios on the power system and intelligently schedule and dispatch power generation using an optimized DEED system approach. A variety of objective and constraint handling methods have been developed to tackle different scheduling scenarios such as static and dynamic dispatch reserve constrained dispatch as well as ELD integrating with renewable energy sources. These non-smooth and non-convex tasks have imposed significant challenges on the conventional optimization techniques. Hence, heuristic approaches are widely used in solving the ELD problem. In this work, four different types of PEV loads including an institute published load profile, peak and off-peak load profiles and a stochastic load profile are integrated into the dynamic economic load dispatch problem and environmental load dispatch problem respectively. A recently proposed meta-heuristic method, namely the teaching learning based optimization (TLBO) is utilized to solve the EELD problem. The four cases of PEV load deployment strategies that shape the charging loads in different time periods are assessed and compared in terms of the total cost and pollutant emissions. A small scale 5-unit system and a large scale 15-unit system are tested in 24-hour time period. Four different PEV charging scenarios including EPRI predicted charging, off-peak charging, peak charging and stochastic charging profiles with different number of PEV have been integrated in the load demands of both systems. The numerical results show that the new SL-TLBO algorithm is a viable alternative approach for solving both small and large scale dynamic dispatch problems and outperforms other popular heuristic methods and state-of-the-art TLBO variants in the tests on well-known benchmarks and DEED problem with proper parameter tuning. In terms of the four PEV charging scenarios, the off-peak charging scenario, as expected, has the advantage in reducing the economic cost and environmental pollutant emissions. |
| Type Of Material | Technology assay or reagent |
| Provided To Others? | No |
| Impact | This output could assist to develop smart charging control strategy. |
| Title | Novel V2G Charging-Traction PM motor technology |
| Description | A novel 2kW PMSM machine is specifically designed for the iGIVE program to provide traction and battery charging. It is a dual-use machine technology that eliminates the requirement to have an additional on-board battery charger. Comprehensive design and simulation have been conducted including: • Systematic design has been carried out to satisfy the requirement of the dual-use traction charging system. The challenges for the PMSM drive are torque ripple elimination and three-phase inductance asymmetry during charging. Both of these challenges have been resolved by special pole slot combination and a patentable winding design. FEM simulation has been conducted for validation. • Systematic electromagnetic design, parameter calculations and performance predictions have been undertaken using a range of design tools, including FEM modelling, circuit simulator, and co-simulation schemes. • Comprehensive mechanical and structural performance assessment including the centrifugal force analysis, natural frequency analysis and vibration analysis have been undertaken using 2-d and 3-d FEM models. • Significant research on motor drives The prototype machine was manufactured in the last quarter of 2015, and being used for the system developing in the lab at Cranfield. The key developments include: • The vector control with sensorless algorithm was developed based on DSP 28335. • The open circuit has been tested for the machine. • The no-load condition test has been tested with the maximum speed at 1280rpm (the designed value is 1250rpm, very close agreement to the test result). • The load-condition with 10Nm at 1000rpm was tested in the platform. In addition, significant research results in the modelling and design of the PMSM motor drives have emerged which are related but not in the original objectives. These are: 1. A new IPMSM preliminary design model is proposed; 2. A new air-gap flux density model is proposed; 3. The analytical sideband current model in PMSM is firstly proposed and a further nonlinear model is developed for both SPWM and SVPWM techniques. 4. The analytical model for high frequency vibration in PMSM is proposed for integral slot machine, and a further model for concentrate winding machine has been studied. 5. A new model for low frequency vibration is proposed. |
| Type Of Material | Technology assay or reagent |
| Provided To Others? | No |
| Impact | This dual-use machine technology could eliminates the requirement to have an additional on-board battery charger. |
| Title | Online battery internal temperature estimation method |
| Description | Li-ion batteries have been widely used in the EVs, and the battery thermal management is a key but challenging part of the battery management system. For EV batteries, only the battery surface temperature can be measured in real-time. However, it is the battery internal temperature that directly affects the battery performance, and large temperature difference may exist between surface and internal temperatures, especially in high power demand applications. In this paper, an online battery internal temperature estimation method is proposed based on a novel simplified thermoelectric model. The battery thermal behaviour is first described by a simplified thermal model, and battery electrical behaviour by an electric model. Then, these two models are interrelated to capture the interactions between battery thermal and electrical behaviours, thus offer a comprehensive description of the battery behaviour that is useful for battery management. Finally, based on the developed model, the battery internal temperature is estimated using an extended Kalman filter. The experimental results confirm the efficacy of the proposed method, and it can be used for online internal temperature estimation which is a key indicator for better real-time battery thermal management. |
| Type Of Material | Technology assay or reagent |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Impact | Battery internal temperature estimation plays a key role in the battery thermal management of electric vehicles for safe and efficient battery operations, especially in high power applications. A novel simplified thermoelectric model is built in this paper considering the interactions between battery terminal electrical behaviour and internal thermal behaviour. Based on this model, battery internal temperature is then estimated using the Kalman filter method in real-time, and serves as an indicator for developing battery thermal management strategies. The proposed estimation method is based only on the online measurable signals, e.g., battery voltage, current and shell temperature, and thus can be implemented in real-time. Test data are collected using a LiFePO4/C battery. The modelling and internal temperature estimation results has confirmed the effectiveness of the proposed method. |
| URL | https://www.sciencedirect.com/science/article/pii/S0378775315304390 |
| Title | Online estimation of battery equivalent circuit model parameters and state of charge using decoupled least squares technique |
| Description | Battery equivalent circuit models (ECMs) are widely employed in online battery management applications. The model parameters are known to vary according to the operating conditions, such as the battery state of charge (SOC). Therefore, online recursive ECM parameter estimation is one means that may help to improve the modelling accuracy. Because a battery system consists of both fast and slow dynamics, the classical least squares (LS) method, that estimates together all the model parameters, is known to suffer from numerical problems and poor accuracy. The aim of this paper is to overcome this problem by proposing a new decoupled weighted recursive least squares (DWRLS) method, which estimates separately the parameters of the battery fast and slow dynamics. Battery SOC estimation is also achieved based on the parameter estimation results. This circumvents an additional full-order observer for SOC estimation, leading to a reduced complexity. An extensive simulation study is conducted to compare the proposed method against the LS technique. Experimental data are collected using a Li-ion cell. Finally, both the simulation and experimental results have demonstrated that the proposed DWRLS approach can improve not only the modelling accuracy but also the SOC estimation performance compared with the LS algorithm. |
| Type Of Material | Technology assay or reagent |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | Battery equivalent circuit models are widely used in battery management system applications, and the model parameters depend on the operation conditions. Adaptive parameter estimation techniques can be used to track the parameter evolution and to improve the modelling accuracy. In addition, the battery system consisting of both fast and slow dynamics causes numerical problems to the traditional LS-based method for model parameter estimation. In order to overcome these problems, this paper proposes the novel DWRLS method which estimates separately the model fast and slow dynamics. SOC estimation is also achieved based on the ECM parameter estimation results, without the use of an additional full-order observer. Both the simulation and experimental studies have been conducted to validate the superiority of the proposed DWRLS method over the traditional LS algorithms in terms of modelling and state estimation accuracy. The results confirm convincingly that the proposed approach possesses enough capability for both offline model training, and online parameter and battery SOC estimation with high accuracy. This designed technique therefore has the high potential for realtime battery management applications in electric vehicles and other battery energy storage systems. |
| URL | https://www.sciencedirect.com/science/article/pii/S0360544217317127 |
| Title | Optimal Charging of Electric Vehicles Considering Network Security Constraints Using Benders Decomposition |
| Description | Large-scale integration of electric vehicles (EV) and wind power could bring out seriously negative impacts on power systems security. Therefore, it is becoming an increasingly important issue to develop an effective charging strategy of EVs. Our study proposes a formulation for optimal charging schedule of EVs taking N-1 security constraints into account. Individual EV aggregator representing a cluster of controllable EVs is used to determine the optimal charging schedule, based on a three-level hierarchy. On the top level, the control center determines the EV charging strategy from the proposed optimal formulation, where voltage fluctuations of buses, power losses of networks, charging regulations of EVs are considered as multi-objective functions. At the middle level, the aggregators integrate EVs information such as state of charge (SOC) and charging demands, and transfer an equivalent model upstream to the control center. At the bottom level, the EVs parked in residential or commercial districts communicate with the aggregator, and each EV follows the schedule it receives until it is disconnected for its next trip This study focuses on the transmission level to obtain a day-ahead schedule of EV aggregators for improving the system voltage profile and reducing the power loss. To reduce the computational burden, the Benders decomposition technique is introduced to partition the optimal charging model into a base-case master problem and a set of slave problems relevant to various contingencies. Case studies have been conducted on the New England 39-bus system, and the results verify the necessity of considering N-1 security constraints and the effectiveness of the proposed methods. |
| Type Of Material | Technology assay or reagent |
| Provided To Others? | No |
| Impact | Potentially used for charging infrastructure design |
| Title | Participation Strategies of Electric Vehicles to Power System Frequency Regulation Consider Battery's Life Loss |
| Description | In order to obtain the influence of frequency regulation on EVs batteries lifespan and the corresponding economic benefit. Depending on the life test of lithium-iron phosphate batteries, the model of EVs batteries is built. What's more, on account of the charging/discharging mode, the strategy of primary frequency regulation is generated. In the light of ambient temperature, the strategy of compensation for EVs users in different areas is analyzed. Most topics study the deep dielectric charging and discharging of EVs batteries and built experimental model. However, in the process of power grid primary frequency regulation, the superficial dielectric charging/discharging is the key factor. In this topic, the model is based on the actual experimental data, considering four factors, cycle-index, temperature, depth of discharge and current. The lifespan of EVs batteries is measured by the capacity loss. In actual power system, change of frequency is very small. The character of battery lifetime can be linearized locally at the rated frequency. In order to avoid slight fluctuation, dead zone is set. In addition, the limit of power can avoid the battery in unhealthy situations, such as over-charging, over-discharging, etc. For reflecting complexity of actual power system, single-region power grid model includes three generators with different generator frequency coefficients, zero bands and power distributions, all control primary frequency. What's more, two generators take part in secondary frequency control. Based on the data from Huabei power grid, comparing with power grid without EVs, the frequency deviation decreases by nearly one fifth. There are two operating modes of EVs batteries, charging mode and discharging mode. Therefore, two strategies of primary frequency regulation are generated. In Stragety 1, EVs batteries can be seen as bi-directed transfer. Nevertheless, in Strategy 2, charging and discharging are separated into two groups China is a far-flung zone country with different climate zones. Hence, the standard of compensation should depend on climate zones with different ambient temperature. In the longitudinal direction, four cities, including Harbin, Beijing, Shanghai, Haikou are chosen with 10 degrees latitude difference. Similarly, in the lateral direction, four cities, including Shenyang, Yinchuan, Dunhuang, Kashen are chosen with 15 degrees longitude difference. From the data above, mean annual capacity loss of EV batteries in different cities can be calculated |
| Type Of Material | Technology assay or reagent |
| Provided To Others? | No |
| Impact | This highlights the use of EV in Power system frequency regulation |
| Title | Procedural Simulation Method for Aggregated Charging Load Model of Electric Vehicle Cluster |
| Description | To approach quantitative research on the complementarities between electric vehicles and intermittent generation, procedural simulation method for aggregating charging load model of electric vehicle cluster is proposed. The obtained charging load, with temporal features, is consecutive in the working days and the working-ends. Combined this charging load curve and intermittent generation output curves, the complementarities can be analyzed by several related quantitative indicators. In this regard our group is currently taking the private electric vehicle cluster and the electric bus cluster as examples to do the deep research and get some initial results. (1) Procedural simulation method for aggregated charging load model of private electric vehicle cluster The usage of each private electric vehicle (PEV) is a repeating behavior process composed by driving, parking, discharging and charging, which makes PEV show obvious procedural characteristics. This study analyzes the procedural characteristics, and proposes a procedural simulation method. The proposed method aggregates the behavior process regularity of the PEV cluster to model the cluster's charging load. Firstly, the basic behavior process of each PEV is constructed by referring the statistical datasets of the traditional private non-electric vehicles. Secondly, all the basic processes are set as a simulation starting point, and they are dynamically reconstructed by several constraints. The simulation continues until the steady state of charge (SOC) distribution and behavior regularity of the PEV cluster are obtained. Lastly, based on the obtained SOC and behavior regularity, the PEV cluster's behavior processes are simulated again to make the aggregating charging load model available. Examples for several scenarios show that the proposed method can improve the reliability of modeling by grasping the PEV cluster's procedural characteristics. The modeling approach consists of two consecutive parts. The first part aims at aggregating information about the SOC and serialized time indicators for all the PEV individuals. And the second part models the charging load of the cluster based on the converged solution of the first part. (2) Procedural modeling for charging load of electric buses cluster cased on battery swapping mode To forecast and assess the impact of large-scale electric buses (EBs) to power grid, the aggregating charging load model of EBs cluster is indispensable. As EB's typical operating, including driving and parking, is a cyclical process and has obvious regularity, a procedural simulation method for aggregating charging load model of EBs cluster based on battery swapping mode is proposed. With the data come from specific buses lines and other information readily available, the process of each individual in EBs cluster is continuously simulated. Then time and SOC information of battery packs emerge and be recorded. Combined with specific charging control method, access to corresponding aggregating charging load model is available. The proposed method has been verified by simulation on an actual buses line with charging/swapping station. The results shows that the proposed method can grasp characteristics of EBs cluster's charging load under multiple factors, thereby improve the practicality and reliability of modeling. To simplify the analysis, without considering dispatching of batteries, only Station C is taken as example in subsequent analyzes. And Station is set to be both a bus station and a charging/swapping station. Then the total modeling method is given as follows. Firstly, according to scheduling information and driving route of a specific bus line, establish the general framework for total simulation. After that, using this framework and taking EBs' parameters into consideration, continuously track and simulate each EB's behavior. The tracking and simulating involve EB's departure, driving, returning, swapping batteries and parking, namely every segments of EB's behavior. Then, combined with corresponding traffic conditions and other information, the SOC and arriving time of each EB are available. When an EB arrives Station C, whether it needs battery swapping service is determined by both of its subsequent driving demand and batteries' SOC. The information of batteries replaced, such as SOC and charging begin time, can be obtained in the process of simulation. Then total aggregating charging load of EBs can be obtained from the calculation of such information. |
| Type Of Material | Technology assay or reagent |
| Provided To Others? | No |
| Impact | This outcome can provide guidance on aggregated charging of large group of EVs. |
| Title | Questionnaire based method for studying EV users' traveling willingness |
| Description | When a decision-making problem is a process influenced by multiple independent features, each question can be directed against each feature. Under this design, the number of question is minimum. However, if the features are not independent and no further decomposition of features is possible, then the internal logical relations among questions should be understood and considered in the process of knowledge extraction. Due to the shortage in range and energy supplement, the features influencing users' travel behaviors have great differences between an EV's and an oil-powered vehicle's. These feature aspects includes vehicle performance, user anxiety and particular scenario. Range is thought as a key feature in vehicle performance; range anxiety, time for quick charging and queuing up during a travel, etc. are chosen to reflect user anxiety; charge times during a travel is chosen to describe the influences from particular scenario. The features of range, range anxiety and charge times during a travel are interrelated. Under a given travel scenario, users' choices on range and range anxiety should be known before charge times is confirmed. Therefore, range and range anxiety are put into the place where their extractions are sooner than the particular scenario features. The questions about particular scenario features contain an option called "depending on other conditions", which is designed to be connected with user anxiety features, in order to avoid the increase of similar questions in each particular scenario and respondents' boredom. Enlarged coverage area of questions on scenarios is obtained by tactfully using relative values instead of absolute values (e.g. using charge times during a travel instead of using travel distance directly), and the relation among questions (e.g. range and charge times). Meanwhile, the dependency of effective questionnaire analysis on the number of samples is decreased by including a question to sort the importance of user anxiety features. |
| Type Of Material | Technology assay or reagent |
| Provided To Others? | No |
| Impact | The outcome could help both EV manufacturing and charging facility company to determine the optimal charging strategy and battery management system. |
| Title | Questionnaire survey for EV purchase willingness study |
| Description | It is vital to model EV users' willingness, especially the household users', on purchase, travel and charging for the interactive simulation of an EV-involved system. The questionnaire survey is one of important information collection measures of EE-based studies. The information collection is implemented by questionnaire surveys. Following the step, answer sheets are analyzed, and decision modes are extracted for building computer agents. Together with other models to present the system, agent-based models will help simulate the human-involved system. A decision problem mainly focuses on multiple characteristic factors. These factors may relatively independent but have different importance. A decision is made by comparing the psychological requirement with the product's feature on each factor in a sequence of their importance. In order to build agents ruled by the decision modes, a series of random number filters are created to simulate the choices of respondents: an individual's decision is described as numbers randomly generated based on the choices' distribution on a single factor or a combination of factors. A setting in a vehicle configuration decide the corresponding filter's size. If the size is better (sometimes larger, sometimes smaller) than the random number in the same factor (group), then the result is a pass. The sequence to use filters will influence the use of joint distributions, therefore the result. If all filters are passed, then the individual agent is thought to have the purchase willingness on that vehicle type. |
| Type Of Material | Technology assay or reagent |
| Provided To Others? | No |
| Impact | A useful tool to gather information and the study can help manufacturers and policy makers to promote EVs. |
| Title | Unit commitment considering electric multiple charging and discharging scenarios of plug-in Electric Vehicles |
| Description | As an important step in power system operation, the unit commitment (UC) is a large scale non-convex mix-integer optimization problem. The on/off status of each unit and the determined to minimize the generation cost. Though a number of methods have been proposed to optimize the UC problem, it remains intractable to balance due the computational time and the result refinement. The UC problem becomes even more challenging when a large number of EVs are integrated into the system. In addition to traditional thermal units and predicted loads, the aggregation of a large number of PEVs would act as both a large load when being charged and a distributed generator unit when being discharged. Some studies consequently introduced PEVs into the UC optimization procedure to evaluate the economic and environmental impacts of PEV charging and discharging within the conventional UC problem. Different PEV charging and discharging scenarios have shown significant impact on the cost, yet very few publications have comparatively evaluated the difference of PEVs charging and discharging strategies within the UC problem. In this paper, multiple PEVs scenarios including four different charging-only scenarios, two different discharging only scenarios, two charging and discharging combination scenarios, as well as PEV s charging and discharging combined with renewable energy sources are comparatively studied in the UC problem, which is now called as the PEVUC problem. In this analysis the binary on/off problem in UC is solved using a quantum inspired binary PSO. Quantum inspired and hybrid typology binary particle swarm optimization and other binary optimization methods are employed to determine the binary status of each unit. Four scenarios of wind generation over multiple seasons, one scenario of photovoltaic generation and four scenarios of plug-in electric vehicles charging loads are comparatively studied. The numerical results show that the new algorithm significantly overcomes the drawback of the original binary particle swarm optimization and is competitive in terms of solving the unit commitment problem. By utilizing these new tools, the contribution of economic cost and cost/saving rates are analyzed in multiple scenarios of unit commitment with the integration of renewable energy generation and plug-in electric vehicles charging. A 10-unit UC problem is assessed, combining multiple PEV charging and discharging scenarios including charging only mode, discharging-only mode, charging and discharging mode, and charging and discharging combined with renewable energy generation mode. Different PEV scenarios are comparatively studied and the UC problem is solved using a quantum-inspired binary particle swarm optimization method. The results show that to charge PEVs during off-peak time and discharge PEV during peak time can bring significant benefits in terms of the economic cost. On the other hand, PEVs are promising to work together with the renewable generation to replace thermal units and gain profit. |
| Type Of Material | Technology assay or reagent |
| Provided To Others? | No |
| Impact | This research proposed a good solution for unit commitment problem. |
| Title | Voltage Friendly Control Strategy of Air-Conditioning Loads |
| Description | Air-conditioning loads have greatly increased in recent years and the study shows that there will be still a huge demand for air conditioning loads. Voltage collapse accidents, for example the Paris blackout in 1978 and the Tokyo blackout in 1987, have occurred many times due to the rapid increase of ACLs in the short time. In our study, a hierarchical two-level voltage friendly control strategy (VFCS) is proposed for air-conditioning loads (ACLs) to improve the voltage stability of power systems, by making use of the interruptible characteristics of the ACLs. On the top level, the control center determines the aggregated power and the voltage control thresholds of each node. At the bottom level, the aggregators of ACLs implement the control instructions from the control center by the output tracking control (OTC) for aggregated thermostatic loads. The ACLs are modeled as a thermostatically-controlled model for OTC by using a novel partial differential equation. A two-stage control strategy is designed, in terms of their priorities. When the system is at a rather low voltage situation, the emergency control is first performed by the shutdown operations for ACLs, and then the universal set-point temperature control strategy is applied for output tracking control, according to the voltage control thresholds. Case studies have been conducted on a 28-node power grid. The results show that the proposed model and strategy can effectively improve the system voltage stability |
| Type Of Material | Technology assay or reagent |
| Provided To Others? | No |
| Impact | Potentially used when considering air-conditioning loads in control of power system |
| Title | EV user optimum V2G control strategy in parking lot |
| Description | The whole area to be studied is divided into several sub-regions to be managed respectively. Aggregator unit is built between grid and electric vehicle. Here means station-level control system. The top-layer grid energy management system only controls station-level control system, so its control is more flexible. When electric vehicles in some region have problems, corresponding station-level control system can be cut off from grid to keep the whole grid safe. Basic load is not suited to V2G, because it's cheap, it needs continuous running and it makes EV discharge long time. Peak-load regulation, secondary frequency regulation and reserve service are suited to V2G, and these bring more benefit. First type service: slow charging+ secondary frequency regulation. It mainly applies to the area or parking lot where the total number of EV is low. Though there isn't enough capacitor to discharge long time, it can weaken grid load fluctuation caused by charging and discharging in a short time. Arriving time, leaving time, initial SOC of EV and leaving SOC of EV are required beforehand. The net earning of V2G users mainly includes: frquency modulation profit, energy profit and battery loss cost. And the corresponding power or energy multiplied by electrovalence is profit. Because frquency modulation power is uncertain in frquency modulation service, so battery loss cost is calcultaed based on typical working conditions, and charging and discharging are accounted for separately. Second type service: slow charging+secondary frequency regulation+peak-load regulation. The EV market is mature and EVs have enough idle energy to complete various kinds of services. Second type service is different from first type service, and it needs three services work at the same time. The constraint conditions between first type and second type service are nearly the same. First type service does not need peak-load regulation, so it does not allow EV to discharge to the grid proactively. While EV users are allowed to discharge to the grid proactively using the second type service. In addition, each EV is mutually independent and the solution of their optimal contract does not influence each other using first type service. All EVs are no longer independent because of peak-load regulation using second type service. A distribution method is obtained based on discharge priority which is "first come first served". All users can get most profit. |
| Type Of Material | Data handling & control |
| Provided To Others? | No |
| Impact | The control strategy can potentially been embedded in V2G system |
| Title | Point energy monitoring platform |
| Description | Measurements of whole-factory power consumption as well as individual machinery equipment is achieved by using a combination of current transformers, interfacing to existing meters and customised smart meters.The system has been field-tested in different industrial sectors including a local bakery company which is eager to know how much energy they use daily and more specifically, how much energy is consumed by each production line or even each machine. The two parts of the system can be considered as the Data Acquisition layer and the Data Analytics layer, bridged by an on-site base station. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | Dashboard is available for industrial partner to visualize live electrical data for a whole production line, gas data for hot water and steam. Research papers have been published in international journal and conferences. |
| URL | http://www.likang.org/?page_id=389 |
| Title | Spatiotemporal distributions prediction model of V2G load |
| Description | Spatiotemporal distributions of electric vehicle relies on traffic trip law. So spatiotemporal distributions of electric vehicle are predicted based on traffic attaction volume in the transportation planning and land utilization data combined with the properties of EV driving and parking This model is obtained based on the land-use situations in commercial, industrial and residential areas and the properties of EV parking. First of all, the researched area is divided into several sub-regions, and each sub-region is the smallest unit of space. Spatiotemporal distributions situations of parking demands are obtained based on traffic attaction volume combined with the model of traffic volume and parking demand. Spatiotemporal distributions model of parking demands is obtained based on the land-use situations in commercial, industrial and residential areas and the properties of EV parking. Finally model are calculated based on the properties of EV driving. The properties of EV driving in each area and V2G charging/discharging progress are simulated using Monte Carlo method. Spatiotemporal distributions prediction model of V2G load is obtained finally. The process of simulating V2G load prediction model using Monte Carlo method is showed in Fig. 2-2. 24 hours in one day are divied into 96 time intervals and the data are obtained in every 15 minutes. |
| Type Of Material | Computer model/algorithm |
| Provided To Others? | No |
| Impact | This model potentially help to determine optimal position for V2G installation. |
| Title | internal temperature model for Li-ion battery |
| Description | Firstly, a battery model that can predict the battery behaviour under different load profiles and temperature conditions is normally the starting point and foundation for the BMS design. Secondly, since the battery is a sealed compact object, its internal states are not directly measurable, such as the battery SOC, and internal temperature, which are the two dominant battery internal states affecting the battery performance and need to be estimated in real-time. Therefore, model-based battery internal state estimation methods are also proposed in this thesis using the Kalman filter method. Finally, based on the proposed battery model and internal state estimation methods, the battery temperature management system is studied, and different temperature controllers are optimized, and their performance compared, which can offer valuable guidance to the BTMS system design and real-time controller design |
| Type Of Material | Computer model/algorithm |
| Provided To Others? | No |
| Impact | The internal temperature is a better indicator of batter status than surface temperature. This model potentially lead to a better charging/discharging strategy and better protection for li-ion battery. |
| Description | Collaboration with ICT Germany and City University London on battery research |
| Organisation | City, University of London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Work with Fraunhofer Institute for Chemical Technology and City University London to develop a novel flow battery with advanced sensing technology. The contributions from my team include 1 PhD student working directly on the project, together with consumable costs incurred for developing the demonstrator. |
| Collaborator Contribution | The Fraunhofer Institute for Chemical Technology contributes the time of one staff and one research student working on the project, including building the demonstrator and attending meetings in person or via skype meetings, and host the visit of one research student from my research team. The City University London contributed materials to develop fiber sensors for the new battery demonstrator and 2 academic staff and 2 research students time to carry out development and testing. |
| Impact | A prototype flow battery with advanced sensing system. A research proposal has been drafted and submitted. |
| Start Year | 2016 |
| Description | Collaboration with ICT Germany and City University London on battery research |
| Organisation | Fraunhofer Society |
| Department | Fraunhofer Institute for Chemical Technology |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | Work with Fraunhofer Institute for Chemical Technology and City University London to develop a novel flow battery with advanced sensing technology. The contributions from my team include 1 PhD student working directly on the project, together with consumable costs incurred for developing the demonstrator. |
| Collaborator Contribution | The Fraunhofer Institute for Chemical Technology contributes the time of one staff and one research student working on the project, including building the demonstrator and attending meetings in person or via skype meetings, and host the visit of one research student from my research team. The City University London contributed materials to develop fiber sensors for the new battery demonstrator and 2 academic staff and 2 research students time to carry out development and testing. |
| Impact | A prototype flow battery with advanced sensing system. A research proposal has been drafted and submitted. |
| Start Year | 2016 |
| Description | Collaboration with Irwin's Bakery |
| Organisation | Irwin's Bakery |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Irwin's Bakery commits to providing a contribution 'in-kind' to the project in terms of engineering assistance. This support is £7500. The company have targeted a 10% reduction of energy costs and usage. Therefore Irwin's Bakery provides some funding towards purchases of equipment which will aid the monitoring of energy usage (electrical and gas) across the bakery operations. This funding is £1500. |
| Collaborator Contribution | Our research has led to the development of a series of universal low-cost interface devices that will allow the measurement of a very wide range of data and can be used to provide predictive fault analysis and advice on energy saving. Based on two previous EPSRC and one POC projects, this novel award winning energy and health monitoring system has been developed for polymer processing and can be directly applied to other manufacturing areas. The system monitors energy consumption at deep level through non-invasive sensing technology. No modification to the existing processes is required, providing a flexible and non-intrusive metering solution. The acquired data is sent wirelessly to a remote data server through the 3G/4G network and useful information is extracted. Users can also access their data and key information through a web browser. The main advantage of our system compared to other alternatives is that information at different granularity levels is collected and linked to energy consumption. This provides better insights into energy usage and leads to substantial opportunities to save energy for energy intensive manufacturing industrial sectors. In order to accelerate the impact, we have collaborated with Irwin's Bakery and have deployed the system in the production line, and collected data are fed back to the company, and the company is taking various measures suggested by the team to improve their energy efficiency. |
| Impact | The developed minimal invasive cloud-based energy monitoring system has been installed in Irwin's Bakery and up running for over a half year, and data collected are fed back to the companies, and insightful recommendations are given to the company to improve the energy efficiency which are currently under implementation by the company, The company has set a target to save energy 10%, and this system has paved the way to achieve its target. |
| Start Year | 2015 |
| Description | Collaboration with State Grid EPRI (Nari group) of China |
| Organisation | China Electric Power Research Institute (CEPRI) |
| Country | China |
| Sector | Public |
| PI Contribution | The State Grid EPRI China is the project partner of the iGIVE project, and we have collaborated on joint research publications, joint research proposals, staff and student exchanges, and site visits, etc, and joint establishment of the UK-China EPSRC-NSFC iGIVE project laboratory on electric vehicles and smart grid. |
| Collaborator Contribution | The State Grid EPRI China is the project partner of the iGIVE project, and we have collaborated on joint research publications, staff and student exchanges, joint research proposals, and site visits, etc, and joint establishment of the UK-China EPSRC-NSFC iGIVE project laboratory on electric vehicles and smart grid. |
| Impact | 1. UK-China EPSRC-NSFC iGIVE project laboratory on electric vehicles and smart grid - http://igive.wikidot.com/platform. The research work from the project led by Prof Xue of the State Grid has been embedded into the products and services provided by Nari group (http://www.naritech.cn/en/), . 2. Joint research proposal - State estimation and networked approximate-optimal coordinated control of active distribution network based on both data and mechanism analysis, CNY 3.2 Million, 2015, Grant # 61533010, National Science Foundation of China (Grant No. 61533010), 2016.1-2020.12. 3. Over 19 joint research publications, examples include: 1) Yuanjun Guo, Kang Li, David Laverty, Yusheng Xue, 'Synchrophasor-Based Islanding Detection for Distributed Generation Systems Using Systematic Principal Component Analysis Approaches'. IEEE Transactions on Power Delivery, Vol. 30, No. 6, pp. 2544-2552, 2015. 2) Zhile Yang, Kang Li, Qun Niu, Yusheng Xue. 'A comprehensive study of economic unit commitment of power systems integrating various renewable generations and plug-in electric vehicles', Energy Conversion and Management, Vol. 132, 460-481, 2017. 3) Yusheng Xue, Chen Yu, Kang Li, Fushan Wen, Yi Ding, Qiuwei Wu, Guangya Yang. 'Adaptive Ultra-short-term Wind Power Prediction Based on Risk Assessment'. CSEE Journal of Power and Energy Systems, Vol. 2, No. 3, pp: 59 - 64, 2016. 4) Yusheng Xue, Juai Wu, Dongliang Xie, Kang Li, Yu Zhang, Fushuan Wen, Bin Cai, Qiuwei Wu, Guangya Yang, 'Multi-agents Modelling of EV Purchase Behaviours Based on Questionnaires', Journal of Modern Power Systems and Clean Energy, Vol. 3, No. 2, pp. 149-159. 2015. DOI 10.1007/s40565-015-0112-4. 5).Zhile Yang, Kang Li, Qun Niu, Yusheng Xue, Aoife Foley, 'A self-learning TLBO based Dynamic Economic/Environmenta; dispatch considering multiple plug-in electric vehicle loads', Journal of Modern Power Systems and Clean Energy, DOI 10.1007/s40565-014-0087-6, Vol. 2, No. 4, pp: 298-307, 2014. Several award winning papers: 1. Third Prize, Top 100 papers published in Journals of Chinese Society for Electrical Engineers, for paper 'A self-learning TLBO based Dynamic Economic/Environment dispatch considering multiple plug-in electric vehicle loads' by Zhile Yang, Kang Li, Qun Niu, Yusheng Xue, Aoife Foley, published in the Journal, Vol. 2, No. 4, pp: 298-307, 2014. 2018. 2. Most Cited Paper Award, Automation of Electric Power Systems, for paper 'A review on short-term and ulstra-short-term wind power prediction' by Yusheng Xue, Chen Yu, Junhua Zhao, Kang Li Xueqin Liu, Qiuwei Wu, and Guanya Yang, published in the Journal, Vol. 39, No. 6, pp: 141-151, 2015, award was given in 2017. 3. Most Cited Paper Award, Journal of Modern Power Systems and Clean Energy, for paper 'A self-learning TLBO based Dynamic Economic/Environment dispatch considering multiple plug-in electric vehicle loads' by Zhile Yang, Kang Li, Qun Niu, Yusheng Xue, Aoife Foley, published in the Journal, Vol. 2, No. 4, pp: 298-307, 2014, at IEEE PES General Meeting, Chicago, 2017. |
| Start Year | 2013 |
| Description | Collaboration with Wrightbus on battery testing |
| Organisation | Wrights Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The research team at QUB helped Wrightbus group to test their lead-acid battery used in their manufactured buses. |
| Collaborator Contribution | Project meetings, data for analysis, and battery for testing, support one PhD studentship to investigate battery characterization and management for the company. |
| Impact | QUB team has provided some suggestions to wrightbus on selecting a proper type of battery and on change/discharing strategy to prolong battery life. The Wrightbus has thus provided a full PhD studentship to further explore the new battery technology for the micro-hybrid bus through the QUB-Wrightbus William Wright Technology Centre. |
| Start Year | 2015 |
| Description | Partnership with Beijing Jiaotong University |
| Organisation | Beijing Jiaotong University |
| Country | China |
| Sector | Academic/University |
| PI Contribution | Contributions include academic visits to Beijing Jiaotong University, and giving several research seminars, and discussions on research collaborations with different Schools on energy and transportation research, and meeting university senior leaders to discuss strategic collaborations. |
| Collaborator Contribution | Teams from Beijing Jiaotong have organised several collaborative events including a joint international conference on energy held in 2019 and visit of a senior delegation from Beijing Jiaotong University to the University of Leeds. |
| Impact | This collaboration has led to more concrete planning of joint research proposals, papers and conferences, and the State Key Lab of Rail Traffic Control and Safety Open Topics Fund (Beijing Jiaotong University) has put a funding in place to support academic and student exchanges between the two universities on railway researches. |
| Start Year | 2019 |
| Description | Partnership with Highways England on Electric Road System Research |
| Organisation | Department of Transport |
| Department | Highways Agency |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | My research is conducting a comprehensive review and analysis of both maintenance and safety challenges of the three electric road systems (ERS) such that the solution of choice has the most likely cost-effective features in developing an overarching maintenance strategy to ensure ERS operations achieve the transport policy goals set by the government. |
| Collaborator Contribution | Highways England provides a range of supports to the university team to conduct the researchNo. |
| Impact | Two technical reports produced so far. |
| Start Year | 2020 |
| Description | Partnership with Network Rail/ScotRail on railway decarbonization |
| Organisation | ScotRail Railways Limited |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The Leeds team has worked with Network Rail/ScotRail, and in partnership with SPT and Ricardo to investigate the development of multi-energy hubs for, potentially, around 2,500 stations across UK, improving efficiency while offering greater flexibility to support both rail and grid operation. Leeds team led the development of proposal, and in the project, Leeds team leads the feasiblity study. |
| Collaborator Contribution | Network Rail/ScotRail supports the applicaton and provide railway station data for analysis. |
| Impact | The collaboration is ongoing and has led to the success of the project application. |
| Start Year | 2022 |
| Description | Partnership with Ricardo on railway decarbonization |
| Organisation | Ricardo UK Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Leeds supports Ricardo on an Ofgem SIF project to investigate A Holistic Hydrogen Approach to Heavy Duty Transport (H2H). This focuses on the energy used by trains in Scotland. The rail sector in Scotland aims to remove diesel-fuelled trains by 2035. Full electrification is the main solution, but there is associated high cost and high emissions for the concrete, steel and copper used. Disruption to passenger services during construction is another factor to be considered. H2H will examine hydrogen and battery trains and compare these with full electrification. The University of Leeds team worked with Ricardo on the project application, and in the project Leeds supports on reviewing different technologies to remove diesel fuelled trains. |
| Collaborator Contribution | Ricardo led the preparation In the Ofgem SIF project to investigate A Holistic Hydrogen Approach to Heavy Duty Transport (H2H), Ricardo leads the investigation to examine hydrogen and battery trains and compare these with full electrification. |
| Impact | The collaboration has led to the successful application of a Ofgem SIF project - A Holistic Hydrogen Approach to Heavy Duty Transport (H2H). |
| Start Year | 2022 |
| Description | Partnership with SP Energy Networks on energy research |
| Organisation | Scottish Power Ltd |
| Department | Scottish Power Energy Networks |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Contributions including organization of technical meetings with SP Energy Networks, detailed technical discussions and preparation of a research proposal. |
| Collaborator Contribution | SP Energy Networks has contributed significantly to the technical discussions, sharing their insigts on industrial needs. |
| Impact | Studentship has been provided by SP Energy Networks to explore advanced monitoring techniques for transmission and distribution networks given significant penetration of distributed renewable power and future mass roll-out of electric vehicles. |
| Start Year | 2019 |
| Description | UK Consortium for the collaboration with Chinese Excellence League (E9) Group of Universities |
| Organisation | Beijing Institute of Technology |
| Country | China |
| Sector | Academic/University |
| PI Contribution | UK-China University Consortium on Engineering Education and Research is the first university consortium co-established by UK and China specializing in engineering education and research. The partnership was set up following a prestigious award by BEIS and administrated by the British Council, which is aimed at building higher education links and helping to improve the quality of engineering research and teaching in China. The consortium is the first of its kind to partner leading UK universities with the top nine engineering research institutions in China. It will be led by Queen's University Belfast, and includes the University of Birmingham, Cardiff University, University College London, The University of Nottingham and The University of Warwick. The secretariat is at Queen's University Belfast. The Chinese universities include Southeast University, Beijing Institute of Technology, Chongqing University, Dalian University of Technology, Harbin Institute of Technology, Northwestern Polytechnical University, South China University of Technology, Tianjin University, and Tongji University. The secretariat is located in Southeast University. During a delegation to Shanghai by Jo Johnson MP in September, the Department of Business, Energy & Industrial Strategy agreed to fund the significant £200,000 award through the British Council with second year follow-on funding of another £200,000.The funding will enable the successful universities to work closely with the top nine engineering institutions in China, which will allow the UK universities to create a critical mass on a cluster of key engineering areas, such as energy and advanced manufacturing, and will help maintain the UK's global standing in light of increasing international competition. It will also allow China to make the transition from a big manufacturer to a manufacturing industry superpower. QUB is the secretariat institution, hosting management team for the consortium, and support all activities on engineering research and collaboration with E9 partner institutions in China, and in addition Queen's University invests £80,000 to support research student and staff mobility to these partner universities in China. |
| Collaborator Contribution | All UK and Chinese partner universities contribute significantly to staff and research student mobility among partner universities in the UK and China University Consortium, organise and host research seminars, and carry out joint research projects. One of the activities is to establish the future Engineers' Leadership and Innovation Academy, which was developed through the UK-China University Consortium on Engineering Education and Research (UK-China UCEER) and aims to build UK-China teams to support both countries manufacturing ambitions. The academy received the first batch of 26 PhD students from across the Consortium, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy is hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. |
| Impact | UK-China University Consortium on Engineering Education and Research was established in May 2017, the first of its kind between UK and China. The consortium brings together 18 leading universities from UK and China to tackle the global challenges in sustainable energy and intelligent manufacturing, as one of the two education statements signed at the UK-China high-level people-to-people dialogue held in London in December 2017. The future Engineers' Leadership and Innovation Academy has been established with the first batch of 26 PhD students from across the Consortium met in Beijing in Nov 2017, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy was hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. The second batch of students attended the Academy in Nov 2018, which began with the President's Forum of the UK-China Consortium on Engineering Education and Research, which brought together Vice-Chancellors and representatives of all the partner universities, and the British Council. The Forum shared ideas on international research and innovation between UK and Chinese universities, as well as collaboration between universities and industry. After the Forum, the students undertook a mini-MBA, delivered by the William J Clinton Leadership Institute from Queen's University Belfast. The course covered finance essentials, marketing strategies, to leading teams, cumulating with a presentation on consultancy task - where groups competed throughout the week. On the following week, they had seminars on design and innovation, as well as a crash course in machine learning and neural networks, run by academics from Southeast University and researchers from Huawei. Throughout this exchange, the group went on several site visits, from industrial parks, research centres, and Huawei's headquarters in Nanjing. Over the weekends, students visited various cultural and historic sites of significance (from the city walls, the Nanjing Museum, Confucius Temple, and the Presidential Palace, as well as country walks). The Academy was a thoroughly insightful experience for both the UK and Chinese students - from viewpoints on engineering education and research, to sharing and learning about each other's culture. Further, a UK-China Knowledge Exploitation Forum was launched in September 2018 in Chongqing, which brought together leading figures from the government, academia and industry to discuss the impact of policy, the role of incubators and catapults, and work out how the consortium can develop mechanisms to facilitate UK-China knowledge transfer collaborations. |
| Start Year | 2017 |
| Description | UK Consortium for the collaboration with Chinese Excellence League (E9) Group of Universities |
| Organisation | Cardiff University |
| Department | School of Engineering |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | UK-China University Consortium on Engineering Education and Research is the first university consortium co-established by UK and China specializing in engineering education and research. The partnership was set up following a prestigious award by BEIS and administrated by the British Council, which is aimed at building higher education links and helping to improve the quality of engineering research and teaching in China. The consortium is the first of its kind to partner leading UK universities with the top nine engineering research institutions in China. It will be led by Queen's University Belfast, and includes the University of Birmingham, Cardiff University, University College London, The University of Nottingham and The University of Warwick. The secretariat is at Queen's University Belfast. The Chinese universities include Southeast University, Beijing Institute of Technology, Chongqing University, Dalian University of Technology, Harbin Institute of Technology, Northwestern Polytechnical University, South China University of Technology, Tianjin University, and Tongji University. The secretariat is located in Southeast University. During a delegation to Shanghai by Jo Johnson MP in September, the Department of Business, Energy & Industrial Strategy agreed to fund the significant £200,000 award through the British Council with second year follow-on funding of another £200,000.The funding will enable the successful universities to work closely with the top nine engineering institutions in China, which will allow the UK universities to create a critical mass on a cluster of key engineering areas, such as energy and advanced manufacturing, and will help maintain the UK's global standing in light of increasing international competition. It will also allow China to make the transition from a big manufacturer to a manufacturing industry superpower. QUB is the secretariat institution, hosting management team for the consortium, and support all activities on engineering research and collaboration with E9 partner institutions in China, and in addition Queen's University invests £80,000 to support research student and staff mobility to these partner universities in China. |
| Collaborator Contribution | All UK and Chinese partner universities contribute significantly to staff and research student mobility among partner universities in the UK and China University Consortium, organise and host research seminars, and carry out joint research projects. One of the activities is to establish the future Engineers' Leadership and Innovation Academy, which was developed through the UK-China University Consortium on Engineering Education and Research (UK-China UCEER) and aims to build UK-China teams to support both countries manufacturing ambitions. The academy received the first batch of 26 PhD students from across the Consortium, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy is hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. |
| Impact | UK-China University Consortium on Engineering Education and Research was established in May 2017, the first of its kind between UK and China. The consortium brings together 18 leading universities from UK and China to tackle the global challenges in sustainable energy and intelligent manufacturing, as one of the two education statements signed at the UK-China high-level people-to-people dialogue held in London in December 2017. The future Engineers' Leadership and Innovation Academy has been established with the first batch of 26 PhD students from across the Consortium met in Beijing in Nov 2017, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy was hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. The second batch of students attended the Academy in Nov 2018, which began with the President's Forum of the UK-China Consortium on Engineering Education and Research, which brought together Vice-Chancellors and representatives of all the partner universities, and the British Council. The Forum shared ideas on international research and innovation between UK and Chinese universities, as well as collaboration between universities and industry. After the Forum, the students undertook a mini-MBA, delivered by the William J Clinton Leadership Institute from Queen's University Belfast. The course covered finance essentials, marketing strategies, to leading teams, cumulating with a presentation on consultancy task - where groups competed throughout the week. On the following week, they had seminars on design and innovation, as well as a crash course in machine learning and neural networks, run by academics from Southeast University and researchers from Huawei. Throughout this exchange, the group went on several site visits, from industrial parks, research centres, and Huawei's headquarters in Nanjing. Over the weekends, students visited various cultural and historic sites of significance (from the city walls, the Nanjing Museum, Confucius Temple, and the Presidential Palace, as well as country walks). The Academy was a thoroughly insightful experience for both the UK and Chinese students - from viewpoints on engineering education and research, to sharing and learning about each other's culture. Further, a UK-China Knowledge Exploitation Forum was launched in September 2018 in Chongqing, which brought together leading figures from the government, academia and industry to discuss the impact of policy, the role of incubators and catapults, and work out how the consortium can develop mechanisms to facilitate UK-China knowledge transfer collaborations. |
| Start Year | 2017 |
| Description | UK Consortium for the collaboration with Chinese Excellence League (E9) Group of Universities |
| Organisation | Chongqing University |
| Country | China |
| Sector | Academic/University |
| PI Contribution | UK-China University Consortium on Engineering Education and Research is the first university consortium co-established by UK and China specializing in engineering education and research. The partnership was set up following a prestigious award by BEIS and administrated by the British Council, which is aimed at building higher education links and helping to improve the quality of engineering research and teaching in China. The consortium is the first of its kind to partner leading UK universities with the top nine engineering research institutions in China. It will be led by Queen's University Belfast, and includes the University of Birmingham, Cardiff University, University College London, The University of Nottingham and The University of Warwick. The secretariat is at Queen's University Belfast. The Chinese universities include Southeast University, Beijing Institute of Technology, Chongqing University, Dalian University of Technology, Harbin Institute of Technology, Northwestern Polytechnical University, South China University of Technology, Tianjin University, and Tongji University. The secretariat is located in Southeast University. During a delegation to Shanghai by Jo Johnson MP in September, the Department of Business, Energy & Industrial Strategy agreed to fund the significant £200,000 award through the British Council with second year follow-on funding of another £200,000.The funding will enable the successful universities to work closely with the top nine engineering institutions in China, which will allow the UK universities to create a critical mass on a cluster of key engineering areas, such as energy and advanced manufacturing, and will help maintain the UK's global standing in light of increasing international competition. It will also allow China to make the transition from a big manufacturer to a manufacturing industry superpower. QUB is the secretariat institution, hosting management team for the consortium, and support all activities on engineering research and collaboration with E9 partner institutions in China, and in addition Queen's University invests £80,000 to support research student and staff mobility to these partner universities in China. |
| Collaborator Contribution | All UK and Chinese partner universities contribute significantly to staff and research student mobility among partner universities in the UK and China University Consortium, organise and host research seminars, and carry out joint research projects. One of the activities is to establish the future Engineers' Leadership and Innovation Academy, which was developed through the UK-China University Consortium on Engineering Education and Research (UK-China UCEER) and aims to build UK-China teams to support both countries manufacturing ambitions. The academy received the first batch of 26 PhD students from across the Consortium, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy is hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. |
| Impact | UK-China University Consortium on Engineering Education and Research was established in May 2017, the first of its kind between UK and China. The consortium brings together 18 leading universities from UK and China to tackle the global challenges in sustainable energy and intelligent manufacturing, as one of the two education statements signed at the UK-China high-level people-to-people dialogue held in London in December 2017. The future Engineers' Leadership and Innovation Academy has been established with the first batch of 26 PhD students from across the Consortium met in Beijing in Nov 2017, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy was hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. The second batch of students attended the Academy in Nov 2018, which began with the President's Forum of the UK-China Consortium on Engineering Education and Research, which brought together Vice-Chancellors and representatives of all the partner universities, and the British Council. The Forum shared ideas on international research and innovation between UK and Chinese universities, as well as collaboration between universities and industry. After the Forum, the students undertook a mini-MBA, delivered by the William J Clinton Leadership Institute from Queen's University Belfast. The course covered finance essentials, marketing strategies, to leading teams, cumulating with a presentation on consultancy task - where groups competed throughout the week. On the following week, they had seminars on design and innovation, as well as a crash course in machine learning and neural networks, run by academics from Southeast University and researchers from Huawei. Throughout this exchange, the group went on several site visits, from industrial parks, research centres, and Huawei's headquarters in Nanjing. Over the weekends, students visited various cultural and historic sites of significance (from the city walls, the Nanjing Museum, Confucius Temple, and the Presidential Palace, as well as country walks). The Academy was a thoroughly insightful experience for both the UK and Chinese students - from viewpoints on engineering education and research, to sharing and learning about each other's culture. Further, a UK-China Knowledge Exploitation Forum was launched in September 2018 in Chongqing, which brought together leading figures from the government, academia and industry to discuss the impact of policy, the role of incubators and catapults, and work out how the consortium can develop mechanisms to facilitate UK-China knowledge transfer collaborations. |
| Start Year | 2017 |
| Description | UK Consortium for the collaboration with Chinese Excellence League (E9) Group of Universities |
| Organisation | Dalian University of Technology |
| Country | China |
| Sector | Academic/University |
| PI Contribution | UK-China University Consortium on Engineering Education and Research is the first university consortium co-established by UK and China specializing in engineering education and research. The partnership was set up following a prestigious award by BEIS and administrated by the British Council, which is aimed at building higher education links and helping to improve the quality of engineering research and teaching in China. The consortium is the first of its kind to partner leading UK universities with the top nine engineering research institutions in China. It will be led by Queen's University Belfast, and includes the University of Birmingham, Cardiff University, University College London, The University of Nottingham and The University of Warwick. The secretariat is at Queen's University Belfast. The Chinese universities include Southeast University, Beijing Institute of Technology, Chongqing University, Dalian University of Technology, Harbin Institute of Technology, Northwestern Polytechnical University, South China University of Technology, Tianjin University, and Tongji University. The secretariat is located in Southeast University. During a delegation to Shanghai by Jo Johnson MP in September, the Department of Business, Energy & Industrial Strategy agreed to fund the significant £200,000 award through the British Council with second year follow-on funding of another £200,000.The funding will enable the successful universities to work closely with the top nine engineering institutions in China, which will allow the UK universities to create a critical mass on a cluster of key engineering areas, such as energy and advanced manufacturing, and will help maintain the UK's global standing in light of increasing international competition. It will also allow China to make the transition from a big manufacturer to a manufacturing industry superpower. QUB is the secretariat institution, hosting management team for the consortium, and support all activities on engineering research and collaboration with E9 partner institutions in China, and in addition Queen's University invests £80,000 to support research student and staff mobility to these partner universities in China. |
| Collaborator Contribution | All UK and Chinese partner universities contribute significantly to staff and research student mobility among partner universities in the UK and China University Consortium, organise and host research seminars, and carry out joint research projects. One of the activities is to establish the future Engineers' Leadership and Innovation Academy, which was developed through the UK-China University Consortium on Engineering Education and Research (UK-China UCEER) and aims to build UK-China teams to support both countries manufacturing ambitions. The academy received the first batch of 26 PhD students from across the Consortium, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy is hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. |
| Impact | UK-China University Consortium on Engineering Education and Research was established in May 2017, the first of its kind between UK and China. The consortium brings together 18 leading universities from UK and China to tackle the global challenges in sustainable energy and intelligent manufacturing, as one of the two education statements signed at the UK-China high-level people-to-people dialogue held in London in December 2017. The future Engineers' Leadership and Innovation Academy has been established with the first batch of 26 PhD students from across the Consortium met in Beijing in Nov 2017, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy was hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. The second batch of students attended the Academy in Nov 2018, which began with the President's Forum of the UK-China Consortium on Engineering Education and Research, which brought together Vice-Chancellors and representatives of all the partner universities, and the British Council. The Forum shared ideas on international research and innovation between UK and Chinese universities, as well as collaboration between universities and industry. After the Forum, the students undertook a mini-MBA, delivered by the William J Clinton Leadership Institute from Queen's University Belfast. The course covered finance essentials, marketing strategies, to leading teams, cumulating with a presentation on consultancy task - where groups competed throughout the week. On the following week, they had seminars on design and innovation, as well as a crash course in machine learning and neural networks, run by academics from Southeast University and researchers from Huawei. Throughout this exchange, the group went on several site visits, from industrial parks, research centres, and Huawei's headquarters in Nanjing. Over the weekends, students visited various cultural and historic sites of significance (from the city walls, the Nanjing Museum, Confucius Temple, and the Presidential Palace, as well as country walks). The Academy was a thoroughly insightful experience for both the UK and Chinese students - from viewpoints on engineering education and research, to sharing and learning about each other's culture. Further, a UK-China Knowledge Exploitation Forum was launched in September 2018 in Chongqing, which brought together leading figures from the government, academia and industry to discuss the impact of policy, the role of incubators and catapults, and work out how the consortium can develop mechanisms to facilitate UK-China knowledge transfer collaborations. |
| Start Year | 2017 |
| Description | UK Consortium for the collaboration with Chinese Excellence League (E9) Group of Universities |
| Organisation | Harbin Institute of Technology |
| Country | China |
| Sector | Academic/University |
| PI Contribution | UK-China University Consortium on Engineering Education and Research is the first university consortium co-established by UK and China specializing in engineering education and research. The partnership was set up following a prestigious award by BEIS and administrated by the British Council, which is aimed at building higher education links and helping to improve the quality of engineering research and teaching in China. The consortium is the first of its kind to partner leading UK universities with the top nine engineering research institutions in China. It will be led by Queen's University Belfast, and includes the University of Birmingham, Cardiff University, University College London, The University of Nottingham and The University of Warwick. The secretariat is at Queen's University Belfast. The Chinese universities include Southeast University, Beijing Institute of Technology, Chongqing University, Dalian University of Technology, Harbin Institute of Technology, Northwestern Polytechnical University, South China University of Technology, Tianjin University, and Tongji University. The secretariat is located in Southeast University. During a delegation to Shanghai by Jo Johnson MP in September, the Department of Business, Energy & Industrial Strategy agreed to fund the significant £200,000 award through the British Council with second year follow-on funding of another £200,000.The funding will enable the successful universities to work closely with the top nine engineering institutions in China, which will allow the UK universities to create a critical mass on a cluster of key engineering areas, such as energy and advanced manufacturing, and will help maintain the UK's global standing in light of increasing international competition. It will also allow China to make the transition from a big manufacturer to a manufacturing industry superpower. QUB is the secretariat institution, hosting management team for the consortium, and support all activities on engineering research and collaboration with E9 partner institutions in China, and in addition Queen's University invests £80,000 to support research student and staff mobility to these partner universities in China. |
| Collaborator Contribution | All UK and Chinese partner universities contribute significantly to staff and research student mobility among partner universities in the UK and China University Consortium, organise and host research seminars, and carry out joint research projects. One of the activities is to establish the future Engineers' Leadership and Innovation Academy, which was developed through the UK-China University Consortium on Engineering Education and Research (UK-China UCEER) and aims to build UK-China teams to support both countries manufacturing ambitions. The academy received the first batch of 26 PhD students from across the Consortium, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy is hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. |
| Impact | UK-China University Consortium on Engineering Education and Research was established in May 2017, the first of its kind between UK and China. The consortium brings together 18 leading universities from UK and China to tackle the global challenges in sustainable energy and intelligent manufacturing, as one of the two education statements signed at the UK-China high-level people-to-people dialogue held in London in December 2017. The future Engineers' Leadership and Innovation Academy has been established with the first batch of 26 PhD students from across the Consortium met in Beijing in Nov 2017, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy was hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. The second batch of students attended the Academy in Nov 2018, which began with the President's Forum of the UK-China Consortium on Engineering Education and Research, which brought together Vice-Chancellors and representatives of all the partner universities, and the British Council. The Forum shared ideas on international research and innovation between UK and Chinese universities, as well as collaboration between universities and industry. After the Forum, the students undertook a mini-MBA, delivered by the William J Clinton Leadership Institute from Queen's University Belfast. The course covered finance essentials, marketing strategies, to leading teams, cumulating with a presentation on consultancy task - where groups competed throughout the week. On the following week, they had seminars on design and innovation, as well as a crash course in machine learning and neural networks, run by academics from Southeast University and researchers from Huawei. Throughout this exchange, the group went on several site visits, from industrial parks, research centres, and Huawei's headquarters in Nanjing. Over the weekends, students visited various cultural and historic sites of significance (from the city walls, the Nanjing Museum, Confucius Temple, and the Presidential Palace, as well as country walks). The Academy was a thoroughly insightful experience for both the UK and Chinese students - from viewpoints on engineering education and research, to sharing and learning about each other's culture. Further, a UK-China Knowledge Exploitation Forum was launched in September 2018 in Chongqing, which brought together leading figures from the government, academia and industry to discuss the impact of policy, the role of incubators and catapults, and work out how the consortium can develop mechanisms to facilitate UK-China knowledge transfer collaborations. |
| Start Year | 2017 |
| Description | UK Consortium for the collaboration with Chinese Excellence League (E9) Group of Universities |
| Organisation | Northwestern Polytechnical University |
| Country | China |
| Sector | Academic/University |
| PI Contribution | UK-China University Consortium on Engineering Education and Research is the first university consortium co-established by UK and China specializing in engineering education and research. The partnership was set up following a prestigious award by BEIS and administrated by the British Council, which is aimed at building higher education links and helping to improve the quality of engineering research and teaching in China. The consortium is the first of its kind to partner leading UK universities with the top nine engineering research institutions in China. It will be led by Queen's University Belfast, and includes the University of Birmingham, Cardiff University, University College London, The University of Nottingham and The University of Warwick. The secretariat is at Queen's University Belfast. The Chinese universities include Southeast University, Beijing Institute of Technology, Chongqing University, Dalian University of Technology, Harbin Institute of Technology, Northwestern Polytechnical University, South China University of Technology, Tianjin University, and Tongji University. The secretariat is located in Southeast University. During a delegation to Shanghai by Jo Johnson MP in September, the Department of Business, Energy & Industrial Strategy agreed to fund the significant £200,000 award through the British Council with second year follow-on funding of another £200,000.The funding will enable the successful universities to work closely with the top nine engineering institutions in China, which will allow the UK universities to create a critical mass on a cluster of key engineering areas, such as energy and advanced manufacturing, and will help maintain the UK's global standing in light of increasing international competition. It will also allow China to make the transition from a big manufacturer to a manufacturing industry superpower. QUB is the secretariat institution, hosting management team for the consortium, and support all activities on engineering research and collaboration with E9 partner institutions in China, and in addition Queen's University invests £80,000 to support research student and staff mobility to these partner universities in China. |
| Collaborator Contribution | All UK and Chinese partner universities contribute significantly to staff and research student mobility among partner universities in the UK and China University Consortium, organise and host research seminars, and carry out joint research projects. One of the activities is to establish the future Engineers' Leadership and Innovation Academy, which was developed through the UK-China University Consortium on Engineering Education and Research (UK-China UCEER) and aims to build UK-China teams to support both countries manufacturing ambitions. The academy received the first batch of 26 PhD students from across the Consortium, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy is hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. |
| Impact | UK-China University Consortium on Engineering Education and Research was established in May 2017, the first of its kind between UK and China. The consortium brings together 18 leading universities from UK and China to tackle the global challenges in sustainable energy and intelligent manufacturing, as one of the two education statements signed at the UK-China high-level people-to-people dialogue held in London in December 2017. The future Engineers' Leadership and Innovation Academy has been established with the first batch of 26 PhD students from across the Consortium met in Beijing in Nov 2017, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy was hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. The second batch of students attended the Academy in Nov 2018, which began with the President's Forum of the UK-China Consortium on Engineering Education and Research, which brought together Vice-Chancellors and representatives of all the partner universities, and the British Council. The Forum shared ideas on international research and innovation between UK and Chinese universities, as well as collaboration between universities and industry. After the Forum, the students undertook a mini-MBA, delivered by the William J Clinton Leadership Institute from Queen's University Belfast. The course covered finance essentials, marketing strategies, to leading teams, cumulating with a presentation on consultancy task - where groups competed throughout the week. On the following week, they had seminars on design and innovation, as well as a crash course in machine learning and neural networks, run by academics from Southeast University and researchers from Huawei. Throughout this exchange, the group went on several site visits, from industrial parks, research centres, and Huawei's headquarters in Nanjing. Over the weekends, students visited various cultural and historic sites of significance (from the city walls, the Nanjing Museum, Confucius Temple, and the Presidential Palace, as well as country walks). The Academy was a thoroughly insightful experience for both the UK and Chinese students - from viewpoints on engineering education and research, to sharing and learning about each other's culture. Further, a UK-China Knowledge Exploitation Forum was launched in September 2018 in Chongqing, which brought together leading figures from the government, academia and industry to discuss the impact of policy, the role of incubators and catapults, and work out how the consortium can develop mechanisms to facilitate UK-China knowledge transfer collaborations. |
| Start Year | 2017 |
| Description | UK Consortium for the collaboration with Chinese Excellence League (E9) Group of Universities |
| Organisation | South China University of Technology |
| Country | China |
| Sector | Academic/University |
| PI Contribution | UK-China University Consortium on Engineering Education and Research is the first university consortium co-established by UK and China specializing in engineering education and research. The partnership was set up following a prestigious award by BEIS and administrated by the British Council, which is aimed at building higher education links and helping to improve the quality of engineering research and teaching in China. The consortium is the first of its kind to partner leading UK universities with the top nine engineering research institutions in China. It will be led by Queen's University Belfast, and includes the University of Birmingham, Cardiff University, University College London, The University of Nottingham and The University of Warwick. The secretariat is at Queen's University Belfast. The Chinese universities include Southeast University, Beijing Institute of Technology, Chongqing University, Dalian University of Technology, Harbin Institute of Technology, Northwestern Polytechnical University, South China University of Technology, Tianjin University, and Tongji University. The secretariat is located in Southeast University. During a delegation to Shanghai by Jo Johnson MP in September, the Department of Business, Energy & Industrial Strategy agreed to fund the significant £200,000 award through the British Council with second year follow-on funding of another £200,000.The funding will enable the successful universities to work closely with the top nine engineering institutions in China, which will allow the UK universities to create a critical mass on a cluster of key engineering areas, such as energy and advanced manufacturing, and will help maintain the UK's global standing in light of increasing international competition. It will also allow China to make the transition from a big manufacturer to a manufacturing industry superpower. QUB is the secretariat institution, hosting management team for the consortium, and support all activities on engineering research and collaboration with E9 partner institutions in China, and in addition Queen's University invests £80,000 to support research student and staff mobility to these partner universities in China. |
| Collaborator Contribution | All UK and Chinese partner universities contribute significantly to staff and research student mobility among partner universities in the UK and China University Consortium, organise and host research seminars, and carry out joint research projects. One of the activities is to establish the future Engineers' Leadership and Innovation Academy, which was developed through the UK-China University Consortium on Engineering Education and Research (UK-China UCEER) and aims to build UK-China teams to support both countries manufacturing ambitions. The academy received the first batch of 26 PhD students from across the Consortium, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy is hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. |
| Impact | UK-China University Consortium on Engineering Education and Research was established in May 2017, the first of its kind between UK and China. The consortium brings together 18 leading universities from UK and China to tackle the global challenges in sustainable energy and intelligent manufacturing, as one of the two education statements signed at the UK-China high-level people-to-people dialogue held in London in December 2017. The future Engineers' Leadership and Innovation Academy has been established with the first batch of 26 PhD students from across the Consortium met in Beijing in Nov 2017, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy was hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. The second batch of students attended the Academy in Nov 2018, which began with the President's Forum of the UK-China Consortium on Engineering Education and Research, which brought together Vice-Chancellors and representatives of all the partner universities, and the British Council. The Forum shared ideas on international research and innovation between UK and Chinese universities, as well as collaboration between universities and industry. After the Forum, the students undertook a mini-MBA, delivered by the William J Clinton Leadership Institute from Queen's University Belfast. The course covered finance essentials, marketing strategies, to leading teams, cumulating with a presentation on consultancy task - where groups competed throughout the week. On the following week, they had seminars on design and innovation, as well as a crash course in machine learning and neural networks, run by academics from Southeast University and researchers from Huawei. Throughout this exchange, the group went on several site visits, from industrial parks, research centres, and Huawei's headquarters in Nanjing. Over the weekends, students visited various cultural and historic sites of significance (from the city walls, the Nanjing Museum, Confucius Temple, and the Presidential Palace, as well as country walks). The Academy was a thoroughly insightful experience for both the UK and Chinese students - from viewpoints on engineering education and research, to sharing and learning about each other's culture. Further, a UK-China Knowledge Exploitation Forum was launched in September 2018 in Chongqing, which brought together leading figures from the government, academia and industry to discuss the impact of policy, the role of incubators and catapults, and work out how the consortium can develop mechanisms to facilitate UK-China knowledge transfer collaborations. |
| Start Year | 2017 |
| Description | UK Consortium for the collaboration with Chinese Excellence League (E9) Group of Universities |
| Organisation | Southeast University China |
| Country | China |
| Sector | Academic/University |
| PI Contribution | UK-China University Consortium on Engineering Education and Research is the first university consortium co-established by UK and China specializing in engineering education and research. The partnership was set up following a prestigious award by BEIS and administrated by the British Council, which is aimed at building higher education links and helping to improve the quality of engineering research and teaching in China. The consortium is the first of its kind to partner leading UK universities with the top nine engineering research institutions in China. It will be led by Queen's University Belfast, and includes the University of Birmingham, Cardiff University, University College London, The University of Nottingham and The University of Warwick. The secretariat is at Queen's University Belfast. The Chinese universities include Southeast University, Beijing Institute of Technology, Chongqing University, Dalian University of Technology, Harbin Institute of Technology, Northwestern Polytechnical University, South China University of Technology, Tianjin University, and Tongji University. The secretariat is located in Southeast University. During a delegation to Shanghai by Jo Johnson MP in September, the Department of Business, Energy & Industrial Strategy agreed to fund the significant £200,000 award through the British Council with second year follow-on funding of another £200,000.The funding will enable the successful universities to work closely with the top nine engineering institutions in China, which will allow the UK universities to create a critical mass on a cluster of key engineering areas, such as energy and advanced manufacturing, and will help maintain the UK's global standing in light of increasing international competition. It will also allow China to make the transition from a big manufacturer to a manufacturing industry superpower. QUB is the secretariat institution, hosting management team for the consortium, and support all activities on engineering research and collaboration with E9 partner institutions in China, and in addition Queen's University invests £80,000 to support research student and staff mobility to these partner universities in China. |
| Collaborator Contribution | All UK and Chinese partner universities contribute significantly to staff and research student mobility among partner universities in the UK and China University Consortium, organise and host research seminars, and carry out joint research projects. One of the activities is to establish the future Engineers' Leadership and Innovation Academy, which was developed through the UK-China University Consortium on Engineering Education and Research (UK-China UCEER) and aims to build UK-China teams to support both countries manufacturing ambitions. The academy received the first batch of 26 PhD students from across the Consortium, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy is hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. |
| Impact | UK-China University Consortium on Engineering Education and Research was established in May 2017, the first of its kind between UK and China. The consortium brings together 18 leading universities from UK and China to tackle the global challenges in sustainable energy and intelligent manufacturing, as one of the two education statements signed at the UK-China high-level people-to-people dialogue held in London in December 2017. The future Engineers' Leadership and Innovation Academy has been established with the first batch of 26 PhD students from across the Consortium met in Beijing in Nov 2017, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy was hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. The second batch of students attended the Academy in Nov 2018, which began with the President's Forum of the UK-China Consortium on Engineering Education and Research, which brought together Vice-Chancellors and representatives of all the partner universities, and the British Council. The Forum shared ideas on international research and innovation between UK and Chinese universities, as well as collaboration between universities and industry. After the Forum, the students undertook a mini-MBA, delivered by the William J Clinton Leadership Institute from Queen's University Belfast. The course covered finance essentials, marketing strategies, to leading teams, cumulating with a presentation on consultancy task - where groups competed throughout the week. On the following week, they had seminars on design and innovation, as well as a crash course in machine learning and neural networks, run by academics from Southeast University and researchers from Huawei. Throughout this exchange, the group went on several site visits, from industrial parks, research centres, and Huawei's headquarters in Nanjing. Over the weekends, students visited various cultural and historic sites of significance (from the city walls, the Nanjing Museum, Confucius Temple, and the Presidential Palace, as well as country walks). The Academy was a thoroughly insightful experience for both the UK and Chinese students - from viewpoints on engineering education and research, to sharing and learning about each other's culture. Further, a UK-China Knowledge Exploitation Forum was launched in September 2018 in Chongqing, which brought together leading figures from the government, academia and industry to discuss the impact of policy, the role of incubators and catapults, and work out how the consortium can develop mechanisms to facilitate UK-China knowledge transfer collaborations. |
| Start Year | 2017 |
| Description | UK Consortium for the collaboration with Chinese Excellence League (E9) Group of Universities |
| Organisation | Tianjin University |
| Country | China |
| Sector | Academic/University |
| PI Contribution | UK-China University Consortium on Engineering Education and Research is the first university consortium co-established by UK and China specializing in engineering education and research. The partnership was set up following a prestigious award by BEIS and administrated by the British Council, which is aimed at building higher education links and helping to improve the quality of engineering research and teaching in China. The consortium is the first of its kind to partner leading UK universities with the top nine engineering research institutions in China. It will be led by Queen's University Belfast, and includes the University of Birmingham, Cardiff University, University College London, The University of Nottingham and The University of Warwick. The secretariat is at Queen's University Belfast. The Chinese universities include Southeast University, Beijing Institute of Technology, Chongqing University, Dalian University of Technology, Harbin Institute of Technology, Northwestern Polytechnical University, South China University of Technology, Tianjin University, and Tongji University. The secretariat is located in Southeast University. During a delegation to Shanghai by Jo Johnson MP in September, the Department of Business, Energy & Industrial Strategy agreed to fund the significant £200,000 award through the British Council with second year follow-on funding of another £200,000.The funding will enable the successful universities to work closely with the top nine engineering institutions in China, which will allow the UK universities to create a critical mass on a cluster of key engineering areas, such as energy and advanced manufacturing, and will help maintain the UK's global standing in light of increasing international competition. It will also allow China to make the transition from a big manufacturer to a manufacturing industry superpower. QUB is the secretariat institution, hosting management team for the consortium, and support all activities on engineering research and collaboration with E9 partner institutions in China, and in addition Queen's University invests £80,000 to support research student and staff mobility to these partner universities in China. |
| Collaborator Contribution | All UK and Chinese partner universities contribute significantly to staff and research student mobility among partner universities in the UK and China University Consortium, organise and host research seminars, and carry out joint research projects. One of the activities is to establish the future Engineers' Leadership and Innovation Academy, which was developed through the UK-China University Consortium on Engineering Education and Research (UK-China UCEER) and aims to build UK-China teams to support both countries manufacturing ambitions. The academy received the first batch of 26 PhD students from across the Consortium, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy is hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. |
| Impact | UK-China University Consortium on Engineering Education and Research was established in May 2017, the first of its kind between UK and China. The consortium brings together 18 leading universities from UK and China to tackle the global challenges in sustainable energy and intelligent manufacturing, as one of the two education statements signed at the UK-China high-level people-to-people dialogue held in London in December 2017. The future Engineers' Leadership and Innovation Academy has been established with the first batch of 26 PhD students from across the Consortium met in Beijing in Nov 2017, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy was hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. The second batch of students attended the Academy in Nov 2018, which began with the President's Forum of the UK-China Consortium on Engineering Education and Research, which brought together Vice-Chancellors and representatives of all the partner universities, and the British Council. The Forum shared ideas on international research and innovation between UK and Chinese universities, as well as collaboration between universities and industry. After the Forum, the students undertook a mini-MBA, delivered by the William J Clinton Leadership Institute from Queen's University Belfast. The course covered finance essentials, marketing strategies, to leading teams, cumulating with a presentation on consultancy task - where groups competed throughout the week. On the following week, they had seminars on design and innovation, as well as a crash course in machine learning and neural networks, run by academics from Southeast University and researchers from Huawei. Throughout this exchange, the group went on several site visits, from industrial parks, research centres, and Huawei's headquarters in Nanjing. Over the weekends, students visited various cultural and historic sites of significance (from the city walls, the Nanjing Museum, Confucius Temple, and the Presidential Palace, as well as country walks). The Academy was a thoroughly insightful experience for both the UK and Chinese students - from viewpoints on engineering education and research, to sharing and learning about each other's culture. Further, a UK-China Knowledge Exploitation Forum was launched in September 2018 in Chongqing, which brought together leading figures from the government, academia and industry to discuss the impact of policy, the role of incubators and catapults, and work out how the consortium can develop mechanisms to facilitate UK-China knowledge transfer collaborations. |
| Start Year | 2017 |
| Description | UK Consortium for the collaboration with Chinese Excellence League (E9) Group of Universities |
| Organisation | Tongji University |
| Country | China |
| Sector | Academic/University |
| PI Contribution | UK-China University Consortium on Engineering Education and Research is the first university consortium co-established by UK and China specializing in engineering education and research. The partnership was set up following a prestigious award by BEIS and administrated by the British Council, which is aimed at building higher education links and helping to improve the quality of engineering research and teaching in China. The consortium is the first of its kind to partner leading UK universities with the top nine engineering research institutions in China. It will be led by Queen's University Belfast, and includes the University of Birmingham, Cardiff University, University College London, The University of Nottingham and The University of Warwick. The secretariat is at Queen's University Belfast. The Chinese universities include Southeast University, Beijing Institute of Technology, Chongqing University, Dalian University of Technology, Harbin Institute of Technology, Northwestern Polytechnical University, South China University of Technology, Tianjin University, and Tongji University. The secretariat is located in Southeast University. During a delegation to Shanghai by Jo Johnson MP in September, the Department of Business, Energy & Industrial Strategy agreed to fund the significant £200,000 award through the British Council with second year follow-on funding of another £200,000.The funding will enable the successful universities to work closely with the top nine engineering institutions in China, which will allow the UK universities to create a critical mass on a cluster of key engineering areas, such as energy and advanced manufacturing, and will help maintain the UK's global standing in light of increasing international competition. It will also allow China to make the transition from a big manufacturer to a manufacturing industry superpower. QUB is the secretariat institution, hosting management team for the consortium, and support all activities on engineering research and collaboration with E9 partner institutions in China, and in addition Queen's University invests £80,000 to support research student and staff mobility to these partner universities in China. |
| Collaborator Contribution | All UK and Chinese partner universities contribute significantly to staff and research student mobility among partner universities in the UK and China University Consortium, organise and host research seminars, and carry out joint research projects. One of the activities is to establish the future Engineers' Leadership and Innovation Academy, which was developed through the UK-China University Consortium on Engineering Education and Research (UK-China UCEER) and aims to build UK-China teams to support both countries manufacturing ambitions. The academy received the first batch of 26 PhD students from across the Consortium, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy is hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. |
| Impact | UK-China University Consortium on Engineering Education and Research was established in May 2017, the first of its kind between UK and China. The consortium brings together 18 leading universities from UK and China to tackle the global challenges in sustainable energy and intelligent manufacturing, as one of the two education statements signed at the UK-China high-level people-to-people dialogue held in London in December 2017. The future Engineers' Leadership and Innovation Academy has been established with the first batch of 26 PhD students from across the Consortium met in Beijing in Nov 2017, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy was hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. The second batch of students attended the Academy in Nov 2018, which began with the President's Forum of the UK-China Consortium on Engineering Education and Research, which brought together Vice-Chancellors and representatives of all the partner universities, and the British Council. The Forum shared ideas on international research and innovation between UK and Chinese universities, as well as collaboration between universities and industry. After the Forum, the students undertook a mini-MBA, delivered by the William J Clinton Leadership Institute from Queen's University Belfast. The course covered finance essentials, marketing strategies, to leading teams, cumulating with a presentation on consultancy task - where groups competed throughout the week. On the following week, they had seminars on design and innovation, as well as a crash course in machine learning and neural networks, run by academics from Southeast University and researchers from Huawei. Throughout this exchange, the group went on several site visits, from industrial parks, research centres, and Huawei's headquarters in Nanjing. Over the weekends, students visited various cultural and historic sites of significance (from the city walls, the Nanjing Museum, Confucius Temple, and the Presidential Palace, as well as country walks). The Academy was a thoroughly insightful experience for both the UK and Chinese students - from viewpoints on engineering education and research, to sharing and learning about each other's culture. Further, a UK-China Knowledge Exploitation Forum was launched in September 2018 in Chongqing, which brought together leading figures from the government, academia and industry to discuss the impact of policy, the role of incubators and catapults, and work out how the consortium can develop mechanisms to facilitate UK-China knowledge transfer collaborations. |
| Start Year | 2017 |
| Description | UK Consortium for the collaboration with Chinese Excellence League (E9) Group of Universities |
| Organisation | University College London |
| Department | Department of Electronic and Electrical Engineering |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | UK-China University Consortium on Engineering Education and Research is the first university consortium co-established by UK and China specializing in engineering education and research. The partnership was set up following a prestigious award by BEIS and administrated by the British Council, which is aimed at building higher education links and helping to improve the quality of engineering research and teaching in China. The consortium is the first of its kind to partner leading UK universities with the top nine engineering research institutions in China. It will be led by Queen's University Belfast, and includes the University of Birmingham, Cardiff University, University College London, The University of Nottingham and The University of Warwick. The secretariat is at Queen's University Belfast. The Chinese universities include Southeast University, Beijing Institute of Technology, Chongqing University, Dalian University of Technology, Harbin Institute of Technology, Northwestern Polytechnical University, South China University of Technology, Tianjin University, and Tongji University. The secretariat is located in Southeast University. During a delegation to Shanghai by Jo Johnson MP in September, the Department of Business, Energy & Industrial Strategy agreed to fund the significant £200,000 award through the British Council with second year follow-on funding of another £200,000.The funding will enable the successful universities to work closely with the top nine engineering institutions in China, which will allow the UK universities to create a critical mass on a cluster of key engineering areas, such as energy and advanced manufacturing, and will help maintain the UK's global standing in light of increasing international competition. It will also allow China to make the transition from a big manufacturer to a manufacturing industry superpower. QUB is the secretariat institution, hosting management team for the consortium, and support all activities on engineering research and collaboration with E9 partner institutions in China, and in addition Queen's University invests £80,000 to support research student and staff mobility to these partner universities in China. |
| Collaborator Contribution | All UK and Chinese partner universities contribute significantly to staff and research student mobility among partner universities in the UK and China University Consortium, organise and host research seminars, and carry out joint research projects. One of the activities is to establish the future Engineers' Leadership and Innovation Academy, which was developed through the UK-China University Consortium on Engineering Education and Research (UK-China UCEER) and aims to build UK-China teams to support both countries manufacturing ambitions. The academy received the first batch of 26 PhD students from across the Consortium, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy is hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. |
| Impact | UK-China University Consortium on Engineering Education and Research was established in May 2017, the first of its kind between UK and China. The consortium brings together 18 leading universities from UK and China to tackle the global challenges in sustainable energy and intelligent manufacturing, as one of the two education statements signed at the UK-China high-level people-to-people dialogue held in London in December 2017. The future Engineers' Leadership and Innovation Academy has been established with the first batch of 26 PhD students from across the Consortium met in Beijing in Nov 2017, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy was hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. The second batch of students attended the Academy in Nov 2018, which began with the President's Forum of the UK-China Consortium on Engineering Education and Research, which brought together Vice-Chancellors and representatives of all the partner universities, and the British Council. The Forum shared ideas on international research and innovation between UK and Chinese universities, as well as collaboration between universities and industry. After the Forum, the students undertook a mini-MBA, delivered by the William J Clinton Leadership Institute from Queen's University Belfast. The course covered finance essentials, marketing strategies, to leading teams, cumulating with a presentation on consultancy task - where groups competed throughout the week. On the following week, they had seminars on design and innovation, as well as a crash course in machine learning and neural networks, run by academics from Southeast University and researchers from Huawei. Throughout this exchange, the group went on several site visits, from industrial parks, research centres, and Huawei's headquarters in Nanjing. Over the weekends, students visited various cultural and historic sites of significance (from the city walls, the Nanjing Museum, Confucius Temple, and the Presidential Palace, as well as country walks). The Academy was a thoroughly insightful experience for both the UK and Chinese students - from viewpoints on engineering education and research, to sharing and learning about each other's culture. Further, a UK-China Knowledge Exploitation Forum was launched in September 2018 in Chongqing, which brought together leading figures from the government, academia and industry to discuss the impact of policy, the role of incubators and catapults, and work out how the consortium can develop mechanisms to facilitate UK-China knowledge transfer collaborations. |
| Start Year | 2017 |
| Description | UK Consortium for the collaboration with Chinese Excellence League (E9) Group of Universities |
| Organisation | University of Birmingham |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | UK-China University Consortium on Engineering Education and Research is the first university consortium co-established by UK and China specializing in engineering education and research. The partnership was set up following a prestigious award by BEIS and administrated by the British Council, which is aimed at building higher education links and helping to improve the quality of engineering research and teaching in China. The consortium is the first of its kind to partner leading UK universities with the top nine engineering research institutions in China. It will be led by Queen's University Belfast, and includes the University of Birmingham, Cardiff University, University College London, The University of Nottingham and The University of Warwick. The secretariat is at Queen's University Belfast. The Chinese universities include Southeast University, Beijing Institute of Technology, Chongqing University, Dalian University of Technology, Harbin Institute of Technology, Northwestern Polytechnical University, South China University of Technology, Tianjin University, and Tongji University. The secretariat is located in Southeast University. During a delegation to Shanghai by Jo Johnson MP in September, the Department of Business, Energy & Industrial Strategy agreed to fund the significant £200,000 award through the British Council with second year follow-on funding of another £200,000.The funding will enable the successful universities to work closely with the top nine engineering institutions in China, which will allow the UK universities to create a critical mass on a cluster of key engineering areas, such as energy and advanced manufacturing, and will help maintain the UK's global standing in light of increasing international competition. It will also allow China to make the transition from a big manufacturer to a manufacturing industry superpower. QUB is the secretariat institution, hosting management team for the consortium, and support all activities on engineering research and collaboration with E9 partner institutions in China, and in addition Queen's University invests £80,000 to support research student and staff mobility to these partner universities in China. |
| Collaborator Contribution | All UK and Chinese partner universities contribute significantly to staff and research student mobility among partner universities in the UK and China University Consortium, organise and host research seminars, and carry out joint research projects. One of the activities is to establish the future Engineers' Leadership and Innovation Academy, which was developed through the UK-China University Consortium on Engineering Education and Research (UK-China UCEER) and aims to build UK-China teams to support both countries manufacturing ambitions. The academy received the first batch of 26 PhD students from across the Consortium, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy is hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. |
| Impact | UK-China University Consortium on Engineering Education and Research was established in May 2017, the first of its kind between UK and China. The consortium brings together 18 leading universities from UK and China to tackle the global challenges in sustainable energy and intelligent manufacturing, as one of the two education statements signed at the UK-China high-level people-to-people dialogue held in London in December 2017. The future Engineers' Leadership and Innovation Academy has been established with the first batch of 26 PhD students from across the Consortium met in Beijing in Nov 2017, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy was hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. The second batch of students attended the Academy in Nov 2018, which began with the President's Forum of the UK-China Consortium on Engineering Education and Research, which brought together Vice-Chancellors and representatives of all the partner universities, and the British Council. The Forum shared ideas on international research and innovation between UK and Chinese universities, as well as collaboration between universities and industry. After the Forum, the students undertook a mini-MBA, delivered by the William J Clinton Leadership Institute from Queen's University Belfast. The course covered finance essentials, marketing strategies, to leading teams, cumulating with a presentation on consultancy task - where groups competed throughout the week. On the following week, they had seminars on design and innovation, as well as a crash course in machine learning and neural networks, run by academics from Southeast University and researchers from Huawei. Throughout this exchange, the group went on several site visits, from industrial parks, research centres, and Huawei's headquarters in Nanjing. Over the weekends, students visited various cultural and historic sites of significance (from the city walls, the Nanjing Museum, Confucius Temple, and the Presidential Palace, as well as country walks). The Academy was a thoroughly insightful experience for both the UK and Chinese students - from viewpoints on engineering education and research, to sharing and learning about each other's culture. Further, a UK-China Knowledge Exploitation Forum was launched in September 2018 in Chongqing, which brought together leading figures from the government, academia and industry to discuss the impact of policy, the role of incubators and catapults, and work out how the consortium can develop mechanisms to facilitate UK-China knowledge transfer collaborations. |
| Start Year | 2017 |
| Description | UK Consortium for the collaboration with Chinese Excellence League (E9) Group of Universities |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | UK-China University Consortium on Engineering Education and Research is the first university consortium co-established by UK and China specializing in engineering education and research. The partnership was set up following a prestigious award by BEIS and administrated by the British Council, which is aimed at building higher education links and helping to improve the quality of engineering research and teaching in China. The consortium is the first of its kind to partner leading UK universities with the top nine engineering research institutions in China. It will be led by Queen's University Belfast, and includes the University of Birmingham, Cardiff University, University College London, The University of Nottingham and The University of Warwick. The secretariat is at Queen's University Belfast. The Chinese universities include Southeast University, Beijing Institute of Technology, Chongqing University, Dalian University of Technology, Harbin Institute of Technology, Northwestern Polytechnical University, South China University of Technology, Tianjin University, and Tongji University. The secretariat is located in Southeast University. During a delegation to Shanghai by Jo Johnson MP in September, the Department of Business, Energy & Industrial Strategy agreed to fund the significant £200,000 award through the British Council with second year follow-on funding of another £200,000.The funding will enable the successful universities to work closely with the top nine engineering institutions in China, which will allow the UK universities to create a critical mass on a cluster of key engineering areas, such as energy and advanced manufacturing, and will help maintain the UK's global standing in light of increasing international competition. It will also allow China to make the transition from a big manufacturer to a manufacturing industry superpower. QUB is the secretariat institution, hosting management team for the consortium, and support all activities on engineering research and collaboration with E9 partner institutions in China, and in addition Queen's University invests £80,000 to support research student and staff mobility to these partner universities in China. |
| Collaborator Contribution | All UK and Chinese partner universities contribute significantly to staff and research student mobility among partner universities in the UK and China University Consortium, organise and host research seminars, and carry out joint research projects. One of the activities is to establish the future Engineers' Leadership and Innovation Academy, which was developed through the UK-China University Consortium on Engineering Education and Research (UK-China UCEER) and aims to build UK-China teams to support both countries manufacturing ambitions. The academy received the first batch of 26 PhD students from across the Consortium, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy is hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. |
| Impact | UK-China University Consortium on Engineering Education and Research was established in May 2017, the first of its kind between UK and China. The consortium brings together 18 leading universities from UK and China to tackle the global challenges in sustainable energy and intelligent manufacturing, as one of the two education statements signed at the UK-China high-level people-to-people dialogue held in London in December 2017. The future Engineers' Leadership and Innovation Academy has been established with the first batch of 26 PhD students from across the Consortium met in Beijing in Nov 2017, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy was hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. The second batch of students attended the Academy in Nov 2018, which began with the President's Forum of the UK-China Consortium on Engineering Education and Research, which brought together Vice-Chancellors and representatives of all the partner universities, and the British Council. The Forum shared ideas on international research and innovation between UK and Chinese universities, as well as collaboration between universities and industry. After the Forum, the students undertook a mini-MBA, delivered by the William J Clinton Leadership Institute from Queen's University Belfast. The course covered finance essentials, marketing strategies, to leading teams, cumulating with a presentation on consultancy task - where groups competed throughout the week. On the following week, they had seminars on design and innovation, as well as a crash course in machine learning and neural networks, run by academics from Southeast University and researchers from Huawei. Throughout this exchange, the group went on several site visits, from industrial parks, research centres, and Huawei's headquarters in Nanjing. Over the weekends, students visited various cultural and historic sites of significance (from the city walls, the Nanjing Museum, Confucius Temple, and the Presidential Palace, as well as country walks). The Academy was a thoroughly insightful experience for both the UK and Chinese students - from viewpoints on engineering education and research, to sharing and learning about each other's culture. Further, a UK-China Knowledge Exploitation Forum was launched in September 2018 in Chongqing, which brought together leading figures from the government, academia and industry to discuss the impact of policy, the role of incubators and catapults, and work out how the consortium can develop mechanisms to facilitate UK-China knowledge transfer collaborations. |
| Start Year | 2017 |
| Description | UK Consortium for the collaboration with Chinese Excellence League (E9) Group of Universities |
| Organisation | University of Leeds |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | UK-China University Consortium on Engineering Education and Research is the first university consortium co-established by UK and China specializing in engineering education and research. The partnership was set up following a prestigious award by BEIS and administrated by the British Council, which is aimed at building higher education links and helping to improve the quality of engineering research and teaching in China. The consortium is the first of its kind to partner leading UK universities with the top nine engineering research institutions in China. It will be led by Queen's University Belfast, and includes the University of Birmingham, Cardiff University, University College London, The University of Nottingham and The University of Warwick. The secretariat is at Queen's University Belfast. The Chinese universities include Southeast University, Beijing Institute of Technology, Chongqing University, Dalian University of Technology, Harbin Institute of Technology, Northwestern Polytechnical University, South China University of Technology, Tianjin University, and Tongji University. The secretariat is located in Southeast University. During a delegation to Shanghai by Jo Johnson MP in September, the Department of Business, Energy & Industrial Strategy agreed to fund the significant £200,000 award through the British Council with second year follow-on funding of another £200,000.The funding will enable the successful universities to work closely with the top nine engineering institutions in China, which will allow the UK universities to create a critical mass on a cluster of key engineering areas, such as energy and advanced manufacturing, and will help maintain the UK's global standing in light of increasing international competition. It will also allow China to make the transition from a big manufacturer to a manufacturing industry superpower. QUB is the secretariat institution, hosting management team for the consortium, and support all activities on engineering research and collaboration with E9 partner institutions in China, and in addition Queen's University invests £80,000 to support research student and staff mobility to these partner universities in China. |
| Collaborator Contribution | All UK and Chinese partner universities contribute significantly to staff and research student mobility among partner universities in the UK and China University Consortium, organise and host research seminars, and carry out joint research projects. One of the activities is to establish the future Engineers' Leadership and Innovation Academy, which was developed through the UK-China University Consortium on Engineering Education and Research (UK-China UCEER) and aims to build UK-China teams to support both countries manufacturing ambitions. The academy received the first batch of 26 PhD students from across the Consortium, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy is hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. |
| Impact | UK-China University Consortium on Engineering Education and Research was established in May 2017, the first of its kind between UK and China. The consortium brings together 18 leading universities from UK and China to tackle the global challenges in sustainable energy and intelligent manufacturing, as one of the two education statements signed at the UK-China high-level people-to-people dialogue held in London in December 2017. The future Engineers' Leadership and Innovation Academy has been established with the first batch of 26 PhD students from across the Consortium met in Beijing in Nov 2017, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy was hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. The second batch of students attended the Academy in Nov 2018, which began with the President's Forum of the UK-China Consortium on Engineering Education and Research, which brought together Vice-Chancellors and representatives of all the partner universities, and the British Council. The Forum shared ideas on international research and innovation between UK and Chinese universities, as well as collaboration between universities and industry. After the Forum, the students undertook a mini-MBA, delivered by the William J Clinton Leadership Institute from Queen's University Belfast. The course covered finance essentials, marketing strategies, to leading teams, cumulating with a presentation on consultancy task - where groups competed throughout the week. On the following week, they had seminars on design and innovation, as well as a crash course in machine learning and neural networks, run by academics from Southeast University and researchers from Huawei. Throughout this exchange, the group went on several site visits, from industrial parks, research centres, and Huawei's headquarters in Nanjing. Over the weekends, students visited various cultural and historic sites of significance (from the city walls, the Nanjing Museum, Confucius Temple, and the Presidential Palace, as well as country walks). The Academy was a thoroughly insightful experience for both the UK and Chinese students - from viewpoints on engineering education and research, to sharing and learning about each other's culture. Further, a UK-China Knowledge Exploitation Forum was launched in September 2018 in Chongqing, which brought together leading figures from the government, academia and industry to discuss the impact of policy, the role of incubators and catapults, and work out how the consortium can develop mechanisms to facilitate UK-China knowledge transfer collaborations. |
| Start Year | 2017 |
| Description | UK Consortium for the collaboration with Chinese Excellence League (E9) Group of Universities |
| Organisation | University of Liverpool |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | UK-China University Consortium on Engineering Education and Research is the first university consortium co-established by UK and China specializing in engineering education and research. The partnership was set up following a prestigious award by BEIS and administrated by the British Council, which is aimed at building higher education links and helping to improve the quality of engineering research and teaching in China. The consortium is the first of its kind to partner leading UK universities with the top nine engineering research institutions in China. It will be led by Queen's University Belfast, and includes the University of Birmingham, Cardiff University, University College London, The University of Nottingham and The University of Warwick. The secretariat is at Queen's University Belfast. The Chinese universities include Southeast University, Beijing Institute of Technology, Chongqing University, Dalian University of Technology, Harbin Institute of Technology, Northwestern Polytechnical University, South China University of Technology, Tianjin University, and Tongji University. The secretariat is located in Southeast University. During a delegation to Shanghai by Jo Johnson MP in September, the Department of Business, Energy & Industrial Strategy agreed to fund the significant £200,000 award through the British Council with second year follow-on funding of another £200,000.The funding will enable the successful universities to work closely with the top nine engineering institutions in China, which will allow the UK universities to create a critical mass on a cluster of key engineering areas, such as energy and advanced manufacturing, and will help maintain the UK's global standing in light of increasing international competition. It will also allow China to make the transition from a big manufacturer to a manufacturing industry superpower. QUB is the secretariat institution, hosting management team for the consortium, and support all activities on engineering research and collaboration with E9 partner institutions in China, and in addition Queen's University invests £80,000 to support research student and staff mobility to these partner universities in China. |
| Collaborator Contribution | All UK and Chinese partner universities contribute significantly to staff and research student mobility among partner universities in the UK and China University Consortium, organise and host research seminars, and carry out joint research projects. One of the activities is to establish the future Engineers' Leadership and Innovation Academy, which was developed through the UK-China University Consortium on Engineering Education and Research (UK-China UCEER) and aims to build UK-China teams to support both countries manufacturing ambitions. The academy received the first batch of 26 PhD students from across the Consortium, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy is hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. |
| Impact | UK-China University Consortium on Engineering Education and Research was established in May 2017, the first of its kind between UK and China. The consortium brings together 18 leading universities from UK and China to tackle the global challenges in sustainable energy and intelligent manufacturing, as one of the two education statements signed at the UK-China high-level people-to-people dialogue held in London in December 2017. The future Engineers' Leadership and Innovation Academy has been established with the first batch of 26 PhD students from across the Consortium met in Beijing in Nov 2017, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy was hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. The second batch of students attended the Academy in Nov 2018, which began with the President's Forum of the UK-China Consortium on Engineering Education and Research, which brought together Vice-Chancellors and representatives of all the partner universities, and the British Council. The Forum shared ideas on international research and innovation between UK and Chinese universities, as well as collaboration between universities and industry. After the Forum, the students undertook a mini-MBA, delivered by the William J Clinton Leadership Institute from Queen's University Belfast. The course covered finance essentials, marketing strategies, to leading teams, cumulating with a presentation on consultancy task - where groups competed throughout the week. On the following week, they had seminars on design and innovation, as well as a crash course in machine learning and neural networks, run by academics from Southeast University and researchers from Huawei. Throughout this exchange, the group went on several site visits, from industrial parks, research centres, and Huawei's headquarters in Nanjing. Over the weekends, students visited various cultural and historic sites of significance (from the city walls, the Nanjing Museum, Confucius Temple, and the Presidential Palace, as well as country walks). The Academy was a thoroughly insightful experience for both the UK and Chinese students - from viewpoints on engineering education and research, to sharing and learning about each other's culture. Further, a UK-China Knowledge Exploitation Forum was launched in September 2018 in Chongqing, which brought together leading figures from the government, academia and industry to discuss the impact of policy, the role of incubators and catapults, and work out how the consortium can develop mechanisms to facilitate UK-China knowledge transfer collaborations. |
| Start Year | 2017 |
| Description | UK Consortium for the collaboration with Chinese Excellence League (E9) Group of Universities |
| Organisation | University of Nottingham |
| Department | Faculty of Engineering |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | UK-China University Consortium on Engineering Education and Research is the first university consortium co-established by UK and China specializing in engineering education and research. The partnership was set up following a prestigious award by BEIS and administrated by the British Council, which is aimed at building higher education links and helping to improve the quality of engineering research and teaching in China. The consortium is the first of its kind to partner leading UK universities with the top nine engineering research institutions in China. It will be led by Queen's University Belfast, and includes the University of Birmingham, Cardiff University, University College London, The University of Nottingham and The University of Warwick. The secretariat is at Queen's University Belfast. The Chinese universities include Southeast University, Beijing Institute of Technology, Chongqing University, Dalian University of Technology, Harbin Institute of Technology, Northwestern Polytechnical University, South China University of Technology, Tianjin University, and Tongji University. The secretariat is located in Southeast University. During a delegation to Shanghai by Jo Johnson MP in September, the Department of Business, Energy & Industrial Strategy agreed to fund the significant £200,000 award through the British Council with second year follow-on funding of another £200,000.The funding will enable the successful universities to work closely with the top nine engineering institutions in China, which will allow the UK universities to create a critical mass on a cluster of key engineering areas, such as energy and advanced manufacturing, and will help maintain the UK's global standing in light of increasing international competition. It will also allow China to make the transition from a big manufacturer to a manufacturing industry superpower. QUB is the secretariat institution, hosting management team for the consortium, and support all activities on engineering research and collaboration with E9 partner institutions in China, and in addition Queen's University invests £80,000 to support research student and staff mobility to these partner universities in China. |
| Collaborator Contribution | All UK and Chinese partner universities contribute significantly to staff and research student mobility among partner universities in the UK and China University Consortium, organise and host research seminars, and carry out joint research projects. One of the activities is to establish the future Engineers' Leadership and Innovation Academy, which was developed through the UK-China University Consortium on Engineering Education and Research (UK-China UCEER) and aims to build UK-China teams to support both countries manufacturing ambitions. The academy received the first batch of 26 PhD students from across the Consortium, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy is hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. |
| Impact | UK-China University Consortium on Engineering Education and Research was established in May 2017, the first of its kind between UK and China. The consortium brings together 18 leading universities from UK and China to tackle the global challenges in sustainable energy and intelligent manufacturing, as one of the two education statements signed at the UK-China high-level people-to-people dialogue held in London in December 2017. The future Engineers' Leadership and Innovation Academy has been established with the first batch of 26 PhD students from across the Consortium met in Beijing in Nov 2017, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy was hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. The second batch of students attended the Academy in Nov 2018, which began with the President's Forum of the UK-China Consortium on Engineering Education and Research, which brought together Vice-Chancellors and representatives of all the partner universities, and the British Council. The Forum shared ideas on international research and innovation between UK and Chinese universities, as well as collaboration between universities and industry. After the Forum, the students undertook a mini-MBA, delivered by the William J Clinton Leadership Institute from Queen's University Belfast. The course covered finance essentials, marketing strategies, to leading teams, cumulating with a presentation on consultancy task - where groups competed throughout the week. On the following week, they had seminars on design and innovation, as well as a crash course in machine learning and neural networks, run by academics from Southeast University and researchers from Huawei. Throughout this exchange, the group went on several site visits, from industrial parks, research centres, and Huawei's headquarters in Nanjing. Over the weekends, students visited various cultural and historic sites of significance (from the city walls, the Nanjing Museum, Confucius Temple, and the Presidential Palace, as well as country walks). The Academy was a thoroughly insightful experience for both the UK and Chinese students - from viewpoints on engineering education and research, to sharing and learning about each other's culture. Further, a UK-China Knowledge Exploitation Forum was launched in September 2018 in Chongqing, which brought together leading figures from the government, academia and industry to discuss the impact of policy, the role of incubators and catapults, and work out how the consortium can develop mechanisms to facilitate UK-China knowledge transfer collaborations. |
| Start Year | 2017 |
| Description | UK Consortium for the collaboration with Chinese Excellence League (E9) Group of Universities |
| Organisation | University of Warwick |
| Department | School of Engineering |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | UK-China University Consortium on Engineering Education and Research is the first university consortium co-established by UK and China specializing in engineering education and research. The partnership was set up following a prestigious award by BEIS and administrated by the British Council, which is aimed at building higher education links and helping to improve the quality of engineering research and teaching in China. The consortium is the first of its kind to partner leading UK universities with the top nine engineering research institutions in China. It will be led by Queen's University Belfast, and includes the University of Birmingham, Cardiff University, University College London, The University of Nottingham and The University of Warwick. The secretariat is at Queen's University Belfast. The Chinese universities include Southeast University, Beijing Institute of Technology, Chongqing University, Dalian University of Technology, Harbin Institute of Technology, Northwestern Polytechnical University, South China University of Technology, Tianjin University, and Tongji University. The secretariat is located in Southeast University. During a delegation to Shanghai by Jo Johnson MP in September, the Department of Business, Energy & Industrial Strategy agreed to fund the significant £200,000 award through the British Council with second year follow-on funding of another £200,000.The funding will enable the successful universities to work closely with the top nine engineering institutions in China, which will allow the UK universities to create a critical mass on a cluster of key engineering areas, such as energy and advanced manufacturing, and will help maintain the UK's global standing in light of increasing international competition. It will also allow China to make the transition from a big manufacturer to a manufacturing industry superpower. QUB is the secretariat institution, hosting management team for the consortium, and support all activities on engineering research and collaboration with E9 partner institutions in China, and in addition Queen's University invests £80,000 to support research student and staff mobility to these partner universities in China. |
| Collaborator Contribution | All UK and Chinese partner universities contribute significantly to staff and research student mobility among partner universities in the UK and China University Consortium, organise and host research seminars, and carry out joint research projects. One of the activities is to establish the future Engineers' Leadership and Innovation Academy, which was developed through the UK-China University Consortium on Engineering Education and Research (UK-China UCEER) and aims to build UK-China teams to support both countries manufacturing ambitions. The academy received the first batch of 26 PhD students from across the Consortium, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy is hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. |
| Impact | UK-China University Consortium on Engineering Education and Research was established in May 2017, the first of its kind between UK and China. The consortium brings together 18 leading universities from UK and China to tackle the global challenges in sustainable energy and intelligent manufacturing, as one of the two education statements signed at the UK-China high-level people-to-people dialogue held in London in December 2017. The future Engineers' Leadership and Innovation Academy has been established with the first batch of 26 PhD students from across the Consortium met in Beijing in Nov 2017, and over two weeks period these students met in Beijing to develop new technical and creative skills that will help them to solve global challenges. The Academy was hosted by the Beijing Institute of Technology (BIT) and delivered by staff from Queen's University Belfast and BIT. Working together in transnational teams the students have applied their innovation and leadership skills to topics such as disaster management using unmanned aerial vehicles. This is the first step in building enhanced transnational PhD educational opportunities between the UK and China in engineering. The second batch of students attended the Academy in Nov 2018, which began with the President's Forum of the UK-China Consortium on Engineering Education and Research, which brought together Vice-Chancellors and representatives of all the partner universities, and the British Council. The Forum shared ideas on international research and innovation between UK and Chinese universities, as well as collaboration between universities and industry. After the Forum, the students undertook a mini-MBA, delivered by the William J Clinton Leadership Institute from Queen's University Belfast. The course covered finance essentials, marketing strategies, to leading teams, cumulating with a presentation on consultancy task - where groups competed throughout the week. On the following week, they had seminars on design and innovation, as well as a crash course in machine learning and neural networks, run by academics from Southeast University and researchers from Huawei. Throughout this exchange, the group went on several site visits, from industrial parks, research centres, and Huawei's headquarters in Nanjing. Over the weekends, students visited various cultural and historic sites of significance (from the city walls, the Nanjing Museum, Confucius Temple, and the Presidential Palace, as well as country walks). The Academy was a thoroughly insightful experience for both the UK and Chinese students - from viewpoints on engineering education and research, to sharing and learning about each other's culture. Further, a UK-China Knowledge Exploitation Forum was launched in September 2018 in Chongqing, which brought together leading figures from the government, academia and industry to discuss the impact of policy, the role of incubators and catapults, and work out how the consortium can develop mechanisms to facilitate UK-China knowledge transfer collaborations. |
| Start Year | 2017 |
| Title | A data-driven based Fiber Bragg-grating sensor thermal calibration method in battery real-time temperature monitoring applications |
| Description | A data-driven based battery temperature monitoring approach which using FBG sensor is proposed. Unlike the other FBG sensing technique, this approach can effectively extract the temperature information without the FBG parameters which are generally identified under the specific experimental conditions. |
| Type Of Technology | Systems, Materials & Instrumental Engineering |
| Year Produced | 2020 |
| Impact | This technologycan effectively extract the temperature information without the FBG parameters which are generally identified under the specific experimental conditions. It opens up oppportunities for wide application of low cost FBG sensors for thermal management of battery energy storage systems used in different sectors to support decarbonization. |
| Title | Hybrid Simulation Applications in Emission Trading |
| Description | By adopting the hybrid simulation methodology, emission trading behavior models of computer agents have been constructed and validated to represent a group of emission market participants. Furthermore, the influences of key factors on emission price have been investigated. The application software have been successfully applied in the national vocational training for "low carbon economist". |
| Type Of Technology | Webtool/Application |
| Year Produced | 2015 |
| Impact | A very useful tool to measure the influences of key factors on emission price. |
| Title | Hybrid Simulation Applications in Energy Information Systems |
| Description | SGEPRI developed the hybrid simulation technology to integrate power grid and communication grid models, which can simulate multiple types of control in power transmission and distribution networks, and communication failures in wired and wireless devices. By using this technology, protection controls in power transmission and distribution networks, such as stability controls, AFC, AVC, demand response, can be validated in the platform, and the design, operation and control of a power grid and communication systems can be optimized. |
| Type Of Technology | Webtool/Application |
| Year Produced | 2015 |
| Impact | This simulation tool could help both researchers and industry to validate different protection control approaches in power system. |
| Title | Low-Cost, Extensible and Open Source Home Automation Framework |
| Description | jjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjj |
| Type Of Technology | Webtool/Application |
| Year Produced | 2018 |
| Impact | jjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjj |
| Title | Point Energy |
| Description | Point energy technology has been developed to offer low-cost component level energy monitoring, providing actionable insights that reduce energy costs and optimise manufacturing processes (http://www.pointenergy.org/). The technology has won several awards, such as 1) Invent2016 Category Winner, Point Energy Technology, Invent 2016, NISP CONNECT, Sept 29, 2016; 2) Finalist, Point Energy Technology, SEAI Sustainable Energy Awards 2016, 2016; 3) Institute of Measurement and Control ICI Prize, for the best paper published in Transactions in 2014, The technology has been tested in several industrial partners from polymer processing to food processing, and attracted substantial interest from industry, public and investors. |
| Type Of Technology | Systems, Materials & Instrumental Engineering |
| Year Produced | 2015 |
| Impact | Point energy technology has won several awards, such as 1) Invent2016 Category Winner, Point Energy Technology, Invent 2016, NISP CONNECT, Sept 29, 2016; 2) Finalist, Point Energy Technology, SEAI Sustainable Energy Awards 2016, 2016; 3) Institute of Measurement and Control ICI Prize, for the best paper published in Transactions in 2014, The technology has been tested in Irwin's Bakery which the system has effectively offer cloud-based energy consumption at component level to the company for over a half year, and the company started to implement insightful advice to reduce energy consumption, the system has also been tested in Greiner packaging since 2015, Coca-cola from 2016, etc. The system will also deployed in several other industrial companies through a most recent EPSRC project for optimising energy consumption in industry. |
| URL | http://www.pointenergy.org/ |
| Description | UK-China workshop on 'Shaping low carbon energy future' |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The UK-China workshop on 'Shaping low carbon energy future', in junction with workshops on 'Intelligent computing and control for networked systems' & 'Smart grids and electric vehicles'', provided a unique and exciting opportunities for researchers and industrialists worldwide, in particular early career researchers from UK and China to work together to generate innovative ideas for shaping low carbon energy future, which will eventually generate impacts and benefit the society, in particular poor populations which still suffer from fuel poverty and poor access to bulk power. This has been achieved via knowledge sharing, brain-storming, knowledge transfer trainings and social networking events. It will also contribute significantly to the capacity building of early career researchers through mentoring scheme and training, and encourage high-impact joint publications and help to foster long-term collaborations of researchers and industrialists through joint application of research grants and formation of a research consortium. Ultimately, it will help achieve the strategic plan of developing all around UK-China collaborations in science and technology in delivering impact, shaping capability and training future leaders. The whole event was attended by over 90 people from UK and China, across different sectors. The workshop covered a wide range of topics, and sparkled a lot of debates, and a UK-China consortium on shaping low carbon energy future has been formed. The workshop was also opened to public. |
| Year(s) Of Engagement Activity | 2016 |
| URL | http://ukchinaenergy.com/programme/ |
| Description | 2018 International Conference on Intelligent Manufacturing and Internet of Things & International Conference on Sustainable Energy Engineering |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The 2018 International Conference on Intelligent Manufacturing and Internet of Things & International Conference on Sustainable Energy Engineering has launched on September 22, 2018 at Huxi Campus, Chongqing University. IMIOT & ICSEE 2018 is jointly organized by Chongqing University, Queen's University Belfast, University of Leeds and Chongqing Association for Science and Technology, with support of the government of Shapingba District and University Consortium on Engineering Education and Research. Nearly 300 delegates, including academicians, Changjiang Scholars and Outstanding Young Persons from home and abroad have attended the event. Experts and scholars different countries and regions presented in 16 sessions, sparkled a number of discussions and research collaborations. Three conference proceedings have been published in Springer's lecture notes. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://www.springer.com/us/book/9789811323836 |
| Description | 2018 UK-China (Chongqing) Knowledge Exploitation and Standardization Forum |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | The forum brought together leading figures from the government, academia and industry to discuss novel and cross-boundary approaches of collaborations and facilitation mechanism between UK and China to promote innovation and knowledge exploitation in the fields of intelligent manufacturing and revolutionary smart energy systems. In the meantime, the forum has launched the preparation event of the UK-China knowledge exploitation network, and showcases some of the latest progresses and projects in the two areas. The event was featured with distinguished guest speeches on the impact of policy, role of incubators and catapults, novel mechanisms to facilitate UK-China collaborations on knowledge transfer, sustainable innovation and knowledge transfer, and case studies of UK-China collaborations on knowledge transfer. Posters of existing and potential knowledge transfer projects from academic institutions were presented to attract further funding and investment, and a UK-China Knowledge Exploitation Network Preparation Ceremony was launched. |
| Year(s) Of Engagement Activity | 2018 |
| URL | http://ukchinaconsortium.com/chongqing-conferenceworkshop |
| Description | 2019 IEEE 3rd International Electrical and Energy Conference (CIEEC2019) |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Kyenote speech, 2019 IEEE 3rd International Electrical and Energy Conference (CIEEC2019), Sep 7-9, 2019, Title: Battery Storage in Shaping Low Carbon Energy Future. Around 600 professionals attended the conference, including delegates from governments, international associations, Chinese Academy of Sciences and Chinese Academy of Engineering universities, scientific research institutions and enterprises. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Belfast goes Back to the Future with electric DeLorean |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | Queen's University Belfast unveiled its electric DeLorean, on the exact date that Marty McFly went Back To The Future in the iconic Belfast-built car - on 21 October 2015. Doc Brown famously modified the DeLorean as a time machine in the Back to the Future movies, the second of which saw Marty McFly travel to 21 October 2015 to prevent his future son being sent to prison. On that exact date, Queen's and NIE Networks unveiled the latest version of the famous car, which students and staff have modified as a hi-tech electrical vehicle - the first of its kind in the UK or Ireland. It is thought to be the first DeLorean to be built in Northern Ireland since production came to a halt at DeLorean's Belfast factory in 1983. Students and staff from Queen's School of Electronics, Electrical Engineering and Computer Science, have painstakingly restored and modified the DeLorean DMC-12 over the last eighteen months. It was revealed on Wednesday at the Ulster Museum. Local school children got a preview of the car on Wednesday morning, with the opportunity to find out more about the Electrical Engineering courses on offer at Queen's, while members of the public can find out more about the Queen's Electric DeLorean project at a free public lecture at the Ulster Museum at 6pm. Details of the event could be found at youtube: https://www.youtube.com/watch?v=9BvI0qoduKk Visit Queen's Electric Delorean at facebook: http://www.facebook.com/QUBEV |
| Year(s) Of Engagement Activity | 2015 |
| URL | https://www.youtube.com/watch?v=9BvI0qoduKk |
| Description | Invited Keynote Speaker |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | Invited Keynote Speech by Prof Kang Li at International Seminar on EEM [Efficient Energy Management], in conjunction with SWEET 2016, Gwangju, EVIT (Energy Valley Institute of Technology), South Korea, March 16-17, 2016. Title: 'Decarbonizing the whole energy system from top to tail - big data analytics and intelligent control approach'. Over 150 audience from business, industry, general public, and professional practitioners. |
| Year(s) Of Engagement Activity | 2016 |
| Description | Invited Keynote Speech - Malaysia |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Invited Keynote Speech by Prof Kang Li at International Conference on Information, System and Convergence Applications (ICISCA 2015), Kuala Lumpur, Malaysia, June 24-27, 2015. Title: '"Intelligent systems and control for decarbonizing the whole energy system from head to tail'. Over 200 people attended the conference. It sparkled debates and interests with follow-on queries and exchange of ideas. |
| Year(s) Of Engagement Activity | 2015 |
| Description | Invited lecture at Beijing Jiaotong University |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Schools |
| Results and Impact | Professor Kang Li was invited to give a lecture titled 'The nexus of sustainable energy and transportation' on 28 September 2018 at Beijing Jiaotong University |
| Year(s) Of Engagement Activity | 2018 |
| URL | http://mece.njtu.edu.cn/hzjl/gjhz/157731.htm |
| Description | Invited lecture at Hunan Institute of Engineering |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Undergraduate students |
| Results and Impact | Invited lecture at Hunan Institute of Engineering, Title: 'Battery monitoring technologies', 04 December 2019. Over 60 undergraduate and postgraduate students as well as academics attend the lecture, which sparked questions and discussion afterwards. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.hnie.edu.cn/website/newsArticle.jsp?columnid=0102&artid=1575939387111723699 |
| Description | Invited lecture at Hunan University |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Invited lecture at Hunan University. Title: 'Battery storage in shaping low carbon energy future', 09 December 2019. Over 30 postgraduate students and academics attended the presentation, which sparked questions and discussions afterwards. Further, international research collaborations have been planned on energy and transportation electrification. |
| Year(s) Of Engagement Activity | 2019 |
| URL | http://eeit.hnu.edu.cn/info/1203/7302.htm |
| Description | Invited lecture at Imperial College London |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Schools |
| Results and Impact | Prof. Kang Li was invited to give a lecture titled 'The nexus of sustainable energy and manufacturing' at Imperial College London on 19 June 2018. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://talks.ee.ic.ac.uk/talk/index/1012 |
| Description | Invited lecture at Southwest Jiaotong University |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Schools |
| Results and Impact | Professor Kang Li was invited to give a lecture titled 'Two-stage regression modelling' at Southwest Jiaotong University on 26 September 2018. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Invited presentation a China Metropolitan Transportation Think-Tan Forum on 'Towards a Leading Country on Transportation: Forum on Smart and Low Carbon Development of Comprehensive Transportation Systems in Urban Agglomeration of Metropolitan Cities in New Era', Beijing, 30 April, 2021. |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Invited presentation at China Metropolitan Transportation Think-Tan Forum, Beijing, 30 April, 2021. Title: 'Nexus of Smart Energy Systems and Smart Transportation'. |
| Year(s) Of Engagement Activity | 2021 |
| Description | Invited presentation on 'Intelligent monitoring, state estimation and charging control of Li-ion batteries', 8 Novemver, 2021, at International Forum on Frontiers of Automation and Artificial Intelligence (FAAI 2021), Shenyang, China |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Invited to give a presentation on 'Intelligent monitoring, state estimation and charging control of Li-ion batteries', 8 Novemver, 2021, at International Forum on Frontiers of Automation and Artificial Intelligence (FAAI 2021), Shenyang, China. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://neunews.neu.edu.cn/2021/1213/c217a75368/pagem.htm |
| Description | Invited presentation on 'Monitoring, state estimation and charging control of Li-ion batteries' at Institute of Mechanical Engineers (IMechE) International EV Batteries 2021 conference, London, UK. |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | Invited to give a presentation on 'Monitoring, state estimation and charging control of Li-ion batteries', 9-10 Novemver, 2021, at Institute of Mechanical Engineers (IMechE) International EV Batteries 2021 conference, London, UK. The conference focuses on the latest developments in battery design, testing, thermal management, charging and integration right across the lifecycle of the battery for a more resilient and cost-effective battery. A live face to face event was organized to network with a variety of experts within the battery industry from pioneering battery and vehicle manufacturers to testing and safety specialists. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://events.imeche.org/ViewEvent?code=CMP7333 |
| Description | Invited speech at Chinese Association for Artificial Intelligence Cloud Forum on Net Zero and Smart Energy Systems, Nanjing, 18 April, 2021. Title: State estimation and charging control of battery storage systems. |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Invited speech at Chinese Association for Artificial Intelligence Cloud Forum on Net Zero and Smart Energy Systems, Nanjing, 18 April, 2021. Title: State estimation and charging control of battery storage systems. |
| Year(s) Of Engagement Activity | 2021 |
| Description | Invited speech on 'Intelligent Monitoring and Charging Control of Battery Storage Systems' at 2021 UCEER Symposium on Electrical Engineering and Information Technologies |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Gave an invited presentation on 'Intelligent Monitoring and Charging Control of Battery Storage Systems' at 2021 UCEER Symposium on Electrical Engineering and Information Technologies, ISEEIT 2021, 18/19 December, 2021, Nanjing, China. The UK-China University Consortium on Engineering Education and Research is an international university consortium established in 2017 funded by BEIS and administrated by British Council, aiming to promote education and research collaborations between leading institutions in the UK and China. The Symposium held online has attracted thousands of audience from HEIs and public. |
| Year(s) Of Engagement Activity | 2021 |
| Description | Invited talk on 'Sensing technologies in smart energy systems' at 51st Intelligent Sensing Program (ISP51) event, ISP51 (Webinar 3): Emerging (Sensing) Technologies, 11th May (10:00am - 12:00pm), Knowledge Transfer Network, 2021. |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Invited talk on 'Sensing technologies in smart energy systems', at 51st Intelligent Sensing Program (ISP51) event, ISP51 (Webinar 3): Emerging (Sensing) Technologies, 11th May (10:00am - 12:00pm), Knowledge Transfer Network, 2021. The focus was on novel and emerging sensing technologies currently under development for the power industry. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://ktn-uk.org/events/isp51-sensing-in-energy-system-emerging-sensing-technologies/ |
| Description | Keynote speech at the 1st International Composite Conference on Automation and Artificial Intelligence (ICCAAI 2019), 22-24 July, Shengyang, China |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Keynote speech at the 1st International Composite Conference on Automation and Artificial Intelligence (ICCAAI 2019), 22-24 July, Shengyang, China, Title: 'The nexus of smart energy, manufacturing and transportation systems'. Over 300 delegates attended the workshop, the presentation sparked questions and discussions afterwards. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Keynote speech at 17th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2020, Mexico City, Mexico, November 11, 2020 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Keynote speech at 17th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2020, Mexico City, Mexico, November 11, 2020, Title: State estimation and charging control of battery storage systems. |
| Year(s) Of Engagement Activity | 2020 |
| Description | Keynote speech at 2017 International Conference on Life System Modelling and Simulation (LSMS 2017), and on Intelligent Computing for Sustainable Energy and Environment (ICSEE'17), |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Keynote speech delivered at 2017 International Conference on Life System Modelling and Simulation (LSMS 2017), and on Intelligent Computing for Sustainable Energy and Environment (ICSEE'17), September, Nanjing, 2017, China. Title: 'Control technologies in decarbonizing the whole energy system from top to tail'. The purpose is to promote the importance of new control technologies in decarbonizing the whole energy chain to professional practitioners and industrial partners, as well as postgraduate students. Over 200 people from all around the world attended the keynote speech. |
| Year(s) Of Engagement Activity | 2017 |
| Description | Keynote speech at 2017 UK-China Symposium on Future Energy, 19th August 2017, Jurys Inn, Park Place, Cardiff, UK |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Keynote speech titled "Control technologies in decarbonizing the whole energy chain from top to tail", presented at 2017 UK-China Symposium on Future Energy, 19th August 2017, Jurys Inn, Park Place, Cardiff, UK |
| Year(s) Of Engagement Activity | 2017 |
| Description | Keynote speech at UK-China Innovation and Knowledge Exploitation Forum, 22 June 2019, Guangzhou |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | On behalf of the UK-China University Consortium on Engineering Education and Research, I organised UK-China Innovation and Knowledge Exploitation Forum, 22 June 2019, Guangzhou, as part of a larger international event - China Innovation and Entrepreneurship Fair 2019 (CIEF), under the theme of "Innovation and Entrepreneurship in a New Era and Sharing a New Future" held in Guangzhou from June 21 to 23. The Fair was sponsored by China Association for Science and Technology, the National Development and Reform Commission, Chinese Academy of Engineering, the Central Committee of Jiusan Society, the People's Government of Guangdong Province, and the People's Government of Guangzhou Municipality, and organized by the People's Government of Guangzhou Municipality and International Data Group. The 2019 CIEF set up over 20 exhibition areas (special zones) including international group, innovation leadership, exhibiting upwards of 1,200 projects for innovative and entrepreneurial achievements. More than 150 foreign technology companies, innovation carriers, technology associations, and research institutions from over 20 countries including the United States, Britain, Israel, South Korea, Australia, Germany, and France organized 250 projects. Over 20 special events such as road show promotion and forum salon will be held. At the launching event, 10 projects of innovative and entrepreneurial achievements have been implemented or intention of transaction has been signed. UK-China University Consortium on Engineering Education and Research is the first university alliance on engineering education and research jointly built by China and the United Kingdom. Founded in May 2017, the Consortium was initiated by Southeast University and Queen's University of Belfast, UK. It comprises nine Chinese universities famous for engineering disciplines and six British universities under the Russell Group. The number of British universities was expanded to nine. As a key partner of this year's Fair, UK-China University Consortium on Engineering Education and Research staged a host of exciting and diverse events to promote university-enterprise cooperation and application of results. In the forum, I also delivered 'UK-China University Consortium on Engineering Education and Research and Knowledge Exploitation Platform'. The event sparked questions and discussions, and a number of media reports resulted from the event. The event led to a number of follow-up research innovation and knowledge exploitation activities, including several major research projects, grant applications, and knowledge transfer activities. |
| Year(s) Of Engagement Activity | 2019 |
| URL | http://www.ukchinaengineering.com/RecordofActivities/ |
| Description | Keynote speech at the 6th International Conference on Sustainable Information Engineering and Technology (SIET 2021), 13-14 September 2021, Universitas Bung Hatta, Indonesia. |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Keynote speech at the 6th International Conference on Sustainable Information Engineering and Technology (SIET 2021), Title: State estimation and charging control of battery storage systems. 13-14 September 2021, Universitas Bung Hatta, Indonesia. The International Conference on Sustainable Information Engineering and Technology (SIET) was held to bring together academia, researchers, business entrepreneurs, practitioners, and policymakers who are responsible for applying information engineering and technology by leveraging intelligent computing to create and enabling a smart environment. The theme for SIET 2021 will be "Sustainable Information Engineering and Technology: Innovation for smart societies." The organizer has further donated the honorarium of the keynote to a School in Indonesia to support education of children in remote regions. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://siet.ub.ac.id/event/siet21 |
| Description | Keynote speech in UK-China Researchers Link Workshop on 'Coordinated Development of New Energy Technologies and Multi-Energy Internet' |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | UK-China Researchers Link Workshop on 'Coordinated Development of New Energy Technologies and Multi-Energy Internet', Shanghai Jiao Tong University, Shanghai, China, 22-25th, October 2017. Title: 'Control technologies in decarbonizing the whole energy system from top to tail'. Speech made of mainly earlier career researchers in both UK and China, over 30 delegates attended the workshop. |
| Year(s) Of Engagement Activity | 2017 |
| Description | Keynote speech, 1st UK-China University Consortium on Engineering Education and Research (UCEER) Symposium on Electrical Excellence and Smart Energy, EESE 2020, Nanjing, December 11-12, 2020 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Keynote speech at 1st UK-China University Consortium on Engineering Education and Research (UCEER) Symposium on Electrical Excellence and Smart Energy, EESE 2020, Nanjing, December 11-12, 2020. Over 10000 people attended at 1st UK-China University Consortium on Engineering Education and Research (UCEER) Symposium on Electrical Excellence and Smart Energy, EESE 2020, Nanjing, December 11-12, 2020, which sparked questions and discussion afterwards, reported at local and national media |
| Year(s) Of Engagement Activity | 2020 |
| Description | Keynote speech, 2nd International Forum on Frontiers of Automation and Artificial Intelligence, October 22-23, 2020, in Shenyang, China. Title: Artificial intelligence in state estimation of battery storage systems |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Keynote speech at 2nd International Forum on Frontiers of Automation and Artificial Intelligence (FAAI 2020, http://conf.kzgc.com.cn/iai2020/), October 22-23, 2020, in Shenyang, China. Title: Artificial intelligence in state estimation of battery storage systems |
| Year(s) Of Engagement Activity | 2020 |
| URL | http://conf.kzgc.com.cn/iai2020/ |
| Description | LSMS 2014 & ICSEE 2014 |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The 2014 International Conference on Life System Modeling and Simulation (LSMS2014) and 2014 International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE2014) have aimed to bring together researchers and practitioners in the field of life system modeling and simulation as well as intelligent computing theory and methodology with applications to sustainable energy and environment from across the world. These events are built upon the success of previous LSMS conferences held in Shanghai and Wuxi in 2004, 2007 and 2010, and ICSEE conferences held in Shanghai and Wuxi in 2010 and 2012 respectively, and are based on large-scale UK-China collaboration projects on sustainable energy, including the UK-China Science Bridge project and UK-China iGIVE project. At LSMS2014 and ICSEE2014, technical exchanges within the research community have taken in the form of keynote speeches, panel discussions, special sessions, as well as oral and poster presentations. Participants were also treated to a series of social functions, receptions and networking sessions, which will serve to establish new connections, foster friendships, and forge collaborations. Over 200 people from all over the world attended the conferences. |
| Year(s) Of Engagement Activity | 2014 |
| URL | http://lsms-icsee-2014.shu.edu.cn/ |
| Description | Presentation of Point Energy Technologies in Regional Competitions |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Industry/Business |
| Results and Impact | The Point Energy Technology, developed through a couple EPSRC funded project, has been presented in INVENT 2016 in Northern Ireland and Sustainable Energy Award Competition in Ireland. The presentations in these competition have been widely reported in the public, and generated wide awareness of the technologies developed through the EPSRC funded projects. Several companies approached the team for deployment of the new energy saving technologies. |
| Year(s) Of Engagement Activity | 2016 |
| URL | http://www.pointenergy.org/ |
| Description | Workshop on Integration of Electric Vehicles with Smart Grid |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | This workshop is based on the large scale UK-China project on electric vehicles and smart grid led by Queen's University Belfast, and it has brought together over 200 researchers and engineers worldwide to explore the technologies for seamless integration of electric vehicles with grid. The workshop was held in Shanghai, in junction with Shanghai University, Harbin Institute of Technology, State Grid EPRI of China, and Cranfield University. The workshop reported the latest progress in the research in electric vehicles and smart grid. |
| Year(s) Of Engagement Activity | 2014 |
| URL | http://lsms-icsee-2014.shu.edu.cn/?page=Content/workshop%20EVSG |
| Description | Workshop on nexus of smart energy, intelligent manufacturing and transportation systems, University of Leeds, 24-25 January 2019 |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Organised the 'Workshop on nexus of smart energy, intelligent manufacturing and transportation systems', University of Leeds, 24-25 January 2019, featured with over 10 presentations and early career researcher workshop. Over 120 delegates from both academia and industry, the event has sparked questions and discussions afterwards, and following reseach collaborations have been planned. |
| Year(s) Of Engagement Activity | 2019 |