Optimising Energy Management in Industry - 'OPTEMIN'
Lead Research Organisation:
Brunel University London
Department Name: Mechanical and Aerospace Engineering
Abstract
The UK Government the EU and the international community in general have ambitious targets for reduction of Greenhouse Gas Emissions (GHG) and Global Warming. Even though emission reduction targets to 2020 are likely to be met by the UK, longer term targets to 2050 and 2100 are unlikely to be met without substantial changes to policy and technological approaches in the generation, distribution and utilisation of energy.
Globally, industrial energy use is responsible for 33% of greenhouse gas emissions. In the UK, industrial emissions have reduced in recent years and are now estimated to contribute between 20-25% of total emissions. Approximately 70% of the energy demand of the industrial sector is for heat. All heating processes result in significant quantities of waste heat, up to 50% in some cases, and is widely acknowledged that there is significant potential for heat recovery, estimated at between 18-40 TWh/yr or £0.18-0.4 billion per year at today's energy prices. As yet, most of this potential has remained unexploited due to technical, economic and organisational factors. Other opportunities for energy efficiency and decarbonisation include the optimisation of steam systems that are responsible for 35% of industrial energy use, the use of bioenergy, particularly from organic and other wastes generated on site, and whole industrial site energy integration and optimisation.
To exploit the potential offered by energy efficiency, heat recovery and conversion to electrical or thermal energy at a higher or lower temperature and utilise the opportunities offered by waste to energy conversion and energy integration a number of major challenges need to be addressed. These include: i) development and application of technologies for data acquisition at high enough granularity to enable detailed analysis of performance at component, process and system level, ii) methodologies for the optimal design of technologies to provide confidence in their performance at implementation stage, iii) tools for performance analysis and control optimisation in real time, iv) modelling of energy flows at site level to provide optimisation of energy management based on energy, environmental and economic considerations, and iv) investigation and development of business models that overcome barriers and encourage the adoption of new energy efficient and demand reduction technologies.
In the OPTEMIN project we aim to address these challenges by working very closely with our key industrial collaborators to: i) understand the major technical, operational and economic issues associated with the acquisition and analysis of large energy data, ii) use the data to gain insights into the complex energy networks, their interactions and impacts in large industrial manufacturing facilities, iii) critically evaluate the performance of new innovative energy demand reduction and energy conversion technologies using data from demonstration installations, iv) investigate drivers and business models that can facilitate their full development and commercialisation, v) develop methodologies and tools to optimise individual process design, whole site energy integration and management and evaluate their decarbonisation potential within the context of Government policies and decarbonisation roadmaps to 2050. The overall objective is to demonstrate through the research programme and fully documented case studies supported by comprehensive data sets, the potential to achieve energy demand and carbon emission reductions in excess of 15%.
Globally, industrial energy use is responsible for 33% of greenhouse gas emissions. In the UK, industrial emissions have reduced in recent years and are now estimated to contribute between 20-25% of total emissions. Approximately 70% of the energy demand of the industrial sector is for heat. All heating processes result in significant quantities of waste heat, up to 50% in some cases, and is widely acknowledged that there is significant potential for heat recovery, estimated at between 18-40 TWh/yr or £0.18-0.4 billion per year at today's energy prices. As yet, most of this potential has remained unexploited due to technical, economic and organisational factors. Other opportunities for energy efficiency and decarbonisation include the optimisation of steam systems that are responsible for 35% of industrial energy use, the use of bioenergy, particularly from organic and other wastes generated on site, and whole industrial site energy integration and optimisation.
To exploit the potential offered by energy efficiency, heat recovery and conversion to electrical or thermal energy at a higher or lower temperature and utilise the opportunities offered by waste to energy conversion and energy integration a number of major challenges need to be addressed. These include: i) development and application of technologies for data acquisition at high enough granularity to enable detailed analysis of performance at component, process and system level, ii) methodologies for the optimal design of technologies to provide confidence in their performance at implementation stage, iii) tools for performance analysis and control optimisation in real time, iv) modelling of energy flows at site level to provide optimisation of energy management based on energy, environmental and economic considerations, and iv) investigation and development of business models that overcome barriers and encourage the adoption of new energy efficient and demand reduction technologies.
In the OPTEMIN project we aim to address these challenges by working very closely with our key industrial collaborators to: i) understand the major technical, operational and economic issues associated with the acquisition and analysis of large energy data, ii) use the data to gain insights into the complex energy networks, their interactions and impacts in large industrial manufacturing facilities, iii) critically evaluate the performance of new innovative energy demand reduction and energy conversion technologies using data from demonstration installations, iv) investigate drivers and business models that can facilitate their full development and commercialisation, v) develop methodologies and tools to optimise individual process design, whole site energy integration and management and evaluate their decarbonisation potential within the context of Government policies and decarbonisation roadmaps to 2050. The overall objective is to demonstrate through the research programme and fully documented case studies supported by comprehensive data sets, the potential to achieve energy demand and carbon emission reductions in excess of 15%.
Planned Impact
Industrial energy use in the UK represents 20-25% of total greenhouse gas emissions. It is acknowledged that these emissions can be reduced by improving further the energy efficiency of manufacturing processes, the maximisation of energy recovery from waste and waste heat streams and improved overall industrial site energy integration and management. These changes will be enabled by technological innovations, cost reductions, and innovations in business models and policies that encourage and incentivise the adoption of new technologies and energy demand reduction measures.
The proposed research will optimise energy management in industry through the investigation, development and demonstration in collaboration with industry partners a new generation of innovative energy recovery and conversion technologies from waste and waste heat streams and optimum integration and management of these technologies to achieve energy demand reduction and emissions of the order of 10-15%. This will be achieved by: i) understanding the interrelationships and interactions between energy consuming processes and the different energy carriers in industrial and manufacturing sites through large data capture, classification, storage and retrieval, ii) the development of tools for the design of innovative energy recovery and conversion technologies and their optimum integration within existing industrial sites, iii) evaluation of the economic and environmental performance of these technologies; iv) the development of business models and data that can be used by decision makers at company level and policy makers to encourage and incentivise the adoption of energy demand reduction measures and technologies.
The new technology design and energy management tools and control algorithms that will be developed and demonstrated will benefit technology manufacturers and large industrial energy users. In the initial stages principal beneficiaries will be the industrial partners which include very large energy users from the Iron and Steel and Food and Drink manufacturing sectors, TATA Steel and Faccenda Foods, and innovative technology manufacturers, Spirax Sarco, Enogia SAS and Eonotherm Ltd. These innovations will, however, not only be applicable to the Iron and Steel and F&D sectors but also all other energy intensive sectors such as the Petrochemical, Pharmaceutical, Cement and Pulp and Paper which offer significant potential for waste and waste heat to energy conversion. In industrial thermal processes 30-50% of energy input is wasted through different waste heat streams. Recovery and conversion or upgrading some of this heat through the innovative heat recovery and conversion systems is expected to reduce energy demand by 10-15%, assuming a conversion efficiency of 50% and result in return on investment of between 2-5 years.
The reduction of carbon emissions will enable the Government and industry to move closer to the decarbonisation targets set for 2050 and beyond and project outcomes will contribute to Government decarbonisation policies and action plans. At the same time, the energy intensive industries will benefit from lower energy costs and increased competitiveness which should lead to lower final product costs and improved employment opportunities from which the general public will benefit. Technology manufacturing companies will also benefit from the rapidly rising global heat recovery and power generation market which is expected to reach $53.12 billion by 2018.
The proposed research will optimise energy management in industry through the investigation, development and demonstration in collaboration with industry partners a new generation of innovative energy recovery and conversion technologies from waste and waste heat streams and optimum integration and management of these technologies to achieve energy demand reduction and emissions of the order of 10-15%. This will be achieved by: i) understanding the interrelationships and interactions between energy consuming processes and the different energy carriers in industrial and manufacturing sites through large data capture, classification, storage and retrieval, ii) the development of tools for the design of innovative energy recovery and conversion technologies and their optimum integration within existing industrial sites, iii) evaluation of the economic and environmental performance of these technologies; iv) the development of business models and data that can be used by decision makers at company level and policy makers to encourage and incentivise the adoption of energy demand reduction measures and technologies.
The new technology design and energy management tools and control algorithms that will be developed and demonstrated will benefit technology manufacturers and large industrial energy users. In the initial stages principal beneficiaries will be the industrial partners which include very large energy users from the Iron and Steel and Food and Drink manufacturing sectors, TATA Steel and Faccenda Foods, and innovative technology manufacturers, Spirax Sarco, Enogia SAS and Eonotherm Ltd. These innovations will, however, not only be applicable to the Iron and Steel and F&D sectors but also all other energy intensive sectors such as the Petrochemical, Pharmaceutical, Cement and Pulp and Paper which offer significant potential for waste and waste heat to energy conversion. In industrial thermal processes 30-50% of energy input is wasted through different waste heat streams. Recovery and conversion or upgrading some of this heat through the innovative heat recovery and conversion systems is expected to reduce energy demand by 10-15%, assuming a conversion efficiency of 50% and result in return on investment of between 2-5 years.
The reduction of carbon emissions will enable the Government and industry to move closer to the decarbonisation targets set for 2050 and beyond and project outcomes will contribute to Government decarbonisation policies and action plans. At the same time, the energy intensive industries will benefit from lower energy costs and increased competitiveness which should lead to lower final product costs and improved employment opportunities from which the general public will benefit. Technology manufacturing companies will also benefit from the rapidly rising global heat recovery and power generation market which is expected to reach $53.12 billion by 2018.
Organisations
- Brunel University London (Lead Research Organisation)
- Spirax-Sarco Ltd (Collaboration)
- Scottish Power Ltd (Collaboration)
- Kelvion (Collaboration)
- Active Building Centre (Collaboration)
- Tata Steel (United Kingdom) (Collaboration)
- United Kingdom Atomic Energy Authority (Collaboration)
- HiETA Technologies Limited (Collaboration)
Publications
Balcioglu G
(2023)
Energy from forest residues in Turkey: An environmental and economic life cycle assessment of different technologies.
in The Science of the total environment
Bianchi G
(2017)
Development and analysis of a packaged Trilateral Flash Cycle system for low grade heat to power conversion applications
in Thermal Science and Engineering Progress
Bianchi G
(2021)
Overview and outlook of research and innovation in energy systems with carbon dioxide as the working fluid
in Applied Thermal Engineering
Cameron C
(2018)
Low-cost, extensible and open source home automation framework
Cao J
(2020)
Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model
in IEEE Transactions on Smart Grid
Chai L
(2018)
A Review of Airside Heat Transfer Augmentation with Vortex Generators on Heat Transfer Surface
in Energies
Chai L
(2020)
A review of printed circuit heat exchangers for helium and supercritical CO2 Brayton cycles
in Thermal Science and Engineering Progress
Description | Evaluation of the efficiency of new heat to power technologies. Comparison of environmental impacts and cost effectiveness of energy efficiency approaches and technologies in the food and steel sectors |
Exploitation Route | The technologies being developed are implemented on industrial sites. Information and data in publications can be used by academia and industry |
Sectors | Energy Environment |
Description | Findings from the research are contributing to the development of new technologies and energy saving approaches by industry. For example the research on supercritical carbon dioxide power cycles (sCO2) and their application to high temperature waste heat to power systems, has increased interest in these systems in the UK and overseas in their potential application to the new fusion reactors for power generation. sCO2 power systems offer the potential for higher energy conversion efficiencies and smaller footprint compared to steam power plant. The further development of these technologies will open the route for commercial exploitation through their application for waste heat recovery from high temperature sources, such as those in the foundation industries and for power generation in nuclear power plant. Success in the development and adoption of these technologies will lead to significant academic and societal impacts. Academic impacts are the generation of knowledge for the design and manufacture of high temperature and pressure turbomachinery and heat exchangers, their assembly into systems and their optimum integration and control. Societal impacts include employment opportunities in the manufacture, installation and commissioning of these systems and the creation of export opportunities. The technologies will also have environmental impacts in terms of reducing greenhouse gas emissions and reduction/elimination of electricity generation in fossil fuel power plant. |
First Year Of Impact | 2023 |
Sector | Aerospace, Defence and Marine,Communities and Social Services/Policy,Creative Economy,Education,Energy,Environment,Manufacturing, including Industrial Biotechology |
Impact Types | Societal Economic Policy & public services |
Description | RAEng Policy Fellow - mentoring |
Geographic Reach | National |
Policy Influence Type | Influenced training of practitioners or researchers |
Impact | Mentoring the head of the Heat Planning Team in the Scottish Government with responsibility for a range of heat decarbnisation policies, including the commitment to develop Local Heat and Energy Efficiency Strategies, public sector leadership on heat decarbonisation, and the development of regulations for new buildings. |
Description | (CO2OLHEAT) - Supercritical CO2 power cycles demonstration in Operational environment Locally valorising industrial Waste Heat |
Amount | € 18,813,891 (EUR) |
Funding ID | 101022831 |
Organisation | European Commission |
Sector | Public |
Country | European Union (EU) |
Start | 05/2021 |
End | 05/2025 |
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 | SCOTWOHR - INDUSTRIAL WASTE HEAT RECOVERY USING SUPERCRITICAL CARBON DIOXIDE CYCLES |
Amount | £707,925 (GBP) |
Funding ID | EP/V001795/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 01/2021 |
End | 12/2024 |
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 knowledge consortium on energy and manufacturing |
Amount | £7,000 (GBP) |
Organisation | British Council |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 05/2018 |
End | 03/2019 |
Title | The enhanced DBSCAN algorithm for clustering |
Description | The statistical analysis on the collected data is conducted, including operating conditions and voltage unbalance rates of machines at different operational modes. With the value of MinPts, the optimal Eps value of an enhanced DBSCAN can be determined by the k-dist curve plot automatically. Then for every manufacturing sub-process, the machine status can be identified by the enhanced DBSCAN algorithm. |
Type Of Material | Technology assay or reagent |
Year Produced | 2019 |
Provided To Others? | Yes |
Impact | The classical DBSCAN algorithm requires two parameters, Eps and MinPts, the accurate estimation of which is a critically important task for good performance. For the enhanced DBSCAN, the optimal Eps could be determined by the first sharp change on k-dist curve automatically |
Title | The genetic algorithm for job shop scheduling |
Description | The production schedule defines how and when machine and materials will be utilised to make each product. Quotas and order deadlines are dictated by customer demand, however varying degrees of flexibility always exist in how these demands are met. Research on multiple jobs processed by several machines while each job must be performed in a given order is one of the most important industrial activities job shop scheduling (JSS). Genetic algorithm (GA) is an evolutionary process inspired optimization approach, and has been widely adopted in job shop scheduling. Here we use GA to solve the JSS in bakery. |
Type Of Material | Technology assay or reagent |
Year Produced | 2019 |
Provided To Others? | Yes |
Impact | The genetic algorithm is deployed to solve the job shop scheduling problem in bakery based upon the commercial electrical tariffs, and this reduces the electricity bill by £80 per day in the case study. In addation, Gantt chart presents the result of optimal scheduling. |
Title | Data for: Gasification of poultry litter in a lab-scale bubbling fluidised bed reactor: Impact of process parameters on gasifier performance and tar evolution. |
Description | Three solid phase adsorption tar samples for each test condition are taken in 2 minutes intervals. Average values of the three samples are taken into consideration within the manuscript. Benzene and Toluene are considered as permanent gases and thus their are not taken into account when calculating the total amount of tar. |
Type Of Material | Database/Collection of data |
Year Produced | 2019 |
Provided To Others? | Yes |
URL | https://data.mendeley.com/datasets/4tz52g76fh |
Title | Data for: Gasification of poultry litter in a lab-scale bubbling fluidised bed reactor: Impact of process parameters on gasifier performance and tar evolution. |
Description | Three solid phase adsorption tar samples for each test condition are taken in 2 minutes intervals. Average values of the three samples are taken into consideration within the manuscript. Benzene and Toluene are considered as permanent gases and thus their are not taken into account when calculating the total amount of tar. |
Type Of Material | Database/Collection of data |
Year Produced | 2019 |
Provided To Others? | Yes |
URL | https://data.mendeley.com/datasets/4tz52g76fh/1 |
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 |
Description | Collaboration with Active Building Centre, UK |
Organisation | Active Building Centre |
Country | United Kingdom |
Sector | Charity/Non Profit |
PI Contribution | Undertake research on the development of high temperature heat pumps |
Collaborator Contribution | Active Building Centre is funding the research. They are also providing in-kind support in terms of the manufacture of some of the heat pump components |
Impact | Project is still in progress. High temperature heat pumps are still under development. A draft journal publication has been prepared. |
Start Year | 2021 |
Description | HiETA |
Organisation | HiETA Technologies Limited |
Country | United Kingdom |
Sector | Private |
PI Contribution | Research into compact heat exchangers for supercritical CO2 power systems |
Collaborator Contribution | Provision of technical support and advice |
Impact | 1 publication on compact heat exchangers |
Start Year | 2021 |
Description | Industrial collaborator on project |
Organisation | Spirax-Sarco Ltd |
Country | United Kingdom |
Sector | Private |
PI Contribution | Providing reserach input to the project |
Collaborator Contribution | Sponsorship of research student and providing staff time and equipment |
Impact | Too early |
Start Year | 2016 |
Description | Kelvion |
Organisation | Kelvion |
Country | Germany |
Sector | Private |
PI Contribution | Supply gas coolers and instrumentation of testing and research and development |
Collaborator Contribution | Provide technical support and advice as well as equipment for testing and validation of simulation models |
Impact | Simulation models for the design of CO2 gas coolers |
Start Year | 2017 |
Description | OPTEMIN Project |
Organisation | TATA Steel |
Country | India |
Sector | Private |
PI Contribution | Analysis of data and advice on energy savings |
Collaborator Contribution | Staff time and data |
Impact | Project on-going. |
Start Year | 2017 |
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 | Tata Steel |
Organisation | TATA Steel |
Country | India |
Sector | Private |
PI Contribution | Involved in the design of a trilateral flash cycle for heat to power conversion |
Collaborator Contribution | Mad available the site and contribute to the installation of the technology |
Impact | produce energy savings at Tata Steel Port Talbot |
Start Year | 2016 |
Description | UKAEA |
Organisation | UK Atomic Energy Authority |
Country | United Kingdom |
Sector | Public |
PI Contribution | Develop software and analyse the performance of sCO2 systems in fusion reactors |
Collaborator Contribution | Provided data and insights into the operation of fusion power plant |
Impact | Report to the funder |
Start Year | 2023 |
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 | 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/ |
Title | Point energy monitoring platform |
Description | The point energy technology is developed for SMEs to improve the insight of the energy usage in the manufacturing processes, initially used for plastics and food sectors, and the most recent one was installed in a local bakery in Northern Ireland. |
Type Of Technology | Webtool/Application |
Year Produced | 2018 |
Open Source License? | 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 |
URL | http://www.likang.org/ |
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 | 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 Northeast 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 | Prof. Kang li was invited to give a lecture at Northeast University titled 'Control technologies in decarbonizing the whole energy chain from top to tail' on 14 January 2017. |
Year(s) Of Engagement Activity | 2017 |
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 |
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 | Attend EPSRC 6 sensor project meeting at University of Surrey on 4 March 2018 and made a presentation on point energy technology, which has sparkled discussions and questions among attendees from both academia and industrialists. |
Year(s) Of Engagement Activity | 2019 |
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 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, 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 | LoCITY |
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 | London auxTRU project introduction |
Year(s) Of Engagement Activity | 2017 |
Description | Workshop on nexus of smart energy, intelligent manufacturing and transportation systems |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Schools |
Results and Impact | This workshop provides a platform to share some latest studies and thoughts on the nexus of smart energy, manufacturing and transportation systems in alignment with the global effort in achieving 100% clean and renewable transition for all sectors. In additional to invited speeches and panel discussion, an early career researchers workshop and a UCEER project scoping meeting will be organised, out of which task groups for networking and consortium projects will be formed for tackling key challenging problems across the smart energy, manufacturing and transportation systems. |
Year(s) Of Engagement Activity | 2019 |
URL | http://ukchinaconsortium.com/leeds-workshop |
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 |