UK-China Bridge in Sustainable Energy and Built Environment
Lead Research Organisation:
Queen's University Belfast
Department Name: Sch of Electronics, Elec Eng & Comp Sci
Abstract
The Chinese 11th Five-Year Plan considers Sustainable Energy Supply and Sustainable Built Environment as crucial for achieving sustainable development. Recognising the potential benefits, the UK government has actively encouraged international collaborations with China. Two Engineering Schools at Queen's University Belfast (QUB), with internationally recognised research excellence in the Built Environment and in Electric Power & Control, have taken used these opportunities to collaborate with a number of, geographically distributed, leading Chinese universities, research institutions and industries. This effort has been supported by the EPSRC, the Royal Society & the Royal Academy of Engineering, and includes a 1M EPSRC grant for a UK-China joint consortium on sustainable electric power supply and a 220K EPSRC project to run UK-China Network of Clean Energy Research to promote SUPERGEN (Sustainable Power Generation and Supply) in China. Some QUB technologies have also been tested in major construction projects, such as the Beijing National Olympic Stadium (Bird's Nest) and the Hangzhou Bay Sea-Crossing Bridge (longest such bridge in the world). The applicants aim to enhance their science innovation and technology transfer activities in both China and the UK helped by their 7 university partners (principally Tsinghua University, # 1 in China & Zhejiang University, #3 in China, the others being Chongqing, Shanghai Jiaotong, Southeast, Shanghai and Hunan), 3 Chinese research institutions (Central Research Institute of Building & Construction CRIBC, the Chinese Academy of Sciences Institute of Electrical Engineering, and the Research Institute of Highways). The China State Railway Corp. (largest under Ministry of Railways), the China State Construction Corporation (largest under Ministry of Construction), Bao Steel Corporation (largest in China, #6 in world sales) and Shanghai Electric Group (largest in China) are the main 4 Chinese industrial partners. Complementary UK support includes Amphora NDT Ltd, Macrete and SUPERGEN.
Organisations
- Queen's University Belfast (Lead Research Organisation)
- Medical Research Council (Co-funder)
- Economic and Social Research Council (Co-funder)
- Zhejiang University (Project Partner)
- Shanghai Jiao Tong University (Project Partner)
- Tsinghua University (Project Partner)
- China State Railway Construction Co (Project Partner)
- Chongqing University (Project Partner)
- Metallurgical Corporation of China (China) (Project Partner)
- Shanghai Electric (China) (Project Partner)
- Southeast University (Project Partner)
- Ministry of Transport (Project Partner)
- Amphora NDT (United Kingdom) (Project Partner)
- Chinese Academy of Sciences (Project Partner)
- China State Construction Engineering (China) (Project Partner)
- Baosteel (China) (Project Partner)
- Hunan University (Project Partner)
- Shanghai University (Project Partner)
Publications
Deng J
(2011)
Two-stage RBF network construction based on particle swarm optimization
in Transactions of the Institute of Measurement and Control
Yan J
(2016)
Time series wind power forecasting based on variant Gaussian Process and TLBO
in Neurocomputing
Yang A
(2014)
Stability Analysis and Implementation of a Decentralized Formation Control Strategy for Unmanned Vehicles
in IEEE Transactions on Control Systems Technology
Yang Y
(2014)
Multiattribute SCADA-Specific Intrusion Detection System for Power Networks
in IEEE Transactions on Power Delivery
Yang A
(2015)
Multi-UAVs formation autopilot design and performance analysis under interconnection topologies
in Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
Du D
(2011)
Modelling and stability analysis of MIMO networked control systems withmulti-channel random packet losses
in Transactions of the Institute of Measurement and Control
Zhou B
(2016)
Local storage meets local demand: a technical solution to future power distribution system
in IET Generation, Transmission & Distribution
Li B
(2012)
Improved conjugate gradient implementation for least squares support vector machines
in Pattern Recognition Letters
Deng W
(2013)
Identification and control of Hammerstein systems via wireless networks
in International Journal of Systems Science
Yan J
(2016)
Hybrid Probabilistic Wind Power Forecasting Using Temporally Local Gaussian Process
in IEEE Transactions on Sustainable Energy