Dr Chenghong Gu
Reader
Email: C.Gu@bath.ac.uk
Telephone: +44 (0) 1225 383040
Dr Chenghong Gu is a Reader in smart energy systems with the University of Bath, where he was EPSRC Postdoctoral Fellow (2014-2017). His research designs novel models and tools for planning and operating smart energy systems, including electricity, natural gas, heating/cooling, and transportation toward net zero. He was a key researcher for two LCNF projects with WPD – LV Templates and Sola Bristol. Dr Gu has more than 90 peer-reviewed journal papers, and won three paper prizes: CEPRI Prize, 2018; ‘Outstanding PhD Paper Prize’ at the 7th EEM, 2010; and Outstanding CSEE Yearly Paper, Proceedings of the CSEE, 2009. He was a committee member of Ofgem’s Safety, Resilience and Reliability working group, and now serves as a member of IEEE Committee for power economics and market and IEEE Working Group on network charging. He co-chaires Supergen Energy Networks Hub – Markets and Regulation Working Group. Dr Gu is a Subject Editor for IET Smart Grid, editor for IEEE Access and Scientific Report.
Research:
- Dr Gu’s primary research is concerned with planning and operating resilient smart multi-vector energy systems of electricity, natural gas, heating/cooling and transportation towards zero emissions by 2050 under the dramatic climate change. His research is primarily focused on three areas:
1. Multi-vector energy systems: The centrepiece of his research is to develop novel data-driven and advanced optimisation models for multi-vector energy systems. His research is to develop new robust optimisation and machine learning facilitated models, algorithms and methods for multi-vector energy systems. They can help energy system operators to enhance security costly-efficiently, reduce energy bills for customers, and increase penetration of renewables and low-carbon technologies, promoting the move towards zero emissions.
2. Energy system resilience under climate change: He is developing data-driven methods to study UK transmission system resilience under extreme weather events. It will identify system strengths and weaknesses that can hardly be obtained using traditional model-based approaches, thus informing new system planning and operation practices for network operators, and standards and regulatory frameworks for Ofgem and BEIS.
3. Energy market design: This area is explored with Prof Li at CSPD. The research identifies the future roles of DSOs in future low carbon energy, and designs novel local energy/network markets to facilitate local balancing. This strand of research can inform the pathways of DSO transition, the architecture of future local markets, thus creating a vibrant level playing field for all parties who will reshape the UK energy landscape from now till 2050.
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