Projects per year
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. Dr Gu attracted £1.3 million funding in total, out of which more than 615k as PI from EPSRC, British Council, National Grid, Northern Powergrid, and Shanghai Electric. 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.
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.
Willing to supervise doctoral students
- Enery system modelling, operation, and markets
- Energy, transportation, economics nexus
- Energy system resilience and impact of climate change
- Application of data analytics and AI to energy systems
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Associate Editor, IEEE Transactions on Power Systems, IEEE Power and Energy Society
1 Jan 2022 → …
Associate Editor, IEEE Access, IEEE Power and Energy Society
1 Jan 2020 → …
Subject Editor, IET Smart Grid, Institution of Engineering and Technology
1 Jan 2019 → …
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1/04/20 → 31/12/22
Project: Central government, health and local authorities
1/03/19 → 30/06/22
Project: Research council
19/10/17 → 30/04/19
Project: UK industry
Researching ICT tools for Enabling Demand reduction through User-friendly Coordination of Energy supply and demand (REDUCE)
Gu, C. & Ma, K.
1/09/17 → 31/08/20
Project: Research council
Fellowship - Multi-Vector Energy Distribution System Modelling and Optimisation with Integrated Demand Side Response
1/09/14 → 31/08/17
Project: Research council
Li, S., Zhao, P., Gu, C., Li, J., Huo, D. & Cheng, S., 27 Sep 2022, (E-pub ahead of print) In: IEEE Transactions on Smart Grid. p. 1 1 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile1 Downloads (Pure)
Xi, J., Pei, X., Niu, L., Feehally, T., Wilson, P., Gu, C. & Zeng, V., 31 Jul 2022, In: International Journal of Electrical Power & Energy Systems. 139, 107996.
Research output: Contribution to journal › Article › peer-reviewOpen Access1 Citation (SciVal)
A Wasserstein distributionally robust planning model for renewable sources and energy storage systems under multiple uncertaintiesLi, J., Xu, Z., Liu, H., Wang, C., Wang, L. & Gu, C., 30 May 2022, (E-pub ahead of print) In: IEEE Transactions on Sustainable Energy. p. 1 1 p.
Research output: Contribution to journal › Article › peer-review
Li, S., Zhao, P., Gu, C., Li, J., Cheng, S. & Xu, M., 20 Jun 2022, (E-pub ahead of print) In: IEEE Transactions on Industrial Informatics. p. 1-10 10 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile1 Citation (SciVal)60 Downloads (Pure)
Zhao, P., Cao, Z., Zeng, D., Gu, C., Wang, Z., Xiang, Y., Qadrdan, M., Chen, X., Yan, X. & Li, S., 1 Mar 2022, In: IEEE Transactions on Industrial Informatics. 18, 3, p. 2144-2159 16 p.
Research output: Contribution to journal › Article › peer-review2 Citations (SciVal)
Gu, C., 1 Oct 2010
Supervisor: Li, F. (Supervisor)
Student thesis: Doctoral Thesis › PhDFile