UCL–Tsinghua University Research Collaboration
Overview
This post documents an ongoing research collaboration with :contentReference[oaicite:0]{index=0}, centred on energy storage systems, power-system optimisation, and energy governance.
The collaboration is aligned with the system-level and policy-facing dimensions of Chapter 6 of my PhD thesis, which focuses on uncertainty-aware optimisation and resilience-oriented design of hybrid energy storage systems.
Collaborating Researcher
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Think Tank Core Member / Researcher
Energy Governance Team, Energy Internet Research Institute
Tsinghua University
Dr. Meng Yao received his B.S. degree from Huazhong University of Science and Technology (2012), M.S. degree from Zhejiang University (2015), and Ph.D. degree from North Carolina State University (2019). He previously served as a Research Staff Member at the China Electric Power Planning and Engineering Institute.
His research interests include:
- Low-carbon and energy policy analysis
- Power-system operation with energy storage
- Distribution system analysis
- Optimal planning of power and energy systems
Collaboration Focus
The collaboration connects technical optimisation models with policy and governance-oriented analysis, with emphasis on:
- Cost–benefit assessment of energy storage in power-system operation
- The role of storage in regulation services and system flexibility
- Planning and operational trade-offs under market and policy constraints
- Implications of uncertainty-aware system design for energy governance
This perspective complements my thesis work on hybrid electrochemical energy storage systems, extending it from infrastructure-scale resilience modelling toward decision-making, regulation, and long-term system planning.
Related Research Background
Dr. Yao’s prior work includes studies on:
- Cost–benefit analysis of energy storage for regulation services, examining lifetime depreciation, signal design, and one-directional versus two-directional operation using