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Dr Francis Li
Room 325
UCL Energy Institute, Central House
14 Upper Woburn Place
London
WC1H 0NN
Tel: +44 (0)20 3108 5962
Appointment
  • Senior Research Associate
  • Bartlett School Env, Energy & Resources
  • Faculty of the Built Environment
Biography

Dr Li is a Senior Research Associate at the UCL Energy Institute, focusing on energy economic modelling and energy policy. Francis received his PhD in Energy and Economics from the UCL Energy Institute in 2013, having previously practiced at a multinational engineering consultancy (2005-2012). Dr Li is a Chartered Engineer (CEng) with the Energy Institute (EI) and a member of the British Institute of Energy Economics (BIEE).

Research Summary

Dr Li's current portfolio of projects includes both academic research for the RCUK energy programme and strategic analysis for major industry stakeholders (UK Energy Technologies Institute, UK Energy Systems Catapult, National Grid plc). His research activities focus on long term energy and climate policy analysis using scenario planning with computational models. This includes investigating the technical and economic trade-offs for energy systems under low carbon futures, exploring pathways to achieving deep decarbonisation, and integrating behavioural, societal and political perspectives into models used for strategic foresight and decision making.

Specialisms: energy systems analysis, quantitative modelling, energy economics, behavioural economics, decision theory


Domain knowledge: global energy and climate policy, scenario planning and analysis, energy system decarbonisation, technological diffusion dynamics, decisions under deep uncertainty and risk analysis, computational simulation and optimisation

Teaching Summary

Dr Li teaches on:

  • UCL's postgraduate Master of Research (MRes) in Energy Demand Studies, specifically the module "Energy: Society, Economics and Policy"
  • UCL's postgraduate Master of Science (MSc) in Economics and Policy of Energy and the Environment (EPEE), specifically the module “Modelling Methods and Scenarios”
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