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Study with us

From data analytics to environmental economics, we equip graduates with the tools needed to succeed in a career in energy industry, academia or policy.

Our research

Energy problems are multidisciplinary in nature, spanning science, engineering and the social sciences. Our research combines different approaches to develop tools, models and methods that address global energy challenges.

Partner with us

Most of our work is in partnership with industry, government and other academic bodies, ensuring that what we do has a real-world impact.

New research from Dr Michael Fell at the UCL Energy Institute envisions a future where peer-to-peer energy trading is more common using trade systems that are fairly designed to provide the widest possible benefits for consumers, society and the environment. 

New research from Aidan O'Sullivan at the UCL Energy Institute shows how AI is saving millions of tonnes of carbon from the single largest industrial emitter: cement

New Bartlett Review article by Tristant Smith shows how UCL research is helping create pathways for green energy to power the global shipping industry.

New Bartlett Review article by Steve Pye and James Price shows how UCL research is guiding the phase-out of fossil fuels, estimating 60% of oil and gas and 90% of coal reserves need to remain in the ground

New Bartlett Review article by Steve Evans shows how London’s Islington Council has partnered with UCL to decarbonise social housing in pursuit of net zero

New Bartlett Review article by Paul Dodds shows how a UCL energy system model has become a key tool used by the UK Government in the transition to net zero

Dr Clare Hanmer and Dr Ellen Zapata-Webborn show how new research by the Bartlett’s Smart Energy Research Lab (SERL) can provide crucial insights into UK household energy usage, especially during times of rising energy costs.

A new study by Tadj Oreszczyn at the UCL Energy Institute with Oxford University examines how households use energy, gathering invaluable data to help make the energy transition affordable and sustainable for all.

Dr Yuerong Zhang and colleagues at the UCL Energy Institute are harnessing AI and machine learning to find ways to increase the resilience of the UK rail network and help prepare it for climate disruption.