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Biography

Zhiyuan Fan is a Ph.D. student in Columbia University Earth and Environmental Engineering Department and a research associate at the Center on Global Energy Policy. He supports CGEP’s Carbon Management Research Initiative and Energy System Modelling Program. His research focuses on decarbonization strategy of energy systems, including energy system modeling and optimization, low-carbon fuels and processes, hard-to-abate sectors, CO2 use/recycling, and low-carbon infrastructure analysis.

Prior to joining SIPA, he worked as a graduate student researcher at the Sustainable Engineering Lab in Columbia University’s Mechanical Engineering Department, focusing on energy system modeling and optimization for deep renewable penetration, and electrification of heavy road transportation. He obtained his M.S. in Mechanical Engineering (energy system concentration) from Columbia University and B.Eng in Mechanical and Aerospace Engineering from the Hong Kong University of Science and Technology.

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ICEF Artificial Intelligence for Climate Change Mitigation Roadmap (Second Edition)

Can artificial intelligence help cut emissions of greenhouse gases? In this second edition of the Artificial Intelligence for Climate Change Mitigation Roadmap, a team of 25 co-authors led by CGEP Inaugural Fellow David Sandalow explores that question, finding that AI has the potential to make significant contributions to fighting climate change. The Roadmap’s 17 chapters provide introductions to AI and climate change, examine the potential for AI to help reduce greenhouse gas emissions in eight sectors and discuss cross-cutting topics such as large language models and government policy. Each chapter includes 5-10 specific, actionable recommendations for realizing AI’s potential to help fight climate change.

External Publications with David Sandalow, Antoine Halff, Zhiyuan Fan + 4 more • Innovation for Cool Earth Forum • November 15, 2024
ICEF Artificial Intelligence for Climate Change Mitigation Roadmap (Second Edition)
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