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Fei GUO is a Research Scholar with the Energy (ENE) Program at IIASA. His main research interests include dynamic energy efficiency potential analysis, modeling energy demand in the building sector, consumer discrete choice models, heterogeneous household behaviors in energy use, and climate and energy policy assessment through the MESSAGEix - a global Integrated Assessment Model (IAM).
Currently at IIASA, Dr. Guo is developing a residential energy demand module for the MESSAGEix-China, and is exploring decarbonization strategies in the building sector based on studying the energy and material interactions between the building sector and relevant building material manufacturing sectors.
Dr. Guo received his PhD in Energy and Environmental Policy from the University of Delaware (USA), and his MSc in Building Science from the Tsinghua University (China). Prior to joining IIASA, he worked as a researcher at the Institute for Global Environmental Strategies (IGES), Japan, and as a senior engineer at the Beijing Institute of Architectural Design (BIAD), China.
Last update: 05-MAR-2018
Zhang Y, Ma T, & Guo F (2018). A multi-regional energy transport and structure model for China’s electricity system. Energy 161: 907-919. DOI:10.1016/j.energy.2018.07.133.
Grubler A, Wilson C, Bento N, Boza-Kiss B, Krey V, McCollum D, Rao N, Riahi K, et al. (2018). A low energy demand scenario for meeting the 1.5 °C target and sustainable development goals without negative emission technologies. Nature Energy 3 (6): 517-525. DOI:10.1038/s41560-018-0172-6.
Guo F, Akenji L, Schroeder P, & Bengtsson M (2018). Static analysis of technical and economic energy-saving potential in the residential sector of Xiamen city. Energy 142: 373-383. DOI:10.1016/j.energy.2017.10.042.
Guo F & Pachauri S (2017). China's Green Lights Program: A review and assessment. Energy Policy 110: 31-39. DOI:10.1016/j.enpol.2017.08.002.
Guo F, Pachauri S, & Cofala J (2017). Cost-effective subsidy incentives for room air conditioners in China: An analysis based on a McFadden-type discrete choice model. Energy Policy 110: 375-385. DOI:10.1016/j.enpol.2017.08.039.
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