Associate Professor, School of Architecture, Harbin Institute of Technology (Shenzhen), Since 2022
Director of Urban Smart Energy Group in Shenzhen Key Laboratory of Urban Planning and Decision-making
Junior Editorial Board of Building Simulation, Since 2023
Nanshan Piloting Talent, Since 2022
Shenzhen Overseas High-Caliber Talent, Since 2019
Member of the Architectural Society of China, Since 2018
Member of Shenzhen Green Building Association, Since 2019
BIO
I obtained my Ph.D. degree from the Department of Architecture at Penn and joined the School of Architecture at Harbin Institute of Technology (Shenzhen) in 2018. I have led many national, provincial, and municipal research projects in China and have published over 20 high-impact journal articles as first or corresponding author. My research interest includes: Building performance and comfort; AI and machine learning applications in building energy use and comfort; Climate change impact and adaptation (on both building and urban scale); Urban climate and sustainability.
Ji, Yuchen, Song, Jusheng, and Shen, Pengyuan*. (2022). A review of studies and modelling of solar radiation on human thermal comfort in outdoor environment. Building and Environment 214, 108891.
Li, Yu, Li, Lingling, and Shen, Pengyuan*. (2023). Probability-based visual comfort assessment and optimization in national fitness halls under sports behavior uncertainty. Building and Environment, 110596.
Shen, Pengyuan*, Wang, Meilin, Liu, Junhuan, and Ji, Yuchen. (2023). Hourly air temperature projection in future urban area by coupling climate change and urban heat island effect. Energy and Buildings 279, 112676.
Shen, Pengyuan*, and Wang, Zheng. (2020). How neighborhood form influences building energy use in winter design condition: Case study of Chicago using CFD coupled simulation. Journal of Cleaner Production 261, 121094.
Shen, Pengyuan*, and Yang, Biao. (2020). Projecting Texas energy use for residential sector under future climate and urbanization scenarios: A bottom-up method based on twenty-year regional energy use data. Energy 193, 116694.
