Profile
Dr. Xiang (Jason) Zhang is a postdoctoral researcher at the Thermal Architecture Lab, Weitzman School of Design, University of Pennsylvania (UPenn), actively engaging in the U.S. Department of Energy ARPA-E HESTIA program. He obtained his Ph.D. from KU Leuven, Belgium, where he was a fully funded doctoral researcher for the International Energy Agency (IEA) EBC Annex-71 project. Prior to KU Leuven, he conducted research at the National University of Singapore (NUS), Tokyo Institute of Technology (Tokyo Tech), etc.
His recent research focuses on three main domains: 1) Data-driven building energy performance characterization and predictive control; 2) Building energy and BIPV (building-integrated photovoltaics) simulation; and 3) Sustainable & green building rating systems. Dr. Zhang's recent research findings have been published in highly regarded international journals, such as Applied Energy, Renewable and Sustainable Energy Reviews, Journal of Cleaner Production, and Building and Environment, among others. Meanwhile, his research was honored with the prestigious Best Paper Award at the 5th International Conference on Building Energy and Environment COBEE 2022, held in Montreal, Canada.
Select Publications
His recent selected peer-reviewed publications include:
Xiang Zhang*, Dorit Aviv, Dirk Saelens, and Staf Roels. Estimating time-dependent solar gains through opaque building envelope parts: an explorative study on a test box, 13th Nordic Symposium on Building Physics, Aalborg, Denmark, 12-14 June 2023. Journal of Physics: Conference Series. 2654 (2023) 12123. https://doi.org/10.1088/1742-6596/2654/1/012123.
Xiang Zhang*, Dirk Saelens, and Staf Roels. Impact of solar gain estimation on heat loss coefficient determination using in-situ data: comparing co-heating test with B-splines integrated grey-box modeling, Building and Environment. 2023 110417. https://doi.org/10.1016/j.buildenv.2023.110417.
Xiang Zhang*, Dirk Saelens, and Staf Roels. Data-driven estimation of time-dependent solar gain coefficient in a two-zone building with synthetic occupants: Two B-splines integrated grey-box modeling approaches, Building and Environment. 2023 110311. https://doi.org/10.1016/j.buildenv.2023.110311.
Xiang Zhang*, Dirk Saelens, and Staf Roels. Data-driven dynamic solar gain estimation: an artificial occupancy case, In: Proceedings of the 5th International Conference on Building Energy and Environment. Springer, Singapore. (Best Paper Award and FWO Travel Grant) https://doi.org/10.1007/978-981-19-9822-5_120.
Xiang Zhang*, Christoffer Rasmussen, Dirk Saelens, and Staf Roels. Time-dependent solar aperture estimation of a building: comparing grey-box and white-box approaches, Renewable & Sustainable Energy Reviews. 2022 (161): 112337. https://doi.org/10.1016/j.rser.2022.112337.
Xiang Zhang*, Dirk Saelens, and Staf Roels. Estimating dynamic solar gains from on-site measured data: an ARX modelling approach, Applied Energy. 2022 (321): 119278. https://doi.org/10.1016/j.apenergy.2022.119278.
Xiang Zhang*. Incremental production urban public green space: a building typology approach, Buildings 2022, 12(9), 1330. https://doi.org/10.3390/buildings12091330.
Xiang Zhang*, Katia Ritosa, Dirk Saelens, and Staf Roels. Comparing statistical modelling techniques for heat loss coefficient estimation from on-site measured data, J. Phys. Conf. Ser. 2021, 2069, 12101. https://doi:10.088/1742-6596/2069/1/012101.