Building performance assessment under climate change

This research direction focuses on the dual impacts of climate change and urban heat island effect on building energy efficiency. By proposing a fast generation technique of urban microclimate data based on map crawling and clustering, the model prediction accuracy is significantly improved. Further, a parametric coupled simulation prediction method integrating Global Climate Models (GCMs) and the urban heat island effect at the city block scale is proposed, which significantly improves the accuracy of future microclimate prediction in typical cities such as Beijing, Shenzhen, and Shanghai [1]. In addition, the impacts of global climate change on building energy consumption in different climate zones [2], [3] and the role of neighborhood morphology on building energy consumption [4] have also been systematically investigated. These works have improved the science and accuracy of climate change impact assessment in the building sector through the development of multifactor coupled building energy consumption prediction methods and efficient data support technologies.