MOOSAS–A systematic solution for multiple objective building performance optimization in the early design stage

There is great potential for building performance optimization (BPO) in the early design stage, but there is still a lack of methods, algorithms, and tools to support the BPO process in this stage. Through a comprehensive review, this study identified three critical issues that affect the implementation of the BPO process in the early design stage: model integration, real-time performance analysis, and interactive optimization design. This study provides a systematic solution to these three critical issues. In terms of model integration, a feature-based and graph-based 3D building space recognition algorithm is proposed to automatically convert the computer-aided design (CAD model) into a computer-aided engineering model (CAE model). In terms of real-time performance analysis, a simplified physical method, an HPC-accelerated method, and an AI-based method are explored, and a real-time energy modeling module …

Recommended citation: Lin, Borong, Hongzhong Chen, Qiong Yu, Xiaoru Zhou, Shuai Lv, Qiushi He, and Ziwei Li. "MOOSAS–A systematic solution for multiple objective building performance optimization in the early design stage." Building and Environment 200 (2021): 107929.
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