Development and Application of Decision Support Model for the Performance Optimization of Office Buildings Based on Grasshopper

• 作者: Hui Ren Shoulong Wang
• 来源期刊: 哈尔滨工业大学学报（英文版）
• 年，卷（期）: 2021,（4）
• 页码范围: 1-15
• 页数: 15页
• 分类号: TU243.1
• 语种: 英文

摘要

With the expansion of the office building area, the energy consumption of office buildings is growing. High?performance building design contributes to energy saving and the development of green buildings. However, there is a lack of high?performance building tools and the workflow is often time?consuming. The building performance simulation, multiple objective optimizations, and the decision support model are the new approaches of high?performance building design. This paper proposes a newly developed decision support model, a high?performance building decision model named HPBuildingDSM, which integrates the building performance simulation, building performance multiple objective optimizations, building performance sampling, and parameter sensitivity analysis to design high?performance office buildings. In this research, the HPBuildingDSM was operated to search for the desirable office building design results with low?energy and high?quality daylighting performances. The simulated results had better daylighting performance and lower energy consumption, whose UDI100-2000 was 37. 94％ and annual energy consumption performance was 76. 28 kWh/( m2 · a ) , indicating a better building performance than the optimized results in the previous case study.