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| Abstract: |
| 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. |
| Key words: decision support model building performance simulation building performance optimization building performance simulation sensitivity analysis HPBuildingDSM tool |
| DOI：10.11916/j.issn.1005-9113.2019055 |
| Clc Number:TU243.1 |
| Fund: |
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| Descriptions in Chinese: |
| 基于Grasshopper的办公楼性能优化决策支持模型的开发与应用
任惠1，王守龙2
（1. 哈尔滨工业大学 建筑学院，哈尔滨 150001；
2.滨州大学 化学工程与安全系，山东 滨州 256600）
摘要：随着办公建筑面积的增加，办公建筑能耗不断增长。高性能建筑设计有助于节能和绿色建筑的发展。然而，目前高性能建筑设计工具缺乏，工作流程耗时。建筑性能仿真、多目标优化及决策支持模型是高性能建筑设计的新途径。本文提出了一种新的决策支持模型——高性能建筑设计决策模型（HPBuildingDSM），该模型整合了建筑性能仿真、建筑性能多目标优化等技术，将建筑性能采样与参设计参量敏感性分析进行结合，以设计高性能办公楼。本研究以高性能建筑设计决策模型（HPBuildingDSM）为工具，通过实践案例进行低能耗、高质量的办公建筑设计。
创新点说明：1）本研究通过Python编程法以及HUMAN UI、LADYBUG&HONEYBEE等插件将建筑性能模拟技术、设计参量敏感性分析技术及建筑性能多目标优化技术整合到Grashopper平台中以实现高性能建筑设计决策模型（HPBuildingDSM）的构建； 2）基于建筑性能模拟技术、建筑设计参量敏感性分析及建筑性能多目标优化等性能优化技术，设计出高性能建筑设计流程，并以此为基础构建高性能建筑设计决策模型（HPBuildingDSM）； 3）研究应用Python编程技术将Gradient Boosting算法置入Grasshopper电池块中以构建建筑设计参量敏感性分析模块，使得建筑性能模拟结果可直接输入至该模块实现建筑设计参量的敏感性分析以获得各种设计参量对建筑性能的敏感度； 4）基于设计所得的高性能建筑设计决策模型（HPBuildingDSM），对哈尔滨某办公建筑进行建筑性能优化，依托构建的高性能建筑设计决策模型（HPBuildingDSM）进行建筑性能优化设计，基于优化模型所得的性能优化方案较前人研究的性能优化方案性能得到有效提升，可验证研究构建的高性能建筑设计决策模型（HPBuildingDSM）具有较理想应用效果。 关键词：决策支持模型；建筑性能仿真；建筑性能优化；灵敏度分析；高性能建筑设计决策模型（HPBuildingDSM） |
