建筑方案阶段绿色性能优化目标的设定方法
摘要：建筑方案的设计决策是提高建筑性能的关键，性能目标的选取与设定是建立优化逻辑的前提。各性能指标之间存在的相互作用和相互矛盾，使建筑性能的优化变得极为困难。根据外部气候和场地环境特点，以及建筑内部功能的差异化要求，分析性能目标的选择范围。从优化潜力、可操作性和形态敏感性的角度分析目标的选择优先级，提供优化目标的具体实例并简化多目标，从而探索设计决策的方法。
关键词：建筑性能 多目标优化 性能目标 优化设计
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参考文献[1]清华大学建筑节能研究中心.中国建筑节能年度发展研究报告，2014[M].北京：中国建筑工业出版社，2014.
[2]姚佳伟，陈侃，郑晓薇，等.环境性能导向的建筑数字设计研究[J].建筑技艺，2019(9):58-63.
[3]袁栋，孙澄.多目标优化在建筑表皮设计中的应用[J].城市建筑，2018(17).
[4]孙澄，韩昀松.光热性能考虑下的严寒地区办公建筑形态节能设计研究[J].建筑学报，2016(2):38-42.
[5]孙澄，韩昀松.绿色性能导向下的建筑数字化节能设计理论研究[J].建筑学报，2016(11):89-93.
[6]Shi X, Tian Z, Chen W, et al. A review on building energy efficient design optimization from the perspective of architects[J]. Renewable and Sustainable Energy Reviews,2016, 65:872-884.
[7]Evins R. A review of computational optimisation methods applied to sustainable building design[J]. Renewable and Sustainable Energy Reviews, 2013,22:230-245.
[8]刘加平，高瑞，成辉.绿色建筑的评价与设计[J].南方建筑，2015(2):4-8.
[9]李涛.基于性能表现的中国绿色建筑评价体系研究[D].天津：天津大学，2012.
[10] Ekici B,Cubukcuoglus C,Turrin M, et al. Performative computational architecture using swarm and evolutionary optimization:A review[J]. Building and Environment, 2019,147:356-371.
[11]根里奇·斯拉维奇·阿奇舒勒.创新算法：TRIZ、系统创新和技术创造力[M].武汉：华中科技大学出版社，2008.
[12]谢涛，陈火旺.多目标优化与决策问题的演化算法[J].中国工程科学，2002:1-94.
[13] Tian W, Song J, Li Z, et al. Bootstrap techniques for sensitivity analysis and model selection in building thermal performance analysis[J]. Applied Energy, 2014, 135:320-328.
[14] Nguyen A T, Reiter S. A performance comparison of sensitivity analysis methods for building energy models[J].Building Simulation,2015(6):651-664.
[15]Mastrucci A, Perez-Lopez P, Benetto E, et al. Global sensitivity analysis as a support for the generation of simplified building stock energy models[J]. Energy&Buildings, 2017,149:368-383.
[2]姚佳伟，陈侃，郑晓薇，等.环境性能导向的建筑数字设计研究[J].建筑技艺，2019(9):58-63.
[3]袁栋，孙澄.多目标优化在建筑表皮设计中的应用[J].城市建筑，2018(17).
[4]孙澄，韩昀松.光热性能考虑下的严寒地区办公建筑形态节能设计研究[J].建筑学报，2016(2):38-42.
[5]孙澄，韩昀松.绿色性能导向下的建筑数字化节能设计理论研究[J].建筑学报，2016(11):89-93.
[6]Shi X, Tian Z, Chen W, et al. A review on building energy efficient design optimization from the perspective of architects[J]. Renewable and Sustainable Energy Reviews,2016, 65:872-884.
[7]Evins R. A review of computational optimisation methods applied to sustainable building design[J]. Renewable and Sustainable Energy Reviews, 2013,22:230-245.
[8]刘加平，高瑞，成辉.绿色建筑的评价与设计[J].南方建筑，2015(2):4-8.
[9]李涛.基于性能表现的中国绿色建筑评价体系研究[D].天津：天津大学，2012.
[10] Ekici B,Cubukcuoglus C,Turrin M, et al. Performative computational architecture using swarm and evolutionary optimization:A review[J]. Building and Environment, 2019,147:356-371.
[11]根里奇·斯拉维奇·阿奇舒勒.创新算法：TRIZ、系统创新和技术创造力[M].武汉：华中科技大学出版社，2008.
[12]谢涛，陈火旺.多目标优化与决策问题的演化算法[J].中国工程科学，2002:1-94.
[13] Tian W, Song J, Li Z, et al. Bootstrap techniques for sensitivity analysis and model selection in building thermal performance analysis[J]. Applied Energy, 2014, 135:320-328.
[14] Nguyen A T, Reiter S. A performance comparison of sensitivity analysis methods for building energy models[J].Building Simulation,2015(6):651-664.
[15]Mastrucci A, Perez-Lopez P, Benetto E, et al. Global sensitivity analysis as a support for the generation of simplified building stock energy models[J]. Energy&Buildings, 2017,149:368-383.
Research on Performance Optimization Objective Setting Process in Architectural Scheme Phase
Abstract: Design decisions in the architectural scheme phase are essential for building performance improvement, but various performance indicators interact with each other or contradict each other, which makes it extremely difficult to optimize. The selection and reasonable setting of performance objectives is the premise of establishing optimization logic. This paper analyzes the selection range of performance objective based on the external climate and site environment characteristics, and the differentiated requirements of the building's internal functions. Analyze objective selection priorities from the perspective of optimization potential, operability, and morphological sensitivity. It also gives examples of optimization objective ingresses, and the method of simplifying Multi-objective for supporting the design decision.
Keywords: building performance; multi-objective optimization; performance objective; optimization design;
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