基于模拟的多目标优化方法在近零能耗建筑性能优化设计中的应用  

A Simulation-based Multi-objective Optimization Approach for Design of Nearly Zero Energy Buildings

作　　者：余镇雨 路菲 邹瑜 徐伟 孙德宇 刘常平 YU Zhenyu;LU Fei;ZOU Yu;XU Wei;SUN Deyu;LIU Changping(China Academy of Building Research y Institute of Building Energy and Efficiency,Beijing 100013,China)

机构地区：[1]中国建筑科学研究院有限公司建筑环境与能源研究院

出　　处：《建筑科学》2019年第10期8-15,共8页Building Science

基　　金：“十三五”国家重点研发计划项目“近零能耗建筑技术体系及关键技术开发”(2017YFC0702600)

摘　　要：基于模拟的多目标优化设计方法将多目标非支配排序遗传算法(NSGA-II)和建筑能耗模拟软件TRNSYS耦合在同一平台,可实现近零能耗建筑性能优化。本文利用该方法以某典型高层居住建筑为实例进行了多目标优化计算,分析了多目标算法相对于单目标算法的优越性,给出了不同气候区典型城市多目标优化均衡解,为近零能耗居住建筑参数选择提供了参考。最后,分析了算法参数对优化结果的影响,得到平衡计算量与计算结果可靠度的最佳算法参数。The simulation-based multi-objective optimization approach combines the non-dominated sorting genetic algorithm(NSGA-II)with building energy simulation software TRNSYS to obtain optimal building energy performance.Optimization is carried out in a typical high-rise residential building with the multi-objective approach in this paper,through which,the superiority of multi-objective optimization approach over mono-objective approach is demonstrated.Optimization results in different cities are compared to provide reference information for schemes of nearly zero energy residential buildings.At the last part,by analyzing the influence of algorithm parameters on the optimization results,an optimum is reached for balancing the calculation load and reliability of results.

关 键 词：近零能耗建筑 全寿命期成本 全寿命期一次能耗 多目标优化 多重准则决策 

分 类 号：TU119.195[建筑科学—建筑理论]