基于零能耗约束的拉萨市主被动太阳能组合供暖协同优化设计研究
张亚亚1,刘艳峰1,2,陈耀文1,2,车 韧3,周立军3

(1.西安建筑科技大学 建筑设备科学与工程学院,陕西 西安 710055; 2.西部绿色建筑国家重点实验室,陕西 西安 710055; 3.拉萨市设计集团有限公司,西藏 拉萨 850030)

零能耗建筑; 直接受益窗; 太阳能供暖系统; 协同优化; 遗传算法

Optimization design of active and passive solar combined heatingin Lhasa based on zero energy consumption constraint
ZHANG Yaya1, LIU Yanfeng1,2, CHEN Yaowen1,2, CHE Ren3, ZHOU Lijun3

(1.School of Building Services Science and Engineering, Xi'an Univ. of Arch. & Tech., Xi'an 710055, China; 2.State Key Laboratory of Green Building in Western China, Xi'an 710055, China; 3.Lhasa Municipality Desigh Group Co., Ltd., Lhasa 850030, China)

zero energy buildings; direct benefit window; solar heating system; collaborative optimization; genetic algorithm

DOI: 10.15986/j.1006-7930.2021.06.004

备注

该研究针对太阳能被动建筑供暖与主动供暖系统之间的相关性和相互反馈作用,建立了以建筑及系统总成本最低为优化目标,以建筑零能耗运行为约束条件的太阳能主被动供暖系统协同优化模型.以拉萨地区某2层民居建筑为例,得到了不同供暖时长保证率下建筑与太阳能供暖系统的最佳设计参数组合,并对优化后的建筑能耗及成本分摊比例进行分析,最后对不同价格参数进行了敏感性分析,结果表明:建筑设计、建筑保温、直接受益窗、太阳能系统各部分建筑能耗分摊比例分别约为7%、60%、17%和16%; 而建筑保温、直接受益窗、太阳能系统各部分成本分摊比例分别约为30%、40%和30%.研究可为拉萨市直接受益窗式被动建筑与太阳能主动供暖系统工程优化设计提供依据.
In this study, aiming at the correlation and mutual feedback between solar passive building heating and solar active heating system, a collaborative optimization model of solar active and passive heating system is established with the minimum total cost of buildings and systems as the optimization objective and the zero energy consumption operation of buildings as the constraint condition. Taking a two-story residential building in Lhasa as an example, the optimal design parameters of building and solar heating system under different heating guarantee rates are obtained, and the optimized building energy consumption and cost sharing ratio are analyzed. Finally, the sensitivity analysis of different price parameters is carried out. The results show that the building energy consumption sharing ratios of architectural design, building insulation, direct benefit window and solar system are about 7%, 60%, 17% and 16%, respectively. The cost sharing ratios of building insulation, direct benefit window and solar system are about 30%, 40% and 30%, respectively. The research can provide a basis for the engineering optimization design of direct-benefit window passive building and solar active heating system in Tibetan Plateau.