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Multi-objective optimization of thermochromic glazing based on daylight and energy performance evaluation

基于日光和精力表演评估呆滞的 thermochromic 的多客观的优化

作     者:Xiaoqiang Hong Feng Shi Shaosen Wang Xuan Yang Yue Yang Xiaoqiang Hong;Feng Shi;Shaosen Wang;Xuan Yang;Yue Yang

作者机构:School of Architecture and Civil EngineeringXiamen UniversityXiamen361005China School of Mechanical Engineering and AutomationHarbin Institute of TechnologyShenzhen518055China 

出 版 物:《Building Simulation》 (建筑模拟(英文))

年 卷 期:2021年第14卷第6期

页      面:1685-1695页

核心收录:

学科分类:08[工学] 081304[工学-建筑技术科学] 0813[工学-建筑学] 

基  金:This work was supported by the National Natural Science Foundation of China(No.51878581 and No.51778549) the Fundamental Research Funds for the Central Universities(No.20720200087) 

主  题:thermochromic transition temperature daylighting building energy performance multi-objective optimization 

摘      要:Many efforts have been detected to investigate thermochromic(TC)glazing for improving building energy saving,while only a few approaches for daylight performance *** this study,the performance of TC glazing is investigated based on multi-objective optimization for minimizing energy demand while maximizing daylight *** effects of five parameters including transition temperature,solar transmittance in clear state,solar transmittance modulation ability,luminous transmittance in clear state,and luminous modulation ability on the building energy consumption and useful daylighting illuminance(UDI_(300-3000))are *** Programming Technique for Multi-dimensional Analysis of Preference(LINMAP)is used for the decision-making of Pareto *** research aims to explore the ideal thermochromic glazing by considering the daylight and energy performance of a typical office room,taking the weather condition of Xiamen,China as an *** it is impossible to achieve both optimal values of energy consumption and UDI_(300-3000)simultaneously,the proposed multi-objective optimization method could still provide low energy consumption with sufficient *** non-dominated sorting of Pareto optimal solution(POS)demonstrated that the optimum building energy consumption and UDI_(300-3000)for single glazed windows are 46.64 kWh/m^(2)and 70.92%,respectively,while the values for double glazed windows are 44.40 kWh/m^(2)and 71.88%,*** selected hypothetical TC windows can improve the building energy and daylighting performance simultaneously when compared with traditional clear single and double glazed *** presented framework provides a multi-objective optimization method to determine the most suitable TC glazing technologies for designers and architects during the design and retrofit procedure.

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