Coordinated optimal design of school building envelope and energy system. (15th September 2022)

• Record Type: Journal Article
• Authors: Xu, Yizhe; Yan, Chengchu; Wang, Dong; Li, Jun; Shi, Jingfeng; Lu, Zefeng; Lu, Qingsong; Jiang, Yanlong
• Is Part Of: Solar energy. Volume 244(2022)
• Page Start: 19
• Page End: 30
• Publication Date: 2022-09-15
• Subjects: Design optimization -- Photovoltaic power generation -- School building -- Building envelope -- Energy system; Solar energy -- Periodicals; Solar engines -- Periodicals; 621.47
• DOI: 10.1016/j.solener.2022.08.035
• Languages: English
• ISSNs: 0038-092X

Abstract

Highlights: A multi-objective coordinated design optimization method is presented. Trade off the energy, thermal comfort, daylighting, and life cycle cost. PV related variable is used as coordinated design variable. It combines NSGA-II algorithm and multi-attribute decision-making method. The global optimal design scheme is obtained by iterative optimization. Abstract: In the design of school buildings, it is necessary to trade off the effects of energy, thermal comfort, daylighting, and life cycle cost. In this paper, a multi-objective coordinated design optimization method of school buildings is proposed to realize the efficient global design optimization of school building envelopes and energy systems. The method is mainly divided into three modules: coordinated design variables, envelope optimization and energy system optimization. In the process of coordinated design optimization, through the iterative method based on multi-objective optimization of envelope, multi-attribute decision-making for Pareto scheme set and single-objective optimization of energy system, the error between the optimal values of the coordinated design variable of the envelop and the energy system is reduced, and finally the global optimal design scheme is obtained. The effectiveness of the proposed optimization method is verified by a case study. The results show that the proposed coordinated design optimization method is stable and reliable. Under the policy of selling electricity, the life cycle cost of the building energy system is -$665, 459.50 and the payback period is 6.12 years. Under the policy of not selling electricity, the life cycle cost of the building energy system is $75, 292.50, which is 2.75% lower than the traditional multi-stage optimization.