RESEARCH ON CONFIGURATION OPTIMIZATION OF SOLAR HEAT STORAGE AND SUPPLY SYSTEM BASED ON NSGA-&#x02161; ALGORITHM

Fan Man; Shi Zhengping; Liu Yingshan; Kong Xiangfei; Li Han; Yuan Jianjuan

doi:10.19912/j.0254-0096.tynxb.2024-1724

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (2) : 188-194. DOI: 10.19912/j.0254-0096.tynxb.2024-1724

RESEARCH ON CONFIGURATION OPTIMIZATION OF SOLAR HEAT STORAGE AND SUPPLY SYSTEM BASED ON NSGA-Ⅱ ALGORITHM

Fan Man¹, Shi Zhengping¹, Liu Yingshan^1,2, Kong Xiangfei¹, Li Han¹, Yuan Jianjuan¹

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Abstract

To synergistically optimize the solar heat storage and supply system, a system energy consumption model was established using TRNSYS software for an expressway serving area building. Taking economy and comfort as objective functions and thermal comfort zones as constraints, a Pareto optimal solution set for the system configurations was obtained. Subsequently, the optimal configuration was determined using the TOPSIS entropy weight method. Compared to the initial design parameters group, under the premise of meeting the requirements of thermal comfort, the system’s annual life cycle cost is decreased by 18.58% and the COP is increased by 27.64%, offering dual advantages of saving investment and operating costs.

Key words

solar heating / phase change materials / multi-objective optimization / NSGA-Ⅱ algorithm / TOPSIS entropy weight method

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Fan Man, Shi Zhengping, Liu Yingshan, Kong Xiangfei, Li Han, Yuan Jianjuan. RESEARCH ON CONFIGURATION OPTIMIZATION OF SOLAR HEAT STORAGE AND SUPPLY SYSTEM BASED ON NSGA-Ⅱ ALGORITHM[J]. Acta Energiae Solaris Sinica. 2026, 47(2): 188-194 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1724

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