为协同优化太阳能蓄供热系统的舒适性和经济性,以高速公路某服务区建筑为研究对象,利用TRNSYS软件建立系统能耗模型。以经济性和舒适性为目标函数,热舒适分区为约束条件,得到系统设计参数的Pareto最优解集,再利用TOPSIS熵权法得到最优设计参数组。与初始设计参数组对比,在热舒适性均满足要求的前提下,系统年生命周期成本降低18.58%、COP提高27.64%,具有节省投资和运行费用的双重优势。
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.
关键词
太阳能供热 /
相变材料 /
多目标优化 /
NSGA-Ⅱ算法 /
TOPSIS熵权法
Key words
solar heating /
phase change materials /
multi-objective optimization /
NSGA-Ⅱ algorithm /
TOPSIS entropy weight method
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基金
国家自然科学基金（52408109）; 河北省自然科学基金（E2024202077); 中央引导地方科技发展资金项目（246Z4510G）; 河北省博士后重点科研项目（B2022005004）
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