为克服单一可再生能源应用的局限性,提出一种光伏幕墙辅助双源热泵系统。利用TRNSYS建立仿真模型,以系统能耗和生命周期成本为目标函数,采用非支配排序遗传算法（NSGA-Ⅱ）,对不同地区系统配置规模进行多目标优化设计,并利用加权和法确定均衡解。结果表明：哈尔滨、长春、沈阳3个地区优化后的系统运行能耗比优化前分别增加5.9%、5.0%和3.9%,生命周期成本降低13.6%、17.1%和12.9%;与单目标优化相比,多目标优化在兼顾性能的前提下能明显降低生命周期成本,具有明显的优势。
Abstract
To overcome the limitation of single renewable energy applications in cold regions, a photovoltaic curtain wall assisted dual-source heat pump system is proposed. A system simulation model was established by TRNSYS. Taking the energy consumption and life cycle cost of the system as objective functions, the multi-objective optimization design of the configuration scale of the proposed system in different regions was carried out by using non-dominated sorting genetic algorithm （NSGA-Ⅱ）, and the equilibrium solution was determined by using weighted sum method. The results show that the energy consumption of the optimized system in Harbin, Changchun and Shenyang increases by 5.9%, 5.0% and 3.9%, respectively, and the life cycle cost decreases by 13.6%, 17.1% and 12.9%. Compared with single objective optimization, multi-objective optimization can significantly reduce the life cycle cost while taking into account the performance, and has obvious advantages.
关键词
热泵系统 /
光伏组件 /
多目标优化 /
光伏幕墙 /
生命周期 /
决策
Key words
heat pump systems /
photovoltaic modules /
multiobjective optimization /
PV curtain wall /
life cycle /
decision making
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基金
国家自然科学基金（51778376）; 辽宁省教育厅面上项目（LJKZ0577）; 沈阳市科技计划（21-108-9-03）
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