光伏幕墙辅助双源热泵系统在不同地区的多目标优化配置
MULTI-OBJECTIVE OPTIMIZATION OF PHOTOVOLTAIC CURTAIN WALL ASSISTED DUAL-SOURCE HEAT PUMP SYSTEM IN DIFFERENT REGIONS
常莎莎 1冯国会 1黄凯良 1张磊 1刘馨 1王茜如1
作者信息
- 1. 沈阳建筑大学市政与环境工程学院,沈阳 110168
- 折叠
摘要
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引用本文复制引用
基金项目
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)
出版年
2024
NETL
NSTL
万方数据