光伏/光热耦合空气源热泵系统性能优化

doi:10.3969/j.issn.2097-0706.2024.04.005

摘要/Abstract

摘要：

为探究某地区光伏/光热耦合空气源热泵供暖系统的运行性能，采用实测与建立模型数值分析相结合的方法，对冬季供暖系统在典型日运行下发电量、耗电量、供暖效果以及总投资费用进行分析和讨论。首先，建立Trnsys仿真模型，利用该模型对供暖季进行模拟计算及实例验证；其次，利用非支配排序遗传算法，将光伏/光热组件倾角、光伏组件与光伏/光热组件面积、空气源热泵制热量、储热水箱温度、蓄电池容积作为优化变量，以光伏系统发电量最高、供暖系统耗电量最低、系统初始投资最低为目标，在JEplus软件内进行多目标优化，提高该系统的运行性能。最优目标下的配置方案表明，在系统初始投资增加0.97万元的基础上，光伏发电总量增长了117.40%，系统耗电量降低了38.76%。

关键词: 光伏/光热, 空气源热泵, 多目标优化, 供暖, Trnsys软件

Abstract:

To explore the performance of photovoltaic/thermal（PV/T） systems coupled with air source heat pumps in certain regions， the daily electricity generation， daily power consumption， heating effect and total investment of a coupling system during heating season were analysed by experiments and numerical model analyses. Firstly， the simulation model was established by Trnsys， and the simulation results were compared with the experimental results. Secondly， the angle of PV/T modules， the area of PV/T modules， the heating capacity of the air source heat pump，hot water tank temperature， and the capacity of batteries were optimized by non-dominated sorting genetic algorithm（NSGA-II）.Taking the highest electricity generation of the PV system， the lowest power consumption of the heating system and the minimal initial investment of the coupling system as objectives， the performance of the coupling system was improved by the multi-objective optimization carried out in JEplus software. Finally， the configuration scheme after the optimization shows a 117.40% increase in the electricity generation of the PV system and a 38.76% decrease in the power consumption of the coupling system， with only additional 9 700 yuan in its initial investment.

Key words: photovoltaic/ thermal, air source heat pump, multi-objective optimization, heating, Trnsys software

中图分类号:

TK019

汤梓涵, 王帅杰, 鞠振河, 雷志奇. 光伏/光热耦合空气源热泵系统性能优化[J]. 综合智慧能源, 2024, 46(4): 34-41.

TANG Zihan, WANG Shuaijie, JU Zhenhe, LEI Zhiqi. Performance optimization of photovoltaic/thermal systems coupled with air source heat pumps[J]. Integrated Intelligent Energy, 2024, 46(4): 34-41.

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参数	数值
外墙厚度/m	0.34
外墙面积/m²	77.95
外墙总传热系数/[W·(m²·K)^-1]	0.5
外表面吸收率	0.8
外窗面积/m²	5.04
外窗总传热系数/[W·(m²·K)^-1]	2.17
人均散热量/(kJ·m^-2)	162
空气相对湿度/%	5
单位照明散热量/(kJ·m^-2)	9
单位用电器散热量/(kJ·m^-2)	8
换气频率/(次·h^-1)	0.5

参数	数值
额定功率/kW	2.4
额定制热量/kW	8.4
性能系数	3.50
工作范围/℃	-25~45

优化变量	范围
光伏组件倾角/(°)	20~60
光伏/光热组件面积/m²	4.6~17.8
空气源热泵制热量/kW	2.5~18.0
承压储热水箱容积/m³	0.46~1.78
蓄电池组容量/(kW·h)	5.20~38.9

优化变量	优化前数值	优化后数值
光伏组件倾角/(°)	51	36
光伏/光热组件面积/m²	7.78	17.70
光伏组件面积/m²	10.40	21.84
空气源热泵制热量/kW	6.3	5.0
承压储热水箱容积/m³	0.78	1.50
蓄电池组容量/(kW·h)	7.8	5.2