摘要
针对光伏一体化太阳能热泵热水器(PV-SAHPWH)的实时变容量控制开展模拟和试验研究,开发实时变容量控制系统实现在预定时间内完成制热水任务、降低能耗和提高系统净发电量的目的;建立光伏一体化太阳能热泵系统数学模型,并在南京搭建集热面积为4.32m2、含1匹R22工质压缩机和150L保温水箱的光伏一体化太阳能热泵试验样机,使用经定频运行试验验证的仿真程序构建系统全年运行性能数据库,并得出控制策略表;在实时变容量试验中,变频压缩机调节系统容量,同时电子膨胀阀控制蒸发器出口过热度实现实时变容量控制。研究结果表明:实时变容量控制方式所得的性能系数和光伏发电量分别比其他控制方式高5.7%~9.4%和9.7%~12.4%,且能精确地在预定时间内完成制热水任务。
Experimental and simulation investigation of a photovoltaic integrated solar-assisted heat pump water heater(PV-SAHPWH)was researched,and a real-time variable capacity control system was developed to reduce the energy consumption of hot water production in a predetermined time and increase net electricity production.A simulation model of the PV-SAHPWH prototype was established and a PV-SAHPWH prototype was set up in Nanjing.The prototype includes4.32m^2 area of solar collectors using single silicon solar panels,one HP variable frequency compressor using refrigerant R22and a150L insulation tank.The simulation program was verified by the fixed-frequency operation test,and the annual performance data of the system were obtained through the simulation program and the control table of the prototype was set up.In the test,the time-varying capacity control was realized by adjusting the system capacity of the inverter compressor and controlling the superheat degree at the outlet of the solar collector by the electronic expansion valve.The results show that the coefficient of performance and the photovoltaic power generation under real-time control strategy can be increased by5.7%-9.4%and9.7%-12.4%,which are greater than other control strategy.Moreover,the heating period was controlled accurately within the scheduled time.
作者
何宏宇
李舒宏
董科枫
HE Hongyu;LI Shuhong;DONG Kefeng(School of Energy and Environment, Southeast University, Nanjing 210096, China)
出处
《中南大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2018年第12期3095-3104,共10页
Journal of Central South University:Science and Technology
基金
"十二五"国家科技支撑计划项目(2014BAJ01B05)
"十三五"国家科技支撑计划项目(2017YFC0702501)~~
关键词
太阳能热泵
实时变容量控制
控制策略
solar-assisted heat pump
real-time variable capacity control
control strategy