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投稿时间：2022-04-02
投稿时间：2022-04-02
中文摘要: 针对太阳能光伏制冷系统使用过程存在的供需不匹配现象,充分利用建筑本身的热惰性和蓄热属性,展开基于建筑虚拟储能的供需匹配性研究。首先,基于DeST建立了上海地区典型办公建筑,在完成可靠性验证的基础上,设计了太阳能光伏制冷系统并预测了典型日光伏阵列的逐时发电量。然后,确定了虚拟储能的充放时间和对建筑负荷的消减情况,并基于虚拟储能技术对制冷机电耗进行了优化,采用本址供能满足负荷占比(OEF)以及本址供能满足自消费占比(OEM)2个评价指标对系统供需匹配进行评价。结果表明:采用虚拟储能后,系统OEF从75.76%提升到86.54%,OEM从75.73%提升到91.05%,当日最大余量电量消减幅度可达54.81%。
Abstract:Aiming at the mismatch between supply and demand in the use of solar photovoltaic refrigeration systems,this paper makes full use of the thermal inertia and heat storage properties of the building itself,and conducts a research on the matching of supply and demand based on building virtual energy storage.Firstly,a typical office building in Shanghai was established based on DeST.After completing the reliability verification,the solar photovoltaic cooling system was designed and the hourly power generation of the photovoltaic array was predicted.After that,the charging and discharging time of virtual energy storage and the reduction of building load were determined,and the power consumption of refrigerators was optimized based on virtual energy storage technology.The energy supply of this site meets the self-consumption ratio (On-site energy matching,OEM) two evaluation indicators to evaluate the supply and demand matching of the system.The results show that after using virtual energy storage:system OEF=86.54%,OEM=91.05%,while the original The system OEF=75.76%,OEM=75.73%,the maximum remaining power reduction on the day can reach 54.81%.
keywords: solar photovoltaic cooling system energy consumption simulation photovoltaic forecasting virtual energy storage supply and demand matching
文章编号：20226016 中图分类号：TK01+9 文献标志码：
基金项目:
| 作者 | 单位 | |
| 刘青荣 | 上海电力大学 能源与机械工程学院 | liuqingrong@shiep.edu.cn |
| 叶家盛 | 上海电力大学 能源与机械工程学院 | |
| 阮应君 | 同济大学 机械与能源工程学院 | |
| 钱凡悦 | 同济大学 机械与能源工程学院 | |
| 孟华 | 同济大学 机械与能源工程学院 |
引用文本：
刘青荣,叶家盛,阮应君,等.基于建筑虚拟储能的太阳能光伏制冷系统供需匹配性研究[J].上海电力大学学报,2022,38(6):610-616.
LIU Qingrong,YE Jiasheng,RUAN Yingjun,et al.Research on Supply and Demand Matching of Solar Photovoltaic Refrigeration System Based on Building Virtual Energy Storage[J].Journal of Shanghai University of Electric Power,2022,38(6):610-616.
刘青荣,叶家盛,阮应君,等.基于建筑虚拟储能的太阳能光伏制冷系统供需匹配性研究[J].上海电力大学学报,2022,38(6):610-616.
LIU Qingrong,YE Jiasheng,RUAN Yingjun,et al.Research on Supply and Demand Matching of Solar Photovoltaic Refrigeration System Based on Building Virtual Energy Storage[J].Journal of Shanghai University of Electric Power,2022,38(6):610-616.