Al-Masri Hussein M. K., Taha Al-Asemi, Nasser Sabr, Khaled Almawari, Ahmad Abuelrub, M. Ehsani
{"title":"On-Grid Photovoltaic Energy System-A Case Study","authors":"Al-Masri Hussein M. K., Taha Al-Asemi, Nasser Sabr, Khaled Almawari, Ahmad Abuelrub, M. Ehsani","doi":"10.1109/SGRE53517.2022.9774138","DOIUrl":null,"url":null,"abstract":"An economic feasibility study of a grid-connected photovoltaic (PV) energy system, that is designed to meet the electrical load demand of Yarmouk University in Jordan, is investigated. The PVsyst commercial software is used to size the system elements. Various layouts and technical options are proposed. The major benefit of the system is shown to be reduction in the electricity cost. Four options are simulated based on peak sun hours (PSH) and the possible footprints on campus. The new designed systems can reduce the annual electricity cost by about 62.56% to 96.76S%. The case of 96.76S% PV system will save around 2.4 million JD per year with a payback period of 1.3 years.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"77 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"智能电网与可再生能源(英文)","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.1109/SGRE53517.2022.9774138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
An economic feasibility study of a grid-connected photovoltaic (PV) energy system, that is designed to meet the electrical load demand of Yarmouk University in Jordan, is investigated. The PVsyst commercial software is used to size the system elements. Various layouts and technical options are proposed. The major benefit of the system is shown to be reduction in the electricity cost. Four options are simulated based on peak sun hours (PSH) and the possible footprints on campus. The new designed systems can reduce the annual electricity cost by about 62.56% to 96.76S%. The case of 96.76S% PV system will save around 2.4 million JD per year with a payback period of 1.3 years.
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