Bo K. Yesel, Jonathan J. Eslinger, Michael Nord, D. Selvaraj, P. Ranganathan
{"title":"Feasibility Study of Solar Energy System at the University of North Dakota","authors":"Bo K. Yesel, Jonathan J. Eslinger, Michael Nord, D. Selvaraj, P. Ranganathan","doi":"10.1109/NAPS46351.2019.9000206","DOIUrl":null,"url":null,"abstract":"This paper investigates the feasibility of using a solar photovoltaic system to partially supply the University of North Dakota's campus with electricity. A detailed analysis on the rooftop area for panel use and the costs for installation, operation, and maintenance is carried out using local average estimates. The historical power consumption and cost data from the university is used to create a forecasting model using Holt-Winters method to project future electricity usage and costs from electric companies. These forecasts have provided superior analysis over a longer timeframe. The cost benefits, or lack thereof, have been interpreted by comparing the total solar panel system expenses to savings attributed to a reduction in external power demand.","PeriodicalId":175719,"journal":{"name":"2019 North American Power Symposium (NAPS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 North American Power Symposium (NAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAPS46351.2019.9000206","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
This paper investigates the feasibility of using a solar photovoltaic system to partially supply the University of North Dakota's campus with electricity. A detailed analysis on the rooftop area for panel use and the costs for installation, operation, and maintenance is carried out using local average estimates. The historical power consumption and cost data from the university is used to create a forecasting model using Holt-Winters method to project future electricity usage and costs from electric companies. These forecasts have provided superior analysis over a longer timeframe. The cost benefits, or lack thereof, have been interpreted by comparing the total solar panel system expenses to savings attributed to a reduction in external power demand.