Olasupo O. Ajayi, Sola E. Edagbami, Victor Odumuyiwa, C. Uwadia
{"title":"A conceptual framework for a campus power management system based on lecture schedules","authors":"Olasupo O. Ajayi, Sola E. Edagbami, Victor Odumuyiwa, C. Uwadia","doi":"10.1109/POWERAFRICA.2017.7991231","DOIUrl":null,"url":null,"abstract":"Intelligent building energy management systems or smart building are gaining increasing attention amongst researchers and the society at large. There is an ever growing clamor for energy conservation both with a view of reducing carbon footprint and conserving natural resources. Recent reports have shown that buildings account for a large percentage of energy consumed in any given society; therefore managing power usage within buildings would go a long way in solving energy conservation challenges. Intelligent or smart building energy management systems have thus emanated in recent years as a potential answer. In this paper, a conceptual framework for the management of energy consumption within a building is presented. A department within a University is used as a case study and analytical simulations are done using the proposed framework which is based on lecture schedules. Obtained results show that if deployed, the proposed framework can result in energy savings of up to 25% daily.","PeriodicalId":6601,"journal":{"name":"2017 IEEE PES PowerAfrica","volume":"5 1","pages":"242-247"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE PES PowerAfrica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/POWERAFRICA.2017.7991231","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Intelligent building energy management systems or smart building are gaining increasing attention amongst researchers and the society at large. There is an ever growing clamor for energy conservation both with a view of reducing carbon footprint and conserving natural resources. Recent reports have shown that buildings account for a large percentage of energy consumed in any given society; therefore managing power usage within buildings would go a long way in solving energy conservation challenges. Intelligent or smart building energy management systems have thus emanated in recent years as a potential answer. In this paper, a conceptual framework for the management of energy consumption within a building is presented. A department within a University is used as a case study and analytical simulations are done using the proposed framework which is based on lecture schedules. Obtained results show that if deployed, the proposed framework can result in energy savings of up to 25% daily.