Jaqueline Litardo, Rubén Hidalgo-León, J. Macías, K. Delgado, Guillermo Soriano
{"title":"Estimating energy consumption and conservation measures for ESPOL Campus main building model using EnergyPlus","authors":"Jaqueline Litardo, Rubén Hidalgo-León, J. Macías, K. Delgado, Guillermo Soriano","doi":"10.1109/CONCAPANXXXIX47272.2019.8976931","DOIUrl":null,"url":null,"abstract":"This paper presents the development of an energy model of the ESPOL campus main building, in order to estimate, diagnose, and evaluate the electrical energy consumption and also, to propose energy conservation measures (ECMs). This model used simulation tools, such as OpenStudio and EnergyPlus. The final model provides results as the annual energy performance of the building by end-use, the annual utility bill, and others. These results allowed to model some scenarios of ECMs of the building, mainly, aimed to improve lighting and air-conditioning systems. Finally, the greenhouse gas (GHG) emissions generated by each scenario were calculated and analyzed.","PeriodicalId":272652,"journal":{"name":"2019 IEEE 39th Central America and Panama Convention (CONCAPAN XXXIX)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 39th Central America and Panama Convention (CONCAPAN XXXIX)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONCAPANXXXIX47272.2019.8976931","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This paper presents the development of an energy model of the ESPOL campus main building, in order to estimate, diagnose, and evaluate the electrical energy consumption and also, to propose energy conservation measures (ECMs). This model used simulation tools, such as OpenStudio and EnergyPlus. The final model provides results as the annual energy performance of the building by end-use, the annual utility bill, and others. These results allowed to model some scenarios of ECMs of the building, mainly, aimed to improve lighting and air-conditioning systems. Finally, the greenhouse gas (GHG) emissions generated by each scenario were calculated and analyzed.