{"title":"Decision Support System in Establishing Energy Management System for the Engineering Building of Bulacan State University","authors":"Arjay R. Alba, Ronald Vincent M. Santiago","doi":"10.1109/HNICEM48295.2019.9073371","DOIUrl":null,"url":null,"abstract":"Bulacan State University (BulSU) is a state funded higher education institution in the Philippines located in the City of Malolos in Bulacan. It is observed that on the average, electricity consumption the University is increasing at a rate of 32.5% per annum. It is also noted that the University is lacking in Energy Management System (EnMS) which may help the University in reducing its annual energy consumption. The goal of this study is to design a multiple criteria decision support system in establishing EnMS based on ISO 50001 standards for the College of Engineering building of BulSU which may serve as archetype reference for the University-wide implementation of EnMS. The methodology is divided into five phases. Phase 1 is energy audit at the building under the study. The total energy audited is 59,443 kWh, 65% of which is due to air-conditioning system of the building followed by laboratory and office equipment (16%) and lighting (14%). Phase 2 is the design of EnMS which reveals the annual cost of implementing the system. Phase 3 simulates the reduction in energy when EnMS is implemented. Study reveals a decrease of 23.38% in energy use after five years implementation of the system. Phase 4 performs cost-benefit analysis using net present value (NPV) method and return of investment (ROI) method. NPV is at least Php 4 Million and ROI is found to be 4.2 years. Phase 5 identifies the different criteria that will help the University administration in their decision to support the implementation of the proposed EnMS. The proposed EnMS was presented to the top officials of the University and was graded using the multi-criteria decision support system as \"beneficial\".","PeriodicalId":6733,"journal":{"name":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","volume":"14 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HNICEM48295.2019.9073371","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
Bulacan State University (BulSU) is a state funded higher education institution in the Philippines located in the City of Malolos in Bulacan. It is observed that on the average, electricity consumption the University is increasing at a rate of 32.5% per annum. It is also noted that the University is lacking in Energy Management System (EnMS) which may help the University in reducing its annual energy consumption. The goal of this study is to design a multiple criteria decision support system in establishing EnMS based on ISO 50001 standards for the College of Engineering building of BulSU which may serve as archetype reference for the University-wide implementation of EnMS. The methodology is divided into five phases. Phase 1 is energy audit at the building under the study. The total energy audited is 59,443 kWh, 65% of which is due to air-conditioning system of the building followed by laboratory and office equipment (16%) and lighting (14%). Phase 2 is the design of EnMS which reveals the annual cost of implementing the system. Phase 3 simulates the reduction in energy when EnMS is implemented. Study reveals a decrease of 23.38% in energy use after five years implementation of the system. Phase 4 performs cost-benefit analysis using net present value (NPV) method and return of investment (ROI) method. NPV is at least Php 4 Million and ROI is found to be 4.2 years. Phase 5 identifies the different criteria that will help the University administration in their decision to support the implementation of the proposed EnMS. The proposed EnMS was presented to the top officials of the University and was graded using the multi-criteria decision support system as "beneficial".