Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Multiple power-based building energy management system for efficient management of building energy

Full metadata record
DC Field Value Language
dc.contributor.authorYoon, Seok-Ho-
dc.contributor.authorKim, Seung-Yeon-
dc.contributor.authorPark, Geon-Hee-
dc.contributor.authorKim, Yi-Kang-
dc.contributor.authorCho, Choong-Ho-
dc.contributor.authorPark, Byung-Hun-
dc.date.accessioned2021-09-02T06:09:11Z-
dc.date.available2021-09-02T06:09:11Z-
dc.date.created2021-06-16-
dc.date.issued2018-10-
dc.identifier.issn2210-6707-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/73014-
dc.description.abstractAs the significance of increased power consumption in modern society is emphasized, the need for technology to enhance energy efficiency is also increasing. The power consumption of buildings comprises a large proportion of the total energy consumption and systematic methods are needed in order to manage it effectively. This paper proposes a multiple power-based building energy management system (MPBEMS) for the efficient management of building energy. MPBEMS means a system that integrates and manages multiple power produced in one or more ways. The analysis of the big-data based power usage measured in different types of buildings utilizes the power distribution method between multiplepower sources. The paper also suggests and verifies an energy prediction model for efficient building energy management, called the Adaptive Energy Consumption Prediction (AECP) algorithm. This paper proposes a building energy management method using an energy prediction model and analyzes its efficiency by applying it to actual buildings. The result of the efficiency analysis using the proposed system shows an annual electricity rate reduction efficiency of 5%.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherELSEVIER-
dc.subjectSTORAGE TECHNOLOGIES-
dc.subjectPREDICTIVE CONTROL-
dc.subjectSELF-CONSUMPTION-
dc.subjectRENEWABLE ENERGY-
dc.subjectOPTIMIZATION-
dc.titleMultiple power-based building energy management system for efficient management of building energy-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Seung-Yeon-
dc.contributor.affiliatedAuthorCho, Choong-Ho-
dc.identifier.doi10.1016/j.scs.2018.08.008-
dc.identifier.scopusid2-s2.0-85051631997-
dc.identifier.wosid000443741600039-
dc.identifier.bibliographicCitationSUSTAINABLE CITIES AND SOCIETY, v.42, pp.462 - 470-
dc.relation.isPartOfSUSTAINABLE CITIES AND SOCIETY-
dc.citation.titleSUSTAINABLE CITIES AND SOCIETY-
dc.citation.volume42-
dc.citation.startPage462-
dc.citation.endPage470-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaConstruction & Building Technology-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalResearchAreaEnergy & Fuels-
dc.relation.journalWebOfScienceCategoryConstruction & Building Technology-
dc.relation.journalWebOfScienceCategoryGreen & Sustainable Science & Technology-
dc.relation.journalWebOfScienceCategoryEnergy & Fuels-
dc.subject.keywordPlusSTORAGE TECHNOLOGIES-
dc.subject.keywordPlusPREDICTIVE CONTROL-
dc.subject.keywordPlusSELF-CONSUMPTION-
dc.subject.keywordPlusRENEWABLE ENERGY-
dc.subject.keywordPlusOPTIMIZATION-
dc.subject.keywordAuthorBuilding energy management system-
dc.subject.keywordAuthorMultiple power-
dc.subject.keywordAuthorRenewable energy-
dc.subject.keywordAuthorEnergy saving system-
dc.subject.keywordAuthorEnergy forecasting-
dc.subject.keywordAuthorAdaptive energy consumption prediction-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Science and Technology > Department of Computer Convergence Software > 1. Journal Articles
Graduate School > Department of Computer and Information Science > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE