Detailed Information

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

제조업체의 에너지성과지표 고도화에 관한 연구

Full metadata record
DC Field Value Language
dc.contributor.author노경완-
dc.contributor.author송명호-
dc.date.accessioned2024-08-08T02:30:43Z-
dc.date.available2024-08-08T02:30:43Z-
dc.date.issued2015-10-
dc.identifier.issn1598-6411-
dc.identifier.issn2508-3562-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/16200-
dc.description.abstractIt is important to improve the energy performance in the industrial sector, and therefore most of the manufacturing companies need the energy performance indicators to identify the target and to verify the energy savings. However, the conventional energy performance indicators such as the total energy consumption and the energy intensity are not proper to use. The reason is that they do not consider adequate relevant variables including productions in the boundary of the manufacturing companies. Therefore, the study provides the advanced energy performance indicator using by the linear regression model according to each energy source to manage the target and to verify the energy performance properly.-
dc.format.extent8-
dc.language한국어-
dc.language.isoKOR-
dc.publisher한국태양에너지학회-
dc.title제조업체의 에너지성과지표 고도화에 관한 연구-
dc.title.alternativeA Study on the Development of the Advanced Energy Performance Indicator for the Manufacturing Companies-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation한국태양에너지학회 논문집, v.35, no.5, pp 31 - 38-
dc.citation.title한국태양에너지학회 논문집-
dc.citation.volume35-
dc.citation.number5-
dc.citation.startPage31-
dc.citation.endPage38-
dc.identifier.kciidART002045018-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthor에너지성과지표-
dc.subject.keywordAuthor에너지사용총량-
dc.subject.keywordAuthor에너지원단위-
dc.subject.keywordAuthor선형회귀모델-
dc.subject.keywordAuthor경계-
dc.subject.keywordAuthor영향인자-
dc.subject.keywordAuthorEnergy performance indicator-
dc.subject.keywordAuthorTotal energy consumption-
dc.subject.keywordAuthorEnergy intensity-
dc.subject.keywordAuthorLinear regression model-
dc.subject.keywordAuthorBoundary-
dc.subject.keywordAuthorRelevant variables-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Mechanical, Robotics and Energy Engineering > 1. Journal Articles

qrcode

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

Altmetrics

Total Views & Downloads

BROWSE