Development of a Mobile Application for Building Energy Prediction Using Performance Prediction Model
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Yu-Ri | - |
dc.contributor.author | Kang, Hae Jin | - |
dc.date.accessioned | 2023-03-08T17:52:07Z | - |
dc.date.available | 2023-03-08T17:52:07Z | - |
dc.date.issued | 2016-03 | - |
dc.identifier.issn | 1996-1073 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/64310 | - |
dc.description.abstract | Recently, the Korean government has enforced disclosure of building energy performance, so that such information can help owners and prospective buyers to make suitable investment plans. Such a building energy performance policy of the government makes it mandatory for the building owners to obtain engineering audits and thereby evaluate the energy performance levels of their buildings. However, to calculate energy performance levels (i.e., asset rating methodology), a qualified expert needs to have access to at least the full project documentation and/or conduct an on-site inspection of the buildings. Energy performance certification costs a lot of time and money. Moreover, the database of certified buildings is still actually quite small. A need, therefore, is increasing for a simplified and user-friendly energy performance prediction tool for non-specialists. Also, a database which allows building owners and users to compare best practices is required. In this regard, the current study developed a simplified performance prediction model through experimental design, energy simulations and ANOVA (analysis of variance). Furthermore, using the new prediction model, a related mobile application was also developed. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | MDPI | - |
dc.title | Development of a Mobile Application for Building Energy Prediction Using Performance Prediction Model | - |
dc.type | Article | - |
dc.identifier.doi | 10.3390/en9030160 | - |
dc.identifier.bibliographicCitation | ENERGIES, v.9, no.3 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000373625500066 | - |
dc.identifier.scopusid | 2-s2.0-84962815820 | - |
dc.citation.number | 3 | - |
dc.citation.title | ENERGIES | - |
dc.citation.volume | 9 | - |
dc.type.docType | Article | - |
dc.publisher.location | 스위스 | - |
dc.subject.keywordAuthor | energy performance certification | - |
dc.subject.keywordAuthor | mobile application | - |
dc.subject.keywordAuthor | energy simulation | - |
dc.subject.keywordAuthor | analysis of variance (ANOVA) | - |
dc.subject.keywordAuthor | prediction model | - |
dc.relation.journalResearchArea | Energy & Fuels | - |
dc.relation.journalWebOfScienceCategory | Energy & Fuels | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.