Citation Export
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Hye Gi | - |
dc.contributor.author | Kim, Sun Sook | - |
dc.date.issued | 2020-02-01 | - |
dc.identifier.issn | 1996-1073 | - |
dc.identifier.uri | https://aurora.ajou.ac.kr/handle/2018.oak/31234 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85082749210&origin=inward | - |
dc.description.abstract | In an effort to improve the energy efficiency of existing buildings, it is necessary to first evaluate the energy performance of those buildings. Since it is difficult to obtain detailed information on existing buildings, the challenge is how to conduct reliable energy performance assessments with this limited information. As a result, many countries have adopted evaluation systems based on measured energy consumption data for existing buildings. This study aims to analyze the building energy consumption and characteristics using Korea's national building database and provide an energy performance benchmark for continuous management of the energy performance of existing buildings. We analyzed the relationship between the basic statistical characteristics of the information collected from the national integrated energy database and energy consumption. The total floor area was found to be closely related to energy consumption, and various regression analysis methods were applied and compared to develop a benchmark to explain the trends of energy consumption according to the increase in total floor area. Finally, the developed benchmarks were used to evaluate energy consumption and examine the feasibility of the benchmarks. | - |
dc.description.sponsorship | Funding: This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF), and funded by the Ministry of Science, ICT & Future Planning (NRF-2017R1A2B4012057) Conflicts of Interest: The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. | - |
dc.language.iso | eng | - |
dc.publisher | MDPI AG | - |
dc.subject.mesh | Building energy | - |
dc.subject.mesh | Building energy consumption | - |
dc.subject.mesh | Energy benchmarks | - |
dc.subject.mesh | Energy performance | - |
dc.subject.mesh | Limited information | - |
dc.subject.mesh | Measured energy consumption | - |
dc.subject.mesh | Regression analysis methods | - |
dc.subject.mesh | Statistical characteristics | - |
dc.title | Development of energy benchmarks for office buildings using the national energy consumption database | - |
dc.type | Article | - |
dc.citation.number | 4 | - |
dc.citation.title | Energies | - |
dc.citation.volume | 13 | - |
dc.identifier.bibliographicCitation | Energies, Vol.13 No.4 | - |
dc.identifier.doi | 10.3390/en13040950 | - |
dc.identifier.scopusid | 2-s2.0-85082749210 | - |
dc.identifier.url | https://www.mdpi.com/1996-1073/13/4/950 | - |
dc.subject.keyword | Building energy benchmarking | - |
dc.subject.keyword | Energy performance benchmark | - |
dc.subject.keyword | Existing building | - |
dc.subject.keyword | Office building | - |
dc.type.other | Article | - |
dc.description.isoa | true | - |
dc.subject.subarea | Renewable Energy, Sustainability and the Environment | - |
dc.subject.subarea | Energy Engineering and Power Technology | - |
dc.subject.subarea | Energy (miscellaneous) | - |
dc.subject.subarea | Control and Optimization | - |
dc.subject.subarea | Electrical and Electronic Engineering | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.