Statistical Methodology for the Definition of Standard Model for Energy Analysis of Residential Buildings in Korea
This study was conducted to propose an optimal methodology for deriving a standard model from existing residential buildings. To strategically improve existing residential buildings, it is necessary to identify standard models that can be used as quantitative standards. In this study, a total of six...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-11-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/21/5796 |
| _version_ | 1797548773707087872 |
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| author | Hye-Ryeong Nam Seo-Hoon Kim Seol-Yee Han Sung-Jin Lee Won-Hwa Hong Jong-Hun Kim |
| author_facet | Hye-Ryeong Nam Seo-Hoon Kim Seol-Yee Han Sung-Jin Lee Won-Hwa Hong Jong-Hun Kim |
| author_sort | Hye-Ryeong Nam |
| collection | DOAJ |
| description | This study was conducted to propose an optimal methodology for deriving a standard model from existing residential buildings. To strategically improve existing residential buildings, it is necessary to identify standard models that can be used as quantitative standards. In this study, a total of six methods were established for different algorithms in the dimensionality reduction and clustering stage of the data preprocessing stage. In addition, a total of 22,342 households’ data were analyzed, and a total of 26 variables were used to perform cluster analysis. The process of method 6 (data pre-processing, principal components analysis, clustering [K-medoids], verification) was proposed as a way to derive the standard model from the existing Korean housing. The method proposed in this study is capable of deriving a number of standard models considering all variables (n) in a single analysis. The representative building derived in this study contains a lot of building data, so it can be effectively used for planning and research related to buildings on a regional and national scale. In addition, this process can be applied to various buildings to derive representative buildings. |
| first_indexed | 2024-03-10T15:04:27Z |
| format | Article |
| id | doaj.art-cd0b7d714655444aa76d67da2daba6b9 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T15:04:27Z |
| publishDate | 2020-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-cd0b7d714655444aa76d67da2daba6b92023-11-20T19:55:28ZengMDPI AGEnergies1996-10732020-11-011321579610.3390/en13215796Statistical Methodology for the Definition of Standard Model for Energy Analysis of Residential Buildings in KoreaHye-Ryeong Nam0Seo-Hoon Kim1Seol-Yee Han2Sung-Jin Lee3Won-Hwa Hong4Jong-Hun Kim5Energy ICT Convergence Research Department, Korea Institute of Energy Research, Daejeon 34101, KoreaEnergy ICT Convergence Research Department, Korea Institute of Energy Research, Daejeon 34101, KoreaEnergy ICT Convergence Research Department, Korea Institute of Energy Research, Daejeon 34101, KoreaEnergy ICT Convergence Research Department, Korea Institute of Energy Research, Daejeon 34101, KoreaSchool of Architectural, Civil, Environmental, and Energy Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu 41566, KoreaEnergy ICT Convergence Research Department, Korea Institute of Energy Research, Daejeon 34101, KoreaThis study was conducted to propose an optimal methodology for deriving a standard model from existing residential buildings. To strategically improve existing residential buildings, it is necessary to identify standard models that can be used as quantitative standards. In this study, a total of six methods were established for different algorithms in the dimensionality reduction and clustering stage of the data preprocessing stage. In addition, a total of 22,342 households’ data were analyzed, and a total of 26 variables were used to perform cluster analysis. The process of method 6 (data pre-processing, principal components analysis, clustering [K-medoids], verification) was proposed as a way to derive the standard model from the existing Korean housing. The method proposed in this study is capable of deriving a number of standard models considering all variables (n) in a single analysis. The representative building derived in this study contains a lot of building data, so it can be effectively used for planning and research related to buildings on a regional and national scale. In addition, this process can be applied to various buildings to derive representative buildings.https://www.mdpi.com/1996-1073/13/21/5796standard modelrepresentative buildingclusteringenergy retrofit |
| spellingShingle | Hye-Ryeong Nam Seo-Hoon Kim Seol-Yee Han Sung-Jin Lee Won-Hwa Hong Jong-Hun Kim Statistical Methodology for the Definition of Standard Model for Energy Analysis of Residential Buildings in Korea Energies standard model representative building clustering energy retrofit |
| title | Statistical Methodology for the Definition of Standard Model for Energy Analysis of Residential Buildings in Korea |
| title_full | Statistical Methodology for the Definition of Standard Model for Energy Analysis of Residential Buildings in Korea |
| title_fullStr | Statistical Methodology for the Definition of Standard Model for Energy Analysis of Residential Buildings in Korea |
| title_full_unstemmed | Statistical Methodology for the Definition of Standard Model for Energy Analysis of Residential Buildings in Korea |
| title_short | Statistical Methodology for the Definition of Standard Model for Energy Analysis of Residential Buildings in Korea |
| title_sort | statistical methodology for the definition of standard model for energy analysis of residential buildings in korea |
| topic | standard model representative building clustering energy retrofit |
| url | https://www.mdpi.com/1996-1073/13/21/5796 |
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