Statistical Methodology for the Definition of Standard Model for Energy Analysis of Residential Buildings in Korea

Hye-Ryeong Nam, Seo-Hoon Kim, Seol-Yee Han, Sung-Jin Lee, Won-Hwa Hong and Jong-Hun Kim
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Hye-Ryeong Nam: Energy ICT Convergence Research Department, Korea Institute of Energy Research, Daejeon 34101, Korea
Seo-Hoon Kim: Energy ICT Convergence Research Department, Korea Institute of Energy Research, Daejeon 34101, Korea
Seol-Yee Han: Energy ICT Convergence Research Department, Korea Institute of Energy Research, Daejeon 34101, Korea
Sung-Jin Lee: Energy ICT Convergence Research Department, Korea Institute of Energy Research, Daejeon 34101, Korea
Won-Hwa Hong: School of Architectural, Civil, Environmental, and Energy Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu 41566, Korea
Jong-Hun Kim: Energy ICT Convergence Research Department, Korea Institute of Energy Research, Daejeon 34101, Korea

Energies, 2020, vol. 13, issue 21, 1-16

Abstract: 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.

Keywords: standard model; representative building; clustering; energy retrofit (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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