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

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  • Hye-Ryeong Nam

    (Energy ICT Convergence Research Department, Korea Institute of Energy Research, Daejeon 34101, Korea
    School of Architectural, Civil, Environmental, and Energy Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu 41566, 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)

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.

Suggested Citation

  • Hye-Ryeong Nam & Seo-Hoon Kim & Seol-Yee Han & Sung-Jin Lee & Won-Hwa Hong & Jong-Hun Kim, 2020. "Statistical Methodology for the Definition of Standard Model for Energy Analysis of Residential Buildings in Korea," Energies, MDPI, vol. 13(21), pages 1-16, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:21:p:5796-:d:440555
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    References listed on IDEAS

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