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.
Highlights
According to the Climate Change 2014 Synthesis Report, the number of anthropogenic greenhouse gases recently released is the highest since observations, and several extreme weather and climate events have been observed since 1950 [1]
5 and 6 performed clustering by constructing a dataset (3) from which variables were were extracted by principal component analysis in the dimensionality reduction process after data extracted by principal component analysis in the dimensionality reduction process after data preprocessing
In the case of previous studies, the usefulness of the cluster analysis technique was proved, but limitations and imperfections of data collection appeared, and geometric characteristics were mainly considered in deriving the standard model
Summary
According to the Climate Change 2014 Synthesis Report, the number of anthropogenic greenhouse gases recently released is the highest since observations, and several extreme weather and climate events have been observed since 1950 [1]. Korea participated in international efforts to respond to climate change and decided in 2015 to aim to “reduce 37% of greenhouse gas emissions forecast by 2030”. The government has revised and implemented the subdivision of regional classification and strengthening of the heat permeation rate (W/(m2 ·K)) of buildings in each region since September 2018 to expand the distribution of energy-saving buildings, but it is limited to new buildings [3]. To achieve the GHG emission forecast for the building sector, which was aimed at by 2030, it is time to try to improve energy efficiency for new construction and for existing buildings [4,5]. High efficiency of equipment in existing buildings is important, but first, it is necessary to improve the energy efficiency of the building itself so as to minimize the energy demand (kWh/(m2 ·a)) of the building [6,7,8]
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