Residential End-Use Energy Estimation Models in Korean Apartment Units through Multiple Regression Analysis

Soo-Jin Lee, You-Jeong Kim, Hye-Sun Jin, Sung-Im Kim, Soo-Yeon Ha and Seung-Yeong Song
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Soo-Jin Lee: Department of Architectural and Urban System Engineering, Ewha Womans University, Seoul 03760, Korea
You-Jeong Kim: Department of Architectural and Urban System Engineering, Ewha Womans University, Seoul 03760, Korea
Hye-Sun Jin: Department of Architectural and Urban System Engineering, Ewha Womans University, Seoul 03760, Korea
Sung-Im Kim: Department of Architectural and Urban System Engineering, Ewha Womans University, Seoul 03760, Korea
Soo-Yeon Ha: Department of Architectural and Urban System Engineering, Ewha Womans University, Seoul 03760, Korea
Seung-Yeong Song: Department of Architectural and Urban System Engineering, Ewha Womans University, Seoul 03760, Korea

Energies, 2019, vol. 12, issue 12, 1-18

Abstract: The aim of this study was to develop a mathematical regression model for predicting end-use energy consumption in the residential sector. To this end, housing characteristics were collected through a field survey and in-depth interviews with residents of 71 households (15 apartment complexes) in Seoul, South Korea, and annual data on end-use energy consumption were collected from measurement systems installed within each apartment unit. Based on the data collected, correlativity between the field-survey data and end-use energy consumption was analyzed, and effective independent variables from the field-survey data were selected. Regression models were developed and validated for estimating six end uses of energy consumption: heating, cooling, domestic hot water (DHW), lighting, electric appliances, and cooking. Regression analysis for ventilation was not applied, and instead a calculation formula was derived, because the energy-consumption proportion was too low. The adj-R 2 of the estimation model ranged from 0.406 to 0.703, and the maximum error between measured and estimated values was around ±30%, depending on the end use.

Keywords: apartment unit; end-use energy consumption; estimation model; multiple regression analysis (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: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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