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

Title
Residential End-Use Energy Estimation Models in Korean Apartment Units through Multiple Regression Analysis
Authors
Lee, Soo-JinKim, You-JeongJin, Hye-SunKim, Sung-ImHa, Soo-YeonSong, Seung-Yeong
Ewha Authors
송승영
SCOPUS Author ID
송승영scopus
Issue Date
2019
Journal Title
ENERGIES
ISSN
1996-1073JCR Link
Citation
ENERGIES vol. 12, no. 12
Keywords
apartment unitend-use energy consumptionestimation modelmultiple regression analysis
Publisher
MDPI
Indexed
SCIE; SCOPUS WOS
Document Type
Article
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.
DOI
10.3390/en12122327
Appears in Collections:
엘텍공과대학 > 건축공학전공 > Journal papers
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