Residential End-Use Energy Estimation Models in Korean Apartment Units through Multiple Regression Analysis
- 주제(키워드) apartment unit , end-use energy consumption , estimation model , multiple regression analysis
- 주제(기타) Energy & Fuels
- 설명문(일반) [Lee, Soo-Jin; Kim, You-Jeong; Jin, Hye-Sun; Kim, Sung-Im; Ha, Soo-Yeon; Song, Seung-Yeong] Ewha Womans Univ, Dept Architectural & Urban Syst Engn, Seoul 03760, South Korea
- 등재 SCIE, SCOPUS
- OA유형 Green Published, Green Submitted, gold
- 발행기관 MDPI
- 발행년도 2019
- URI http://www.dcollection.net/handler/ewha/000000159872
- 본문언어 영어
- Published As http://dx.doi.org/10.3390/en12122327
초록/요약
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.
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