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Time-series analysis of the effects of building and household features on residential end-use energy

Title
Time-series analysis of the effects of building and household features on residential end-use energy
Authors
Lee S.-J.Song S.-Y.
Ewha Authors
송승영
SCOPUS Author ID
송승영scopus
Issue Date
2022
Journal Title
Applied Energy
ISSN
0306-2619JCR Link
Citation
Applied Energy vol. 312
Keywords
DeterminantsDwelling and household featuresMultiple regression analysisResidential end-use energyTime-series analysis
Publisher
Elsevier Ltd
Indexed
SCIE; SCOPUS WOS scopus
Document Type
Article
Abstract
This study aimed to comprehensively consider dwelling and household features, analyze their influence on the energy consumption and derive valid determinants for each end-use: heating, cooling, DHW, lighting, electric appliances, and cooking. To this end, information about dwelling and household features was collected through a field survey of 154 households in apartment complexes, representative of residential buildings in South Korea. In addition, a system was installed to measure energy consumption separately for each end-use. The end-use energy consumption data were collected during two periods: 2017 (May 2017–Apr. 2018) and 2019 (Jan.–Dec. 2019). Four models were created to analyze the influence of features on end-use energy consumption for each period. Model 1 was designed to analyze variables with the greatest influence, and Models 2–4 were designed to analyze the influence of physical building features, sociodemographic features, and household appliance-use characteristics. Multiple regression analysis was performed to derive the variables with the greatest influence and the valid variables for each characteristic category, and the influence magnitude was analyzed. These variables with the greatest influence were the same for 2017 and 2019, except for DHW. These variables were the area for exclusive use for the energy consumption of heating and electric appliances; the number of household members for lighting and cooking; the air conditioner operating hours for cooling. Regarding influence by the characteristic category, heating energy consumption was dominantly affected by physical building factor, cooling and electric appliances were mainly affected by household appliance-use characteristics, and DHW and cooking were greatly affected by sociodemographics. As for lighting it was evenly influenced by physical building factors, sociodemographics, and household appliance-use characteristics. © 2022 Elsevier Ltd
DOI
10.1016/j.apenergy.2022.118722
Appears in Collections:
공과대학 > 건축도시시스템공학과 > Journal papers
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