Skip to main navigation Skip to search Skip to main content

A study on the impact of residents' energy usage behavior on heating energy consumption based on smart meter data and surveys

  • Chihye Bae
  • , Jae Yong Lee
  • , Dongwoo Kim
  • , Chungyoon Chun*
  • *Corresponding author for this work
  • Korea Institute of Energy Research
  • Yonsei University

Research output: Contribution to journalJournal articlepeer-review

Abstract

This study aimed to identify the factors that influence heating energy consumption in residential apartments using smart meter data and surveys. It emphasized the significance of residents' behavior as a key variable. The analysis considered physical and behavioral factors, including external factors, building characteristics, resident demographics, and residents' heating energy consumption behavior. Based on these factors, a model for heating energy consumption was developed. Moreover, the study found that residents' heating energy consumption behavior had a strong explanatory power in both space heating and hot water energy consumption models. Therefore, to achieve accurate prediction and evaluation of energy consumption in the residential sector, future research should thoroughly consider resident characteristics and energy use behavior, taking into account different types of final energy. Furthermore, it is crucial to comprehensively consider residents' characteristics when developing energy-saving policies for buildings, as this will lead to meaningful outcomes.

Original languageEnglish
Article number113634
JournalEnergy and Buildings
Volume300
DOIs
StatePublished - 2023.12.1

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Energy using behavior
  • Heating energy consumption
  • Residents’ behavior

Fingerprint

Dive into the research topics of 'A study on the impact of residents' energy usage behavior on heating energy consumption based on smart meter data and surveys'. Together they form a unique fingerprint.

Cite this