Evaluation of CO2 Emissions Reduction in the Japanese Residential Sector Through Energy-Saving Scenarios Based on Large-Scale Survey Data

Yujiro Hirano, Yukiko Yoshida, Takahiro Yoshida, Yoshiki Yamagata, Suguru Mizutani, Ji Xuan

Research output: Contribution to journalArticlepeer-review

Abstract

In recent years, the effects of global climate change have become more apparent, and reducing energy-derived CO2 emissions has become an important issue. The purpose of this study is to evaluate the CO2 emission reduction effect according to energy conservation scenarios in the residential sector, based on actual data. In this study, we set up energy-saving scenarios assuming the implementation of energy-saving behavior and the replacement of energy-consuming equipment and calculated the CO2 emission reduction effects of energy conservation for cooling, heating, and hot water using individual data from a large-scale survey of 29,161 samples. Consequently, we could quantify the relationship between the set scenarios and the associated CO2 reduction effects. Based on the results, we compared countermeasures and considered their respective potentials. However, despite there being an aggressive scenario in which all households implemented energy conservation measures, the calculated savings were limited. Therefore, we also considered the potential of demand response as a rough estimate. The results indicated that, while continued efforts to curb energy demand are necessary, a comprehensive countermeasure approach is important for achieving carbon neutrality.

Original languageEnglish
Article number1964
JournalEnergies
Volume18
Issue number8
DOIs
Publication statusPublished - 2025 Apr

Keywords

  • CO emission statistical survey
  • CO reduction
  • energy-saving behavior
  • residential energy consumption

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Engineering (miscellaneous)
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

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