Revealing temporal and spatial variations in CO2 emission factor of electricity generation in Japan

The electricity generation sector in many countries is undergoing drastic changes toward decarbonization. A major driver of this change is the rapid integration of renewable energy, the availability of which varies temporally and spatially. To evaluate how such variations affect CO 2 emissions from electricity generation, this study measured the average emission factor across 10 different electricity service areas in Japan. Using hourly generation data spanning seven years from each area, our study revealed substantial temporal and spatial variations in the emission factor. Specifically, the results show (1) significant intraday variation with smaller values during daytime hours, (2) yearly variation with decreasing values over time, and (3) substantial spatial variation in both temporal variation and magnitude. We also used real consumption data of heat pump water heaters to simulate the extent to which CO 2 emissions can be mitigated by shifting their operation schedules from midnight to daytime, finding that households can reduce CO 2 emissions by 158 kg annually on average. • Hourly average emission factors are measured using hourly generation data. • The data from 10 electricity service areas in Japan over seven years was collected. • Real consumption data of heat pumps was used to measure impacts of consumption schedule. • Temporal and spatial variations in emission factors enable households to reduce emissions.

Authors

Institutions

Publication Details

Journal
Energy
Published
2025-04-18
DOI
https://doi.org/10.1016/j.energy.2025.136237
Citations
6
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
4.38
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Revealing temporal and spatial variations in CO2 emission factor of electricity generation in Japan

Tomonori Honda, Akito Ozawa, Ruth Anne Gonocruz, Hideki Shimada et al.
6 citations
Energy
Integrated Energy Systems Optimization
4.38
article

Revealing temporal and spatial variations in CO2 emission factor of electricity generation in Japan

Tomonori Honda, Akito Ozawa, Ruth Anne Gonocruz, Hideki Shimada, Yuya Imamura
article en
6 citations

Abstract

The electricity generation sector in many countries is undergoing drastic changes toward decarbonization. A major driver of this change is the rapid integration of renewable energy, the availability of which varies temporally and spatially. To evaluate how such variations affect CO 2 emissions from electricity generation, this study measured the average emission factor across 10 different electricity service areas in Japan. Using hourly generation data spanning seven years from each area, our study revealed substantial temporal and spatial variations in the emission factor. Specifically, the results show (1) significant intraday variation with smaller values during daytime hours, (2) yearly variation with decreasing values over time, and (3) substantial spatial variation in both temporal variation and magnitude. We also used real consumption data of heat pump water heaters to simulate the extent to which CO 2 emissions can be mitigated by shifting their operation schedules from midnight to daytime, finding that households can reduce CO 2 emissions by 158 kg annually on average. • Hourly average emission factors are measured using hourly generation data. • The data from 10 electricity service areas in Japan over seven years was collected. • Real consumption data of heat pumps was used to measure impacts of consumption schedule. • Temporal and spatial variations in emission factors enable households to reduce emissions.

EnergyVol. 326
Kyoto University (JP), National Institute of Advanced Industrial Science and Technology (JP)
Affordable and clean energy
Openalex Percentile: Top 6%
Integrated Energy Systems Optimization
4.38
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Revealing temporal and spatial variations in CO2 emission factor of electricity generation in Japan — Tomonori Honda, Akito Ozawa, et al. · Energy (2025) | TGRS Research Map | TGRS