日本发电CO2排放因子的时空变化特征

IF 9 1区 工程技术 Q1 ENERGY & FUELS
Hideki Shimada , Tomonori Honda , Yuya Imamura , Ruth Anne Gonocruz , Akito Ozawa
{"title":"日本发电CO2排放因子的时空变化特征","authors":"Hideki Shimada ,&nbsp;Tomonori Honda ,&nbsp;Yuya Imamura ,&nbsp;Ruth Anne Gonocruz ,&nbsp;Akito Ozawa","doi":"10.1016/j.energy.2025.136237","DOIUrl":null,"url":null,"abstract":"<div><div>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<sub>2</sub> 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<sub>2</sub> emissions can be mitigated by shifting their operation schedules from midnight to daytime, finding that households can reduce CO<sub>2</sub> emissions by 158 kg annually on average.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"326 ","pages":"Article 136237"},"PeriodicalIF":9.0000,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Revealing temporal and spatial variations in CO2 emission factor of electricity generation in Japan\",\"authors\":\"Hideki Shimada ,&nbsp;Tomonori Honda ,&nbsp;Yuya Imamura ,&nbsp;Ruth Anne Gonocruz ,&nbsp;Akito Ozawa\",\"doi\":\"10.1016/j.energy.2025.136237\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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<sub>2</sub> 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<sub>2</sub> emissions can be mitigated by shifting their operation schedules from midnight to daytime, finding that households can reduce CO<sub>2</sub> emissions by 158 kg annually on average.</div></div>\",\"PeriodicalId\":11647,\"journal\":{\"name\":\"Energy\",\"volume\":\"326 \",\"pages\":\"Article 136237\"},\"PeriodicalIF\":9.0000,\"publicationDate\":\"2025-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0360544225018791\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0360544225018791","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

摘要

许多国家的发电部门正在经历朝着脱碳方向的剧烈变化。这种变化的一个主要驱动因素是可再生能源的快速整合,可再生能源的可用性在时间和空间上都是不同的。为了评估这些变化如何影响发电产生的二氧化碳排放,本研究测量了日本10个不同电力服务区域的平均排放系数。利用每个地区7年的每小时发电数据,我们的研究揭示了排放因子的巨大时空变化。结果表明:(1)日间变化显著,白天值较小;(2)年变化,随时间减小;(3)时间变化和幅度都存在较大的空间差异。我们也使用热泵热水器的实际消耗数据,模拟将热泵热水器的运行时间从午夜改为白天,可以减少二氧化碳排放的程度,发现家庭平均每年可以减少158公斤的二氧化碳排放。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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 CO2 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 CO2 emissions can be mitigated by shifting their operation schedules from midnight to daytime, finding that households can reduce CO2 emissions by 158 kg annually on average.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Energy
Energy 工程技术-能源与燃料
CiteScore
15.30
自引率
14.40%
发文量
0
审稿时长
14.2 weeks
期刊介绍: Energy is a multidisciplinary, international journal that publishes research and analysis in the field of energy engineering. Our aim is to become a leading peer-reviewed platform and a trusted source of information for energy-related topics. The journal covers a range of areas including mechanical engineering, thermal sciences, and energy analysis. We are particularly interested in research on energy modelling, prediction, integrated energy systems, planning, and management. Additionally, we welcome papers on energy conservation, efficiency, biomass and bioenergy, renewable energy, electricity supply and demand, energy storage, buildings, and economic and policy issues. These topics should align with our broader multidisciplinary focus.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信