Electric vehicle charging emissions under different control strategies and temporal resolutions: Case study for Australia

IF 5 Q2 ENERGY & FUELS
Kriengsak Fungyai , Rob Passey , Baran Yildiz
{"title":"Electric vehicle charging emissions under different control strategies and temporal resolutions: Case study for Australia","authors":"Kriengsak Fungyai ,&nbsp;Rob Passey ,&nbsp;Baran Yildiz","doi":"10.1016/j.segy.2025.100190","DOIUrl":null,"url":null,"abstract":"<div><div>The increasing adoption of electric vehicles (EVs) presents both challenges and opportunities for reducing greenhouse gas (GHG) emissions. While EVs are essential for decarbonising the transport sector, the emissions from charging vary greatly depending on the generation mix at the time. This study investigates the impact of various EV charging strategies on GHG emissions in different regions in the Australian National Electricity Market (NEM). The study focuses on four key charging strategies–Control Tariff, Timer, Solar Soak, and Convenience Charging. Using real-world data, the analysis evaluates both average and marginal emissions across regions with varying levels of renewable energy integration. Sensitivity analysis showed that coarser temporal resolution in emissions calculations can lead to variances of up to 6.3 %, emphasising the importance of using higher resolution data when available. It was found that the Solar Soak strategy is the most effective in minimising EV charging emissions and can also help with challenges associated with increasing solar exports in the distribution network. The choice between average and marginal emissions intensity factors is also critical in determining outcomes. In Tasmania and South Australia, where renewable energy sources dominate, the use of marginal emission factors resulted in higher EV charging emissions than average emissions due to their reliance on coal and gas as the marginal generators. The sensitivity analysis carried out with emissions data between 2019 and 2023 revealed a negative relationship between renewable energy fraction and emissions intensity and highlighted the importance of aligning EV charging with high renewable generation periods to achieve maximum GHG reductions.</div></div>","PeriodicalId":34738,"journal":{"name":"Smart Energy","volume":"19 ","pages":"Article 100190"},"PeriodicalIF":5.0000,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart Energy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666955225000188","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

The increasing adoption of electric vehicles (EVs) presents both challenges and opportunities for reducing greenhouse gas (GHG) emissions. While EVs are essential for decarbonising the transport sector, the emissions from charging vary greatly depending on the generation mix at the time. This study investigates the impact of various EV charging strategies on GHG emissions in different regions in the Australian National Electricity Market (NEM). The study focuses on four key charging strategies–Control Tariff, Timer, Solar Soak, and Convenience Charging. Using real-world data, the analysis evaluates both average and marginal emissions across regions with varying levels of renewable energy integration. Sensitivity analysis showed that coarser temporal resolution in emissions calculations can lead to variances of up to 6.3 %, emphasising the importance of using higher resolution data when available. It was found that the Solar Soak strategy is the most effective in minimising EV charging emissions and can also help with challenges associated with increasing solar exports in the distribution network. The choice between average and marginal emissions intensity factors is also critical in determining outcomes. In Tasmania and South Australia, where renewable energy sources dominate, the use of marginal emission factors resulted in higher EV charging emissions than average emissions due to their reliance on coal and gas as the marginal generators. The sensitivity analysis carried out with emissions data between 2019 and 2023 revealed a negative relationship between renewable energy fraction and emissions intensity and highlighted the importance of aligning EV charging with high renewable generation periods to achieve maximum GHG reductions.

Abstract Image

不同控制策略和时间分辨率下的电动汽车充电排放:澳大利亚案例研究
电动汽车(ev)的日益普及为减少温室气体(GHG)排放带来了挑战和机遇。虽然电动汽车对交通运输部门的脱碳至关重要,但充电产生的排放因当时的发电组合而有很大差异。本研究调查了澳大利亚国家电力市场(NEM)不同地区的各种电动汽车充电策略对温室气体排放的影响。该研究重点研究了四种关键的充电策略——控制电价、定时充电、太阳能充电和便利充电。利用真实世界的数据,该分析评估了不同可再生能源整合水平地区的平均和边际排放量。敏感性分析表明,排放计算中较粗的时间分辨率可能导致高达6.3%的差异,这强调了在可用时使用更高分辨率数据的重要性。研究发现,太阳能浸泡策略在最大限度地减少电动汽车充电排放方面是最有效的,并且还可以帮助应对与配电网络中增加太阳能出口相关的挑战。在平均和边际排放强度因子之间的选择对于决定结果也至关重要。在可再生能源占主导地位的塔斯马尼亚州和南澳大利亚州,由于依赖煤炭和天然气作为边际发电机,使用边际排放因子导致电动汽车充电排放高于平均排放量。利用2019年至2023年的排放数据进行的敏感性分析显示,可再生能源比例与排放强度之间存在负相关关系,并强调了将电动汽车充电与高可再生能源发电周期相结合以实现最大温室气体减排的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Smart Energy
Smart Energy Engineering-Mechanical Engineering
CiteScore
9.20
自引率
0.00%
发文量
29
审稿时长
73 days
×
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:604180095
Book学术官方微信