汽油和电动汽车的能耗和二氧化碳排放效果显著。

IF 2.6 4区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Science Progress Pub Date : 2025-01-01 DOI:10.1177/00368504241305897
Tugba Tetik, Yasin Karagoz
{"title":"汽油和电动汽车的能耗和二氧化碳排放效果显著。","authors":"Tugba Tetik, Yasin Karagoz","doi":"10.1177/00368504241305897","DOIUrl":null,"url":null,"abstract":"<p><p>Increasing concerns about climate change and efforts on reducing reliance on fossil fuels have led to research on electric vehicles for sustainable solutions to increasing energy demands. This study comprehensively analyzes the impact of power plant emissions on the adoption of electric vehicles in relation to air pollution. The main pollutants emitted by power plants and the potential change in emissions with the deployment of electric vehicles are assessed. Energy consumption of the vehicles was calculated. A gasoline-powered and an electric vehicle are modelled in MATLAB Simulink software. The theoretical model results of the main pollutants are compared with the power plant emissions to analyze the effect on major pollutants. This investigation aims to identify the potential CO<sub>2</sub> emission and power requirement by transitioning to electric vehicles. Results show that energy consumption and CO<sub>2</sub> emissions can be 111% and 82% higher than GPVs depending on the electricity generation technologies.</p>","PeriodicalId":56061,"journal":{"name":"Science Progress","volume":"108 1","pages":"368504241305897"},"PeriodicalIF":2.6000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11705307/pdf/","citationCount":"0","resultStr":"{\"title\":\"Remarkable results of energy consumption and CO<sub>2</sub> emissions for gasoline and electric powered vehicle.\",\"authors\":\"Tugba Tetik, Yasin Karagoz\",\"doi\":\"10.1177/00368504241305897\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Increasing concerns about climate change and efforts on reducing reliance on fossil fuels have led to research on electric vehicles for sustainable solutions to increasing energy demands. This study comprehensively analyzes the impact of power plant emissions on the adoption of electric vehicles in relation to air pollution. The main pollutants emitted by power plants and the potential change in emissions with the deployment of electric vehicles are assessed. Energy consumption of the vehicles was calculated. A gasoline-powered and an electric vehicle are modelled in MATLAB Simulink software. The theoretical model results of the main pollutants are compared with the power plant emissions to analyze the effect on major pollutants. This investigation aims to identify the potential CO<sub>2</sub> emission and power requirement by transitioning to electric vehicles. Results show that energy consumption and CO<sub>2</sub> emissions can be 111% and 82% higher than GPVs depending on the electricity generation technologies.</p>\",\"PeriodicalId\":56061,\"journal\":{\"name\":\"Science Progress\",\"volume\":\"108 1\",\"pages\":\"368504241305897\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11705307/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science Progress\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1177/00368504241305897\",\"RegionNum\":4,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science Progress","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1177/00368504241305897","RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

对气候变化的日益关注和减少对化石燃料依赖的努力,导致了对电动汽车的研究,以寻求可持续的解决方案,以满足日益增长的能源需求。本研究综合分析电厂排放对电动车采用的影响与空气污染的关系。评估了发电厂排放的主要污染物以及电动汽车部署后排放的潜在变化。计算了车辆的能耗。在MATLAB Simulink软件中对汽油动力汽车和电动汽车进行了建模。将主要污染物的理论模型结果与电厂排放进行比较,分析对主要污染物的影响。本研究旨在确定过渡到电动汽车的潜在二氧化碳排放和电力需求。结果表明,根据发电技术的不同,能源消耗和二氧化碳排放可能比gpv高111%和82%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Remarkable results of energy consumption and CO2 emissions for gasoline and electric powered vehicle.

Increasing concerns about climate change and efforts on reducing reliance on fossil fuels have led to research on electric vehicles for sustainable solutions to increasing energy demands. This study comprehensively analyzes the impact of power plant emissions on the adoption of electric vehicles in relation to air pollution. The main pollutants emitted by power plants and the potential change in emissions with the deployment of electric vehicles are assessed. Energy consumption of the vehicles was calculated. A gasoline-powered and an electric vehicle are modelled in MATLAB Simulink software. The theoretical model results of the main pollutants are compared with the power plant emissions to analyze the effect on major pollutants. This investigation aims to identify the potential CO2 emission and power requirement by transitioning to electric vehicles. Results show that energy consumption and CO2 emissions can be 111% and 82% higher than GPVs depending on the electricity generation technologies.

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
Science Progress
Science Progress Multidisciplinary-Multidisciplinary
CiteScore
3.80
自引率
0.00%
发文量
119
期刊介绍: Science Progress has for over 100 years been a highly regarded review publication in science, technology and medicine. Its objective is to excite the readers'' interest in areas with which they may not be fully familiar but which could facilitate their interest, or even activity, in a cognate field.
期刊最新文献
Noninvasive prediction of coronary artery disease severity: Comparative analysis of electrocardiographic findings and risk factors with SYNTAX and Gensini score. Peak serum lactate as a robust predictor of imminent death in life-sustaining treatment decisions: A study of 73,927 patients. Remarkable results of energy consumption and CO2 emissions for gasoline and electric powered vehicle. Advantages of the standardized use of preoperative fascia iliaca block versus conventional analgesia in older adults with fragility hip fracture: A retrospective cohort study at two hospitals in Colombia. Lurker: Backdoor attack-based explainable rumor detection on online media.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1