基于车队建模和支持向量回归的达卡城市电动汽车和纯电动汽车环境后果评估

M. Rasheduzzaman, A. Doulah, Ramit Kumar Sadhukhan, M. M. Hossain
{"title":"基于车队建模和支持向量回归的达卡城市电动汽车和纯电动汽车环境后果评估","authors":"M. Rasheduzzaman, A. Doulah, Ramit Kumar Sadhukhan, M. M. Hossain","doi":"10.1109/ICEPECC57281.2023.10209499","DOIUrl":null,"url":null,"abstract":"The majority of Dhaka’s transportation system consists of internal combustion engine vehicles (ICEVs) that use gasoline and compressed natural gas (CNG). Incorporation of battery electric vehicles (BEVs) can help to lessen air pollution caused by the automobiles’ exhaust systems. The impact of ICEVs on Dhaka’s air pollution, particularly based on the average speed and types of fuels used, have not yet been thoroughly studied. In this work, the emissions produced by the fleet of ICEVs already on the road and the emission decrease that would occur if electric vehicles were gradually brought to the city of Dhaka are predicted. It has been determined that the adoption of EVs will greatly lower emissions of greenhouse gases (GHGs) and particulate matter (PM). According to our analysis, the CO2, NOx, and PM2.5 emissions can be lowered by 4.76%, 7.93%, and 8.96% respectively by 2050 using the existing primary energy sources for generating electricity, however the SO2 emissions will rise by 27S.34%. In the case of a primary energy mix with reduced emission factors, it has been observed that S.95%, 9.5S%, and 9.12% reductions in CO2, NOx, and PM2.5 emissions, respectively, can be derived from the same number of EV integration by 2050, whereas SO2 emission will increase by 57.47%.","PeriodicalId":102289,"journal":{"name":"2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing the Environmental Consequences of ICEVs and BEVs in Dhaka City via Vehicle Fleet Modeling and Support Vector Regression\",\"authors\":\"M. Rasheduzzaman, A. Doulah, Ramit Kumar Sadhukhan, M. M. Hossain\",\"doi\":\"10.1109/ICEPECC57281.2023.10209499\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The majority of Dhaka’s transportation system consists of internal combustion engine vehicles (ICEVs) that use gasoline and compressed natural gas (CNG). Incorporation of battery electric vehicles (BEVs) can help to lessen air pollution caused by the automobiles’ exhaust systems. The impact of ICEVs on Dhaka’s air pollution, particularly based on the average speed and types of fuels used, have not yet been thoroughly studied. In this work, the emissions produced by the fleet of ICEVs already on the road and the emission decrease that would occur if electric vehicles were gradually brought to the city of Dhaka are predicted. It has been determined that the adoption of EVs will greatly lower emissions of greenhouse gases (GHGs) and particulate matter (PM). According to our analysis, the CO2, NOx, and PM2.5 emissions can be lowered by 4.76%, 7.93%, and 8.96% respectively by 2050 using the existing primary energy sources for generating electricity, however the SO2 emissions will rise by 27S.34%. In the case of a primary energy mix with reduced emission factors, it has been observed that S.95%, 9.5S%, and 9.12% reductions in CO2, NOx, and PM2.5 emissions, respectively, can be derived from the same number of EV integration by 2050, whereas SO2 emission will increase by 57.47%.\",\"PeriodicalId\":102289,\"journal\":{\"name\":\"2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEPECC57281.2023.10209499\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEPECC57281.2023.10209499","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

达卡的交通系统主要由使用汽油和压缩天然气(CNG)的内燃机车辆(icev)组成。电池电动汽车(BEVs)的结合可以帮助减少汽车排气系统造成的空气污染。icev对达卡空气污染的影响,特别是根据平均速度和使用的燃料类型,尚未得到彻底研究。在这项工作中,预测了已经上路的ICEVs车队产生的排放量,以及如果电动汽车逐渐引入达卡市将会产生的排放量减少。已经确定,采用电动汽车将大大降低温室气体(ghg)和颗粒物(PM)的排放。根据我们的分析,到2050年,利用现有的一次能源发电,二氧化碳、氮氧化物和PM2.5的排放量可以分别降低4.76%、7.93%和8.96%,而二氧化硫的排放量将增加27.34%。在降低排放因子的一次能源结构的情况下,研究发现,到2050年,相同数量的电动汽车整合可以使二氧化碳、氮氧化物和PM2.5排放量分别减少95.5%、9.5%和9.12%,而二氧化硫排放量将增加57.47%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the Environmental Consequences of ICEVs and BEVs in Dhaka City via Vehicle Fleet Modeling and Support Vector Regression
The majority of Dhaka’s transportation system consists of internal combustion engine vehicles (ICEVs) that use gasoline and compressed natural gas (CNG). Incorporation of battery electric vehicles (BEVs) can help to lessen air pollution caused by the automobiles’ exhaust systems. The impact of ICEVs on Dhaka’s air pollution, particularly based on the average speed and types of fuels used, have not yet been thoroughly studied. In this work, the emissions produced by the fleet of ICEVs already on the road and the emission decrease that would occur if electric vehicles were gradually brought to the city of Dhaka are predicted. It has been determined that the adoption of EVs will greatly lower emissions of greenhouse gases (GHGs) and particulate matter (PM). According to our analysis, the CO2, NOx, and PM2.5 emissions can be lowered by 4.76%, 7.93%, and 8.96% respectively by 2050 using the existing primary energy sources for generating electricity, however the SO2 emissions will rise by 27S.34%. In the case of a primary energy mix with reduced emission factors, it has been observed that S.95%, 9.5S%, and 9.12% reductions in CO2, NOx, and PM2.5 emissions, respectively, can be derived from the same number of EV integration by 2050, whereas SO2 emission will increase by 57.47%.
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
自引率
0.00%
发文量
0
×
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