A comparative analysis of energy consumption and GHG emission by the private vehicles of different fuel types in Dhaka, Bangladesh

IF 8 Q1 ENERGY & FUELS
Muhammad Mahmood Hasan , Md.Ehsanul Haque , Mohammad Tosif Nur Zahin , M.M. Islam , Mohammad Ahsan Habib , M. Hasanuzzaman
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引用次数: 0

Abstract

Bangladesh has experienced escalating GDP growth over the last decade, which has upgraded its economic status to an emerging one. This economic growth resulted in a high standard of living and a preference for using private vehicles for daily commuting in the capital city of Dhaka, which accommodates prestigious government establishments and corporate offices. Emissions from private vehicles have alarming impacts on the environment and its inhabitants, making Dhaka one of the lowest air quality indices. This aspect led to an investigation of air pollution in Dhaka City by private vehicles. A survey was conducted on private vehicles to obtain data that would lead to analyzing fuel consumption, energy requirement, and carbon dioxide emission in car models and manufacturing years with a sample size that assures 95% accuracy. The data analysis based on the survey unravels the fact that the vehicles reliant on gasoline on the roads of Dhaka city are causing lesser GHG emissions than those that primarily depend on CNG for locomotion. The low price of CNG entices the owners to choose bi-fuel system vehicles, which causes increased GHG emissions and questions sustainability.

孟加拉国达卡不同燃料类型私家车能源消耗和GHG排放的比较分析
孟加拉国在过去十年中经历了不断升级的国内生产总值增长,使其经济地位上升为新兴经济地位。这种经济增长导致首都达卡的生活水平很高,人们更喜欢使用私家车进行日常通勤,达卡设有著名的政府机构和公司办公室。私家车的排放对环境及其居民产生了令人担忧的影响,使达卡成为空气质量指数最低的城市之一。这一方面导致了对达卡市私家车空气污染的调查。对私家车进行了一项调查,以获得数据,从而分析车型和制造年份的燃料消耗、能源需求和二氧化碳排放,样本量确保95%的准确性。基于调查的数据分析揭示了一个事实,即达卡市道路上依赖汽油的车辆比主要依赖CNG行驶的车辆造成的温室气体排放更少。CNG的低价格吸引车主选择双燃料系统汽车,这导致温室气体排放增加,并对可持续性提出质疑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Energy nexus
Energy nexus Energy (General), Ecological Modelling, Renewable Energy, Sustainability and the Environment, Water Science and Technology, Agricultural and Biological Sciences (General)
CiteScore
7.70
自引率
0.00%
发文量
0
审稿时长
109 days
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