A Comparison of Carbon Dioxide Emissions from Electric Vehicles to Emissions from Internal Combustion Vehicles

Berger, Daniel; Jorgensen, Andrew D.

doi:10.1021/acs.jchemed.5b00125

Cited by 13 publications

(2 citation statements)

References 11 publications

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“…Many studies are conducted practically by analyzing public data and surveys. Comparisons about carbon dioxide emissions of electric vehicles and internal combustion vehicles are done by Berger and Jorgensen [5] to realize the potential for electric vehicles to reduce carbon dioxide emissions. German researchers look at the activities of commercial transport in different economic sectors and discuss the potential of reducing emissions by replacing them with EVs [13].…”

Section: Introductionmentioning

confidence: 99%

The Predicted Relationship Between Relating Factors on Electric Vehicles and Carbon Dioxide Emissions in the United States

Liu¹

2022

Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022)

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In recent years, vehicle electrification is promoted around the world to reduce greenhouse gas emissions. As electric vehicles (HEV, PHEV, BEV) are taking a bigger portion of the market share every year, it is important to find out whether this trend does provide environmental benefits in real life. Many previous studies have investigated the topic regarding electric vehicles and emissions: a lot of comparisons between the lifecycle emissions of electric vehicles and internal combustion engine vehicles are done by scholars around the world, most indicating that EVs produce less lifecycle emission than ICEVs. While most of these studies are done from a microscopic perspective by taking very detailed regional data, this study is trying to develop a prediction for the relationship between the sales of electric vehicles and carbon dioxide emissions from a broader perspective. The scope of this study is from 2000 to 2018 in the United States and the data is taken from the U.S. Energy Information Administration and Bureau of Transportation Statistics, U.S. Department of Transportation. A multiple linear regression model is developed where the independent variables include the sales number of EVs and variables related to the lifecycle of EVs: electricity production, petrol price, industrial sector energy consumption, transportation sector energy consumption and the sales of ICEVs; the dependent variable is carbon dioxide emission. After establishing a linear model for these variables in RStudio, a negatively proportional relationship between the sales number of EVs and carbon dioxide emission is discovered (coefficient = −1.769 × 10 −3 , p-value = 1.29 × 10 −5 ). Besides that, petrol price and transportation sector energy consumption are also factors that have a significant effect (at 𝛼 = 5%) on the dependent variable. Although the data for some variables might not be precise enough, the regression model proves that the rising sales of EVs correspond with the reduction of carbon dioxide emission.

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Section: Introductionmentioning

confidence: 99%

The Predicted Relationship Between Relating Factors on Electric Vehicles and Carbon Dioxide Emissions in the United States

Liu¹

2022

Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022)

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“…In general, widespread adoption of EVs is in alignment with sustainable transportation objectives due to its social, economic, and environmental perspectives. It is estimated that an EV that draws its power from the U.S. electrical grid emits at least 30% less CO 2 than comparable gasoline or diesel-fueled vehicles [1]. As EV usage for daily commute increases, the consideration for the ability to recharge these vehicles away from home will become even more important.…”

Section: Introductionmentioning

confidence: 99%

A Stochastic Programming Approach for Electric Vehicle Charging Network Design

Faridimehr

Venkatachalam

Chinnam

2019

IEEE Trans. Intell. Transport. Syst.

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Advantages of electric vehicles (EV) include reduction of greenhouse gas and other emissions, energy security, and fuel economy. The societal benefits of large-scale adoption of EVs cannot be realized without adequate deployment of publicly accessible charging stations. We propose a two-stage stochastic programming model to determine the optimal network of charging stations for a community considering uncertainties in arrival and dwell time of vehicles, battery state of charge of arriving vehicles, walkable range and charging preferences of drivers, demand during weekdays and weekends, and rate of adoption of EVs within a community. We conducted studies using sample average approximation (SAA) method which asymptotically converges to an optimal solution for a two-stage stochastic problem, however it is computationally expensive for large-scale instances. Therefore, we developed a heuristic to produce near to optimal solutions quickly for our data instances. We conducted computational experiments using various publicly available data sources, and benefits of the solutions are evaluated both quantitatively and qualitatively for a given community.Index Terms-two-stage stochastic programming, electric vehicle, charging network, sample average approximation.

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Tracing evolutionary trajectory of charging technologies in electric vehicles: patent citation network analysis

Liu,

Xiang,

Feng

2023

Environ Dev Sustain

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A Comparison of Carbon Dioxide Emissions from Electric Vehicles to Emissions from Internal Combustion Vehicles

Cited by 13 publications

References 11 publications

The Predicted Relationship Between Relating Factors on Electric Vehicles and Carbon Dioxide Emissions in the United States

The Predicted Relationship Between Relating Factors on Electric Vehicles and Carbon Dioxide Emissions in the United States

A Stochastic Programming Approach for Electric Vehicle Charging Network Design

Tracing evolutionary trajectory of charging technologies in electric vehicles: patent citation network analysis

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