A novel approach for plug-in electric vehicle planning and electricity load management in presence of a clean disruptive technology

Hajebrahimi, Ali; Kamwa, Innocent; Huneault, M.

doi:10.1016/j.energy.2018.06.085

Cited by 18 publications

(3 citation statements)

References 21 publications

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“…The maximum potential for electric vehicle penetration is similar to the IEEE 123‐node while there are four locations for charging stations. The required data for uncertainty modelling of the wind speed, solar radiation, and electric vehicle e‐mobility can be found in [102]. Table 3 represents 12 assumed strategies for technology penetration in this study.…”

Section: Preliminary Resultsmentioning

confidence: 99%

Transmission and distribution co‐simulation: a review and propositions

Mohseni‐Bonab

Hajebrahimi

Kamwa

et al. 2020

IET Generation, Transmission & Distribution

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Section: Preliminary Resultsmentioning

confidence: 99%

Transmission and distribution co‐simulation: a review and propositions

Mohseni‐Bonab

Hajebrahimi

Kamwa

et al. 2020

IET Generation, Transmission & Distribution

Self Cite

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“…[21]. Other articles [22,23] also describe the possibility of intelligent load management using the regulation capabilities of EVs. Chung et al [24] also applied modern methods of data analysis based on machine learning, allowing for optimal energy management based on algorithms that predict the behaviour of EV users.…”

Section: Introductionmentioning

confidence: 99%

Multi-Criterial Assessment of Electric Vehicle Integration into the Commercial Sector—A Case Study

Pietracho

Wenge

Komarnicki³

et al. 2022

Energies

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Transforming the transport sector to zero emission is an integral part of changes to the energy sector worldwide. This effects not only the electrification of the private sector but also the commercial sector. The aim of this study is to develop methodologies, algorithms and associated requirements for the integration of electric vehicles into a logistics application with a possible reduction in operating costs. The most favorable solution for a company was evaluated using the analytic hierarchy process algorithm considering three main aspects: economic, environmental and technical. An analysis of the environmental impact of the vehicle fleet in terms of atmospheric emissions was also conducted, based on the data available for combustion and electric vehicles, considering the well-to-tank approach. The costs associated with operating an electric vehicle were identified and compared to the current costs associated with operating a standard diesel-based fleet. Incorporating the identified costs of electrifying the vehicle fleet, an algorithm was implemented to reduce the number of vehicles in the company and, thereby, significantly reducing the costs associated with fleet maintenance.

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“…For example, a study done in Texas showed that EVs powered by coal increased air pollution by 350%, while EVs powered by renewable energy or natural gas decreased air pollution by 50% and 70%, respectively [8]. In Ontario, Canada, there is a surplus of electricity produced from different energy sources, and therefore, the market penetration of EVs would be beneficial [9].…”

Section: Introductionmentioning

confidence: 99%

Environmental and Economic Benefits of a Battery Electric Vehicle Powertrain with a Zinc–Air Range Extender in the Transition to Electric Vehicles

et al. 2020

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Emissions and pollution from the transportation sector due to the consumption of fossil fuels by conventional vehicles have been negatively affecting the global climate and public health. Electric vehicles (EVs) are a cleaner solution to reduce the emission and pollution caused by transportation. Lithium-ion (Li-ion) batteries are the main type of energy storage system used in EVs. The Li-ion battery pack must be considerably large to satisfy the requirement for the vehicle’s range, which also increases the cost of the vehicle. However, considering that most people use their vehicles for short-distance travel during daily commutes, the large pack is expensive, inefficient and unnecessary. In a previous paper, we proposed a novel EV powertrain design that incorporated the use of a zinc–air (Zn–air) battery pack as a range-extender, so that a smaller Li-ion pack could be used to save costs. The design and performance aspects of the powertrain were analyzed. In this study, the environmental and economic benefits of the proposed dual-battery powertrain are investigated. The results from the new powertrain were compared with values from a standard EV powertrain with one large Li-ion pack and a conventional internal combustion engine vehicle (ICEV) powertrain. In addition, an air pollution model is developed to determine the total amount of pollution released by the transportation sector on Highway 401 in Ontario, Canada. The model was then used to determine the effects of mass passenger EV rollout on pollution reduction.

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A novel approach for plug-in electric vehicle planning and electricity load management in presence of a clean disruptive technology

Cited by 18 publications

References 21 publications

Transmission and distribution co‐simulation: a review and propositions

Transmission and distribution co‐simulation: a review and propositions

Multi-Criterial Assessment of Electric Vehicle Integration into the Commercial Sector—A Case Study

Environmental and Economic Benefits of a Battery Electric Vehicle Powertrain with a Zinc–Air Range Extender in the Transition to Electric Vehicles

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