Electric vehicle adoption decisions in a fleet environment

Kuppusamy, Saravanan; Magazine, Michael J.; Rao, U. R. K.

doi:10.1016/j.ejor.2017.03.039

Cited by 42 publications

(10 citation statements)

References 21 publications

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“…Selected references Impact of integrating PEVs into the power system Parks et al (2007), Lemoine et al (2008), Samaras and Meisterling (2008), Stephan and Sullivan (2008), Denholm (2009), Sioshansi et al (2010), Wang et al (2010), Sioshansi (2012), and Kahlen et al (2018) Market diffusion of electric vehicles: Barriers in front of the mass adoption Struben and Sterman (2008), Luo et al (2014), Cohen et al (2015), Lim et al (2015), Gnann and Plotz (2015), He et al (2017), Kuppusamy et al (2017), and Shao et al (2017) Optimal deployment and operation of refueling infrastructure Capar et al (2015), Lim and Kuby (2010), Raviv (2012), He et al (2013), Mak et al (2013), Nurre et al (2014), Avci et al (2015), Chung and Kwon (2015), Hung and Michailidis (2015), Yang and Sun (2015), Zhao and Ma (2016), and Yildiz et al (2016) Vehicle routing and scheduling problem for electric (and other alternative fuel) vehicles with limited ranges Boyaci et al (2015), Goeke and Scheider (2015), Hung and Michailidis (2015), Doppstadt et al (2016), Hiermann et al (2016), Pimenta et al (2016), Wen et al (2016), and Schiffer and Walther (2017) Open research questions…”

Section: Research Topicsmentioning

confidence: 99%

Electric Power Industry: Operational and Public Policy Challenges and Opportunities

Parker

Tan

Kazan

2019

Production and Operations Management

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The electric power industry is undergoing dramatic change driven by rapid technological transformation, concern over climate change, and evolving market structures. As a result, there is a need for new models to help the industry better utilize resources in a time of increasing uncertainty and to help government policy makers better understand the impacts of their regulatory decisions. We provide a structured review of the operations research and management science literatures to describe the current operational and policy issues in the electric power industry, with a particular focus on issues surrounding electricity market design, renewable integration, effects of climate policy on electric power infrastructure, rise of electric powered vehicles, energy storage, and the growing interdependence between natural gas and electric power sectors. We identify the current research frontier and classify the existing research into clusters with respect to managerial issues addressed. We offer a forecast for where the electric power industry is going and describe some important public policy issues. Finally, we highlight research opportunities and discuss how the management science community can contribute by considering the interaction between operational considerations and electric power policy.

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Section: Research Topicsmentioning

confidence: 99%

Electric Power Industry: Operational and Public Policy Challenges and Opportunities

Parker

Tan

Kazan

2019

Production and Operations Management

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“…They do so either by comparing different available EV models [15,17] or by introducing a finite number of exemplary vehicles [14,16]. All of these papers consider battery capacity as an exogenous parameter and not an endogenous decision variable.…”

Section: Impact Of Uncertain Energy Consumption and Available Charging Timesmentioning

confidence: 99%

Two-stage stochastic program optimizing the cost of electric vehicles in commercial fleets

Schücking

Jochem

2021

Applied Energy

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The possibility of electric vehicles to technically replace internal combustion engine vehicles and to deliver economic benefits mainly depends on the battery and the charging infrastructure as well as on annual mileage (utilizing the lower variable costs of electric vehicles). Current studies on electric vehicles' total cost of ownership often neglect two important factors that influence the investment decision and operational costs: firstly, the trade-off between battery and charging capacity; secondly the uncertainty in energy consumption. This paper proposes a two-stage stochastic program that minimizes the total cost of ownership of a commercial electric vehicle under uncertain energy consumption and available charging times induced by mobility patterns and outside temperature. The optimization program is solved by sample average approximation based on mobility and temperature scenarios. A hidden Markov model is introduced to predict mobility demand scenarios. Three scenario reduction heuristics are applied to reduce computational effort while keeping a high-quality approximation. The proposed framework is tested in a case study of the home nursing service. The results show the large influence of the uncertain mobility patterns on the optimal solution. In the case study, the total cost of ownership can be reduced by up to 3.9% by including the trade-off between battery and charging capacity. The introduction of variable energy prices can lower energy costs by 31.6% but does not influence the investment decision in this case study. Overall, this study provides valuable insights for real applications to determine the techno-economic optimal electric vehicle and charging infrastructure configuration.

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“…Cities consume over two-thirds of the world's energy and account for more than 70% of global CO 2 emissions (Kuppusamy et al, 2017). A salient characteristic of EVs is their cleaner environmental impacts relative to conventional fuel vehicles, as they have either zero or much less tailpipe greenhouse gas (GHG)/CO 2 emissions than conventional cars (Manjunath and Gross, 2017).…”

Section: European Regulation For Carbon Dioxide Emissions (Co 2 )mentioning

confidence: 99%

Implementing electric vehicles in public services: a case study research

Reis

2019

IJEHV

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In the last years, most European countries have developed strategies to implement the use of electric vehicles. This paper uses a qualitative case study research in the automotive industry to evaluate the efficiencies concerning the implementation of the first electric light truck produced for public services. The results indicate that electric light trucks in public services are more efficient, economically reliable and contribute to the reduction of carbon dioxide emissions. Moreover, the strategy of using these vehicles is suitable for nocturnal collection of urban waste, to the extent that it reduces the daily traffic and, at the same time, drastically reduces the noise caused by diesel engines during night hours, thus, improving the quality of life on residential areas. By investing on such strategy, European governments are giving a step further to accomplish the European Commission requirements, which is stimulated by the reduction of the carbon dioxide footprint.

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Electric vehicle adoption decisions in a fleet environment

Cited by 42 publications

References 21 publications

Electric Power Industry: Operational and Public Policy Challenges and Opportunities

Electric Power Industry: Operational and Public Policy Challenges and Opportunities

Two-stage stochastic program optimizing the cost of electric vehicles in commercial fleets

Implementing electric vehicles in public services: a case study research

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