The economics of workplace charging

Fetene, Gebeyehu Manie; Hirte, Georg; Kaplan, Sigal; Prato, Carlo Giacomo; Tscharaktschiew, Stefan

doi:10.1016/j.trb.2016.03.004

Cited by 33 publications

(7 citation statements)

References 49 publications

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“…4 Public charging can even be free, e. g. at supermarkets that install chargers in their parking lots for image reasons and to provide convenience effects for their customers. 5 However,Fetene et al (2016) show that charging at work is not economically reasonable both for firms and workers. It is thus not expected to gain major importance.…”

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confidence: 99%

Public charging infrastructure and the market diffusion of electric vehicles

Illmann

Kluge

2020

Transportation Research Part D: Transport and Environment

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A comprehensive roll-out of public charging infrastructure will be costly. However, its impact on the diffusion of electric vehicles (EVs) is not clear at all. Our study aims at estimating the extent to which an increasing availability of public charging infrastructure promotes consumers' decisions to switch to EVs. We make use of a German data set including monthly registrations of new cars at the ZIP-code level between 2012 and 2017 and match it with the official registry of charging stations. We measure charging infrastructure by its visibility, capacity and abundance in order to estimate its impact on EV adoption. A CS-ARDL approach is deployed in order to identify the structural long-run relationship between charging infrastructure and monthly EV registrations. There is evidence of a positive long-run relationship but on a rather low scale. We conclude that consumers do not necessarily react to the mere number of chargers but attach more importance to charging speed.

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confidence: 99%

Public charging infrastructure and the market diffusion of electric vehicles

Illmann

Kluge

2020

Transportation Research Part D: Transport and Environment

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“…In addition, we also proved experimentally through cross-validation that the prediction-based strategy is robust particularly under a high peak arrival ratio. This suggest a promising application potential for workplace charging, which is gaining increasing attention with the capability of overcoming the range-anxiety problem and other drawbacks of EVs [28].…”

Section: E Stability Analysis Of the Prediction-based Strategymentioning

confidence: 97%

Online EV Charge Scheduling Based on Time-of-Use Pricing and Peak Load Minimization: Properties and Efficient Algorithms

Lin

Liu

et al. 2022

IEEE Trans. Intell. Transport. Syst.

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“…When l mj is close to the distance threshold R , B mjd reaches the maximum value of 20 and the EVs are in the highest charging level. With elastic demand, the value range of the convenience coefficient B mjd is set in . With rigid demand, the convenience coefficient B mjd is set as ∞.…”

Section: Case Studymentioning

confidence: 99%

“…With rigid demand, the convenience coefficient B mjd is set as ∞. Therefore, the value range of the convenience coefficient B mjd is and ∞.…”

Section: Case Studymentioning

confidence: 99%

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Location and Capacity Model of Charging Station for Electric Vehicles Based on Commuting Demand

Luo

Tian

Jia

2020

IEEJ Transactions Elec Engng

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For commuters, the workplace is the second most important place to be able to charge electric vehicles after their own residence. In order to satisfy the charging demand near to the workplaces of commuters, a location and capacity model for charging stations is set up with the aim of minimizing the overall cost, composed of the charging station construction cost and the generalized cost of users. The charging demand of commuting electric vehicles is divided into rigid demand and elastic demand, which depends on whether the electric vehicle has enough power to complete the rest of its daily travel requirements. By introducing a user convenience coefficient to quantify the user's charging expectation, the number of electric vehicles to be served and the demand for charging at the stations are obtained. Further, the optimal sites for charging stations and the quantities of different levels of charging facility equipped are determined by the location and capacity model. An example shows that, as the threshold of the convenience coefficient decreases, the demand for electric energy increases gradually, and the construction becomes less economical. Meanwhile, the location of the charging station is insensitive to the change of electric energy demand. The threshold value for the convenience coefficient is put forward for different planning purposes, providing a reference for planning site selection and quantity of chargers under elastic demand. © 2020 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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The economics of workplace charging

Cited by 33 publications

References 49 publications

Public charging infrastructure and the market diffusion of electric vehicles

Public charging infrastructure and the market diffusion of electric vehicles

Online EV Charge Scheduling Based on Time-of-Use Pricing and Peak Load Minimization: Properties and Efficient Algorithms

Location and Capacity Model of Charging Station for Electric Vehicles Based on Commuting Demand

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