Electricity represents the main promising option to decarbonize the transport sector, above all, for the private car use. Therefore, the diffusion of electric vehicles (EVs) in the automotive market is constrained to an adequate deployment of the energy distribution infrastructures. The paper proposes a methodology to identify the optimal locations of Electric Charging Points (ECPs) for EVs, considering both location and size. An original version of the facility location problem has been developed by a mixed-integer mathematical model. The customer's choices, in a competitive environment, have been modelled by the logit and the gravity models. A realistic application of the proposed model is explored and discussed to a case study located in Savona (Liguria Region, Italy).

A decision support system for the optimal location of electric vehicle charging points

Bersani C.;Zero E.;Sacile R.
2019-01-01

Abstract

Electricity represents the main promising option to decarbonize the transport sector, above all, for the private car use. Therefore, the diffusion of electric vehicles (EVs) in the automotive market is constrained to an adequate deployment of the energy distribution infrastructures. The paper proposes a methodology to identify the optimal locations of Electric Charging Points (ECPs) for EVs, considering both location and size. An original version of the facility location problem has been developed by a mixed-integer mathematical model. The customer's choices, in a competitive environment, have been modelled by the logit and the gravity models. A realistic application of the proposed model is explored and discussed to a case study located in Savona (Liguria Region, Italy).
2019
978-1-7281-4569-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/997429
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