The electric location routing problem under ambient temperature

Amin Aghalari, Darweesh Salamah, Mohammad Marufuzzaman, Carlos Marino

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

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This study investigates how the location-routing decisions of the electric vehicle (EV) DCFC charging stations are impacted by the ambient temperature. We formulated this problem as a mixed-integer linear programming model that captures the realistic charging behavior of the DCFC's in association with the ambient temperature and their subsequent impact on the EV charging station location and routing decisions. Two innovative heuristics are proposed to solve this challenging model in a realistic test setting, namely, the two-phase Tabu Search-modified Clarke and Wright algorithm and the Sweep-based Iterative Greedy Adaptive Large Neighborhood algorithm. We use Fargo city in North Dakota as a testbed to visualize and validate the algorithm performances. The results clearly indicate that the EV DCFC charging station location decisions are highly sensitive to the ambient temperature, the charging time, and the initial state-of-charge.

Idioma originalInglés
Título de la publicación alojadaIISE Annual Conference and Expo 2021
EditoresA. Ghate, K. Krishnaiyer, K. Paynabar
EditorialInstitute of Industrial and Systems Engineers, IISE
Número de páginas6
ISBN (versión digital)9781713838470
EstadoPublicada - 2021
Publicado de forma externa
EventoIISE Annual Conference and Expo 2021 - Virtual, Online
Duración: 22 may. 202125 may. 2021

Serie de la publicación

NombreIISE Annual Conference and Expo 2021


ConferenciaIISE Annual Conference and Expo 2021
CiudadVirtual, Online


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