This work focuses on the optimal location of refuelling stations for hydrogen-powered freight vehicles. After describing the proposed optimisation model, the paper aims to test different solution algorithms on a test network to verify their applicability to real-sized networks. The results show that some algorithms solve in a time compatible with a possible application to a real-sized network, while others are very time-consuming and are not compatible with real-world applications. From the analyses, greedy and evolutionary algorithms are the most promising in terms of the trade-off between solution quality and computation time.
Optimal Location of Refuelling Stations for Hydrogen-Powered Freight Vehicles: A Comparison of Solution Algorithms
Gallo, Mariano
2025-01-01
Abstract
This work focuses on the optimal location of refuelling stations for hydrogen-powered freight vehicles. After describing the proposed optimisation model, the paper aims to test different solution algorithms on a test network to verify their applicability to real-sized networks. The results show that some algorithms solve in a time compatible with a possible application to a real-sized network, while others are very time-consuming and are not compatible with real-world applications. From the analyses, greedy and evolutionary algorithms are the most promising in terms of the trade-off between solution quality and computation time.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


