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.
2025
algorithms
freight transport
fuel cell electric vehicles
hydrogen refuelling stations
location problems
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12070/73686
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