Logistic hubs, and especially container terminals, are today responsible for a major percentage of the environmental pollution. Practices such as the onshore power supply (OPS) may have relevant benefits but it has been argued that container terminal operators perceive a paucity of evidence that the benefits derived from the implementation of these practices exceed the investment costs. To this end, an advanced simulation-based decision support system is proposed in this article to represent a reliable test environment to simulate and compare different alternatives in terms of environmental impacts and economic sustainability. The implementation of an OPS system is considered as case study. Results show that an OPS system must consider the source of the electric power needed by ships at berth, i.e., coal, biofuels or renewable energies. The unit costs of 1 m3 of saved CO2 and NOX by implementing an OPS system are also calculated.

Sustainability in logistic hubs: A decision support system for investigating green practices at container terminals

Longo F.
2019

Abstract

Logistic hubs, and especially container terminals, are today responsible for a major percentage of the environmental pollution. Practices such as the onshore power supply (OPS) may have relevant benefits but it has been argued that container terminal operators perceive a paucity of evidence that the benefits derived from the implementation of these practices exceed the investment costs. To this end, an advanced simulation-based decision support system is proposed in this article to represent a reliable test environment to simulate and compare different alternatives in terms of environmental impacts and economic sustainability. The implementation of an OPS system is considered as case study. Results show that an OPS system must consider the source of the electric power needed by ships at berth, i.e., coal, biofuels or renewable energies. The unit costs of 1 m3 of saved CO2 and NOX by implementing an OPS system are also calculated.
Container terminal; Green port; Logistics; M&S; Modelling and simulation; Onshore power supply; OPS; Sustainability
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/301182
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