Energy consumption in Roll-on/Roll-off (Ro-Ro) terminals is significantly influenced by the internal movement of vehicles, storage layout, and the frequency of vessel departures. Terminals with European-bound lines generally operate with more regularity and store vehicles near the quay, while those serving non-European destinations must store vehicles in more remote areas, leading to longer displacement times, higher fuel consumption, and increased CO2 emissions. In this study, we present a quantitative evaluation of energy optimization through the implementation of Internet of Vehicles (IoV) in Ro-Ro terminals. By comparing conventional manual operations with an automated IoV-enabled scenario, we analyzed the impact on fuel consumption, energy cost, CO2 emissions, and idle energy loss. Two sustainability indicators (Sustainable Risk Index (SRI) and Carbon Intensity Factor (CIF)) were introduced to assess and compare the environmental performance of different terminal configurations. The findings show that IoV adoption significantly reduces energy consumption and emissions, particularly in terminals with greater internal travel distances. This research offers practical tools for port managers and decision-makers and contributes to the broader discourse on smart energy solutions and digital transformation in port logistics.
Citation: Nicoletta González-Cancelas, Javier Vaca-Cabrero, Alberto Camarero-Orive. Optimizing energy efficiency in Ro-Ro terminal operations through internal traffic automation with internet of vehicles (IoV)[J]. AIMS Energy, 2025, 13(6): 1365-1390. doi: 10.3934/energy.2025051
Energy consumption in Roll-on/Roll-off (Ro-Ro) terminals is significantly influenced by the internal movement of vehicles, storage layout, and the frequency of vessel departures. Terminals with European-bound lines generally operate with more regularity and store vehicles near the quay, while those serving non-European destinations must store vehicles in more remote areas, leading to longer displacement times, higher fuel consumption, and increased CO2 emissions. In this study, we present a quantitative evaluation of energy optimization through the implementation of Internet of Vehicles (IoV) in Ro-Ro terminals. By comparing conventional manual operations with an automated IoV-enabled scenario, we analyzed the impact on fuel consumption, energy cost, CO2 emissions, and idle energy loss. Two sustainability indicators (Sustainable Risk Index (SRI) and Carbon Intensity Factor (CIF)) were introduced to assess and compare the environmental performance of different terminal configurations. The findings show that IoV adoption significantly reduces energy consumption and emissions, particularly in terminals with greater internal travel distances. This research offers practical tools for port managers and decision-makers and contributes to the broader discourse on smart energy solutions and digital transformation in port logistics.
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