Green logistics of crude oil transportation: A multi-objective optimization approach

Refinery Green Logistics
DOI: 10.1016/j.clscn.2021.100002 Publication Date: 2021-08-10T05:15:30Z
ABSTRACT
Crude oil logistics activities, which are mostly carried out using ships, one of the contributors to greenhouse gas (GHG) emissions. GHG emissions from activities predicted increase significantly by 2050, so they need be controlled with right planning strategy. This study aims apply green concept in crude transportation that considers multiple depots and heterogeneous fleets multi-objective optimization (MOO). investigates a case refinery unit 6 scenarios single-objective (SOO) MOO cases. Each differs objective functions ship's fuel type (i.e. diesel LNG). Optimization is performed select best option supply sources ships carry each scenario. The results show scenarios, use LNG fueled optimized routes can reduce CO2 logistic costs 27.8% 50.6% compared average current also better diesel-fueled option, it 18.5% without significant total cost. Furthermore, SOO comparison shows effect applying MOO, resulting less unnoticeable change
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