An epsilon-optimal algorithm considering greenhouse gas emissions for the management of a ship’s bunker fuel |
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Authors: | Hwa-Joong KimYoung-Tae Chang Kwang-Tae KimHyo-Jeong Kim |
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Institution: | a Graduate School of Logistics, Inha University, 253 Yonghyun-dong, Nam-gu, Incheon 402-751, Republic of Korea b Green Transport & Logistics Systems Research Center, Transport Systems Efficiency Research Team, Korea Railroad Research Institute, 360-1 Woram-dong, Uiwang-si, Gyeongi-do 437-767, Republic of Korea |
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Abstract: | This paper provides an algorithm to minimize the fixed ordering, purchase, and inventory-carrying costs associated with bunker fuel together with ship time costs; and environmental costs associated with greenhouse gas emissions. It determines the optimum ship speed, bunkering ports, and amounts of bunker fuel for a given ship’s route. To solve the problem, we use an epsilon-optimal algorithm by deriving a property. The algorithm is illustrated by applying it to typical sample data obtained and the effects of bunker prices, carbon taxes, and ship time costs on the ship speed are analyzed. The results indicate that the ship speed and CO2 emissions are highly sensitive to the factors considered. |
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Keywords: | Maritime pollution Greenhouse gas emissions Maritime fuel management |
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