Journal
COMPUTERS & CHEMICAL ENGINEERING
Volume 162, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compchemeng.2022.107789
Keywords
Small-scale LNG; LNG bunkering; LNG as a marine fuel; Forecasting; Optimization; Mixed-integer linear programming
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LNG provides a viable option for emission control in the maritime industry. This study proposes a model to optimize the ship-to-ship LNG bunkering supply chain and offers a tactical and strategic decision-making tool.
LNG (Liquefied Natural Gas) provides a viable option to comply with emission control measures as an alternative marine fuel. Supply chain optimization is critical for LNG bunkering development in the mar-itime context as it requires high capital-expenditure. This study proposes a model for optimizing the ship-to-ship LNG bunkering supply chain. The related problem is defined as a Multiple Period Maritime Fleet Size and Routing Problem. The proposed mathematical model has been solved for various demand scenarios obtained by multiple regression and forecasting as a case study of ship-to-ship LNG bunker deliveries in Turkey. The model presents an optimal solution as a tactical and strategic decision-making tool, finds the number and size of the LNG bunker barges and the optimum allocation of the barges and the distribution network within a ship-to-ship bunkering framework. Moreover, it provides a commercial framework for shipowners and suppliers by determining the breakeven point for investment decisions.(c) 2022 Elsevier Ltd. All rights reserved.
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