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Strategies of refueling, sailing speed and ship deployment of containerships in the low-carbon background

机译:低碳背景下集装箱船的加油,航行速度和船舶部署策略

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摘要

To solve the problems of refueling, ship speed determination and ship deployment of containerships, based on the nonlinear relationship between ship sailing speed, fuel consumption and carbon emissions, a corresponding nonlinear mixed integer programming model is developed by taking container transportation cost, fuel consumption cost and carbon emissions cost in multiple service routes as the total cost objective function, and ship refueling ports, refueling amounts, sailing speed and ship deployment quantities in the route as decision variables. The optimal solution can be obtained by transforming the nonlinear discrete mixed integer programming model into a nonlinear continuous programming model. The proposed model is applied to an Asia-Europe service route of China Shipping (Group) Company. The results show that the optimal refueling policy, speed selection and ship deployment can be determined using the proposed model and solution method. The impact of fuel price, container transportation quantity, ship tanker capacity and carbon tax rate on ship refueling strategy, speed and deployment is investigated. Some insights obtained from example analysis are provided.
机译:针对集装箱船加油,确定航速和调配船舶的问题,基于船舶航行速度,油耗和碳排放之间的非线性关系,通过考虑集装箱运输成本,油耗成本,建立了相应的非线性混合整数规划模型。多条服务航线的碳排放成本作为总成本目标函数,而航线中的船舶加油港口,加油量,航行速度和船舶部署数量则作为决策变量。通过将非线性离散混合整数规划模型转换为非线性连续规划模型可以获得最优解。将该模型应用于中国海运(集团)公司的亚欧航线。结果表明,所提出的模型和求解方法可以确定最佳的加油策略,航速选择和船舶部署。研究了燃料价格,集装箱运输量,轮船容量和碳税率对船舶加油策略,速度和部署的影响。提供了从示例分析中获得的一些见解。

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