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作 者:吕靖 鲍乾 LYU Jing;BAO Qian(College of Transportation Engineering, Dalian Martime University, Dalian 116026, Liaoning, China)
机构地区:[1]大连海事大学交通运输工程学院,辽宁大连116026
出 处:《上海海事大学学报》2022年第2期25-31,39,共8页Journal of Shanghai Maritime University
基 金:国家自然科学基金(71974023);国家社会科学基金(19VHQ012);中央高校基本科研业务费专项资金(313209302)。
摘 要:针对在硫排放限制和碳减排背景下的集装箱班轮航线配船问题,建立以集装箱班轮船队运营成本与碳排放成本之和最小为目标的非线性规划模型,将船舶分配、使用合规低硫燃油和安装闭式脱硫装置的硫减排措施选择、硫排放控制区(sulphur emission control area,SECA)内外的航速作为决策变量,利用遗传算法求解,得到最优配船方案。对油价差和碳税税率进行敏感性分析。选用某公司3条经过SECA的航线进行算例分析,验证模型和算法的有效性。研究内容可帮助船公司节能减排,降低运营成本。For the container liner route fleet deployment issue under the background of the sulphur emission limitation and the carbon emission reduction,a nonlinear programming model is established to achieve the minimization of the sum of operation cost and carbon emission cost of the container liner fleet.The ship allocation,the selection of sulfur emission reduction measures of using the compliant low-sulfur fuel oil and installing the closed-type desulfurization equipment,and the speeds inside and outside the sulphur emission control areas(SECAs)are taken as decision variables.The genetic algorithm is used to solve the model to obtain the optimal fleet deployment plan.The sensitivity analysis on the oil price difference and the carbon tax rate is carried out.The three routes of a company through SECAs are selected for example analysis to verify the effectiveness of the model and algorithm.The research can help shipping companies save energy,reduce emissions,and reduce operation cost.
关 键 词:硫排放控制区(SECA) 碳减排 航线配船 集装箱班轮
分 类 号:U692.3[交通运输工程—港口、海岸及近海工程]
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