摘要
硫化物排放控制区(SECA)的划定和预计征收的碳排放税增加了集装箱班轮公司的运营成本.选择航经SECA的3条代表性班轮航线,将船型选择、船舶数量及航速作为决策变量,建立集装箱班轮船队总营运成本与碳排放成本之和最小的非线性规划模型,用Lingo11.0软件进行求解.案例分析验证了模型和算法的有效性.研究内容将有效帮助班轮公司应对"绿色航运"背景下的环保和成本双重压力,具有重要的实际参考意义.
The operating costs of container liners will increase by reason of the accomplishment of the SO_x emission control areas( SECA) and the imposition of carbon emission tax. The fleet deployment was studied by selecting three typical lines through the SECA. Taking the ship types,the number of ships and the speed as decision variables,a nonlinear programming model was established to achieve the minimization of container fleet cost and the carbon emission cost. The Lingo11. 0 software was used to solve the model. Case study verifies the validity of the model and algorithm. Under the background of "Green Shipping",the study can help liner companies to reply the dual pressures from environmental protection and operating cost,which has great practical significance.
出处
《大连海事大学学报》
CAS
CSCD
北大核心
2017年第1期101-105,共5页
Journal of Dalian Maritime University
基金
国家自然科学基金资助项目(71473023)
中央高校基本科研业务费专项资金资助(3132016359)