期刊文献+

硫排放控制区和碳排放限制下的班轮航线配船模型 被引量:13

Fleet deployment for liner shipping under the restriction of SO_x emission control areas and CO_2 emission
原文传递
导出
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.
作者 吕靖 毛鹤达
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)
关键词 硫化物排放控制区(SECA) 碳排放 成本最小化 航线配船 SOx emission control areas(SECA) carbon emission cost minimization fleet deployment
  • 相关文献

参考文献6

二级参考文献70

  • 1赵刚,祁斌.上海电煤长江运输系统航线配船优化[J].上海海事大学学报,2004,25(3):51-55. 被引量:3
  • 2陈宝忠,傅爱庆,孙永明.船舶减速航行与主机减额输出节能技术的分析研究[J].中国航海,2005,28(1):82-86. 被引量:21
  • 3杨华龙,钟铭.集装箱班轮航线配船优化决策研究[J].大连海事大学学报,1996,22(3):51-54. 被引量:15
  • 4苏绍娟,王丽铮,王呈方.不确定性航线配船数学模型建模方法[J].船海工程,2007,36(4):100-103. 被引量:11
  • 5Buhaug, J J Corbett, Endresen, et al. Second IMO greenhouse gas study [ R] London: International Maritime Organization, 2009.
  • 6Eurardm. Optimization procedures in maritime fleet management [ J ]. Maritime Policy and Management, 1987(1) : 27-48.
  • 7Perakis A N, Jaramillo D I. Fleet deployment optimization for liner shipping Partl, Background, problem formulation and solution approaches [ J ]. Maritime Policy and Management, 1991, 18 ( 3 ) : 183-200.
  • 8Jaramill D I, erakis A N. Fleet deployment optimization for liner shipping PartII: Implementation and results [ J 1. Maritime Policy and Management, 1991, 18(4) .235-262.
  • 9Powell B J, Perakis A N. Fleet deployment optimization for liner shipping: An integer programming model [J ]. Maritime Policy and Management, 1997, 123 (4) :34-35.
  • 10Cho S C, Perakis A N. Optimal liner fleet routing strategies [ J ]. Maritime Policy and Management, 1996, 23 ( 3 ) :249-259.

共引文献57

同被引文献68

引证文献13

二级引证文献22

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部