期刊文献+

硫排放限制下航线配船优化与减排策略选择 被引量:3

Fleet deployment optimization and emission reduction strategy selection under sulfur emission limits
下载PDF
导出
摘要 鉴于2020年后更加严格的限硫规定的实施,在硫排放限制下研究燃油切换和脱硫洗涤两种策略下班轮运输航线配船优化与减排策略选择问题。综合考虑船型、船舶数量、船速、环境等因素,分别建立两种策略下船队运营和环境整体成本最小优化模型,并设计遗传算法进行求解。通过对某班轮公司的航线网络进行实例演算验证模型和算法的有效性。结果表明,与燃油切换策略相比,脱硫洗涤策略的经济效益更加明显,更能减少大气污染物的排放;在油价和硫排放限制下,脱硫洗涤策略显得更具有市场竞争力,能满足班轮公司的减排和利益需求。通过对船舶在硫排放控制区内的航行距离和油价进行灵敏度分析进一步验证了结果。 In view of the implementation of the more stringent sulfur limit regulation after 2020,the fleet deployment optimization and the emission reduction strategy selection of liner transportation are studied under sulfur emission limits and two strategies of fuel switching and desulfurization scrubbing.Considering factors such as ship type,number of ships,ship speed,environment,the optimization models under two strategies are established,respectively,with the objective of the minimum total cost of fleet operation and environment,and the genetic algorithm is designed to solve them.Through an example calculation of a liner company’s route network,the effectiveness of the model and the algorithm is verified.The results show that the desulfurization scrubbing strategy is more economical than the fuel switching strategy,and it can reduce the emission of air pollutants significantly;with the limits of fuel prices and sulfur emissions,the desulfurization scrubbing strategy appears to be more competitive in the market and can meet the emission reduction and benefit needs of liner companies.The sensitivity analysis of the ship navigation distance in the sulfur emission control area and the fuel prices further verifies the results.
作者 蒋琳雅 胡坚堃 JIANG Linya;HU Jiankun(Institute of Logistics Science and Engineering,Shanghai Maritime University,Shanghai 201306,China)
出处 《上海海事大学学报》 北大核心 2021年第2期81-87,共7页 Journal of Shanghai Maritime University
基金 国家自然科学基金(71801150) 上海市科学技术委员会科研计划(17DZ2280200,19511105002)。
关键词 硫排放 航线配船 船速优化 减排策略选择 sulfur emission fleet deployment ship speed optimization emission reduction strategy selection
  • 相关文献

参考文献6

二级参考文献46

  • 1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
  • 2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
  • 3Buhaug, J J Corbett, Endresen, et al. Second IMO greenhouse gas study [ R] London: International Maritime Organization, 2009.
  • 4Eurardm. Optimization procedures in maritime fleet management [ J ]. Maritime Policy and Management, 1987(1) : 27-48.
  • 5Perakis 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.
  • 6Jaramill 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.
  • 7Powell 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.
  • 8Cho S C, Perakis A N. Optimal liner fleet routing strategies [ J ]. Maritime Policy and Management, 1996, 23 ( 3 ) :249-259.
  • 9Hughes C. Ship performance: Technical,safety, environmental and commercial aspects [ M ]. London: Lloyd' s of London Press, 1996.
  • 10Institutfur Seeverkehrswirtschaft, Logistik. Reducing the sulphur content of shipping fuels further to 0.1% in the North Sea and Baltic Sea in 2015 [ R]. Consequences for shipping in this shipping area. Sep,2010.

共引文献59

同被引文献18

引证文献3

二级引证文献5

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