Reduction of carbon emission from yard under replacement of handling equipment

  • ZHOU Ying ,
  • DING Yi ,
  • LIN Guo-long
Expand
  • (Logistics Research Center, Shanghai Maritime University, Shanghai 201306, China)

Received date: 2017-11-17

  Revised date: 2018-02-06

  Online published: 2024-06-27

Abstract

The long service time of rubber tyred gantry crane (RTG) and the aging of the equipment used in the container yard are the main reasons for the increase of carbon emissions in the dock yard. To solve this problem, the rail mounted gantry crane (RMG) is used to replace RTG. Based on the constant amount of planned operation of storage yard, a multi-stage mixed integer programming model was established to reduce the carbon emission of storage yard. The example analysis results show that the annual operation cost of the yard was reduced by 4.91 million yuan under the constraint of 30% reduction in carbon emission, and the automation transformation cost can be recovered in 29 years. With the improvement of the monthly work capacity of a single RMG, the reconstruction cost and the cost recovery time will be significantly reduced.

Cite this article

ZHOU Ying , DING Yi , LIN Guo-long . Reduction of carbon emission from yard under replacement of handling equipment[J]. Journal of Dalian Maritime University, 2018 , 44(3) : 122 -128 . DOI: 10.16411/j.cnki.issn1006-7736.2018.03.018

References

[1]Jung S H, Kim K H.Load scheduling for multiple quay cranes in port container terminals[J].Journal of Intelligent Manufacturing, 2006, 17(4):479-492
[2]Chang D, Jiang Z, Yan W, et al.Developing a dynamic rolling-horizon decision strategy for yard crane scheduling[J].Advanced Engineering Informatics, 2011, 25(3):485-494
[3]郑红星, 于凯, 李芳芳, 等.考虑外集卡的混堆集装箱码头多场桥调度[J].计算机集成制造系统, 2014, 20(12):3161-3169
[4]邵乾虔, 徐奇, 边展, 等.考虑了交箱时间不确定性的场桥堆存作业优化[J].系统工程理论与实践, 2015, 35(2):394-405
[5]魏晨, 胡志华, 高超锋, 等.自动化集装箱码头堆场内双设备调度模型与算法[J].大连海事大学学报, 2015, 41(4):75-80
[6]He J, Chang D, Mi W, et al.A hybrid parallel genetic algorithm for yard crane scheduling[J].Transportation Research Part E Logistics & Transportation Review, 2010, 46(1):136-155
[7]邵乾虔, 徐婷婷, 杨惠云, 等.集卡分批到达模式下的进口箱场桥作业调度优化[J].控制与决策, 2016, 31(9):1654-1662
[8]RICHARD J.LINN,CHU-QIAN ZHANGA heuristic for dynamic yard crane deployment in a container terminal[J].IIE Transactions, 2003, 35(2):161-174
[9]李建忠.码头堆场龙门设备动态配置优化模型[J].交通运输工程学报, 2005, 5(1):70-74
[10]李建忠, 丁以中, 王斌.集装箱堆场空间动态配置模型[J].交通运输工程学报, 2007, 7(3):50-55
[11]Liang P K, Lee L H, Chew E P, et al.An optimisation framework for yard planning in a container terminal: case with automated rail-mounted gantry cranes[J].OR Spectrum, 2010, 32(3):519-541
[12]CANRONG ZHANG, ZHIHAI ZHANG, LI ZHENG, et al.A DECISION SUPPORT SYSTEM FOR THE ALLOCATION OF YARD CRANES AND BLOCKS IN CONTAINER TERMINALS[J].Asia-Pacific Journal of Operational Research, 2011, 28(06):803-829
[13]Guo X, Huang S Y.Dynamic Space and Time Partitioning for Yard Crane Workload Management in Container Terminals[J].Transportation Science, 2012, 46(1):134-148
[14]檀财茂, 黄有方, 严伟, 等.空间和设备资源限制条件下集装箱码头堆场空间分配两阶段优化方法[J].上海海事大学学报, 2016, 37(3):1-6
[15]Stasko, T. H. and H.Oliver Gao.Reducing transit fleet emissions through vehicle retrofits, replacements, and usage changes over multiple time periods[J].Transportation Research Part D: Transport and Environment, 2010, 15(5):254-262
[16]Stasko, T. H. and H. Oliver Gao.Developing green fleet management strategies: Repair/ retrofit/ replacement decisions under environmental regulation[J].Transportation Research Part A: Plicy and Practice, 2012, 46(8):1216-1226
[17]Parthanadee, Parthana, J. Buddhakulsomsiri, and P. Charnsethikul.A study of replacement rules for a parallel fleet replacement problem based on user preference utilization pattern and alternative fuel considerations[J].Computers & Industrial Engineering, 2012, 63(1):46-57
[18]Ansaripoor, Amir H., F. S. Oliveira, and A. Liret.A risk management system for sustainable fleet replacement[J].European Journal of Operational Research, 2014, 237(2):701-712
[19]FANDavidWei.不确定性条件下的设备替换优化的随机动态规划方法[J].交通运输系统工程与信息, 2014, 14(3):000076-84
[20]国家统计局能源统计司.中国能源统计年鉴. 2013[M]. 中国统计出版社, 2016.
[21]IPCC2006.2006年IPCC国家温室气体清单指南[M]. 日本全球环境战略研究所, 2006: 1-7.
[22]国家发改委应对气候变化司.2014年中国区域电网基准线排放因子[EB/OL].http://www.tanpaifang.com/download/China%20's%20regional%20power%20grid%20baseline%20emissions%20factor%202015.pdf
[23].
Outlines

/