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Opportunities for peak shaving the energy demand of ship-to-shore quay cranes at container terminals

Author

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  • Harry Geerlings

    (Erasmus University Rotterdam, Erasmus School of Social and Behavioural Sciences/ Erasmus Smart Port)

  • Robert Heij

    (Delft University of Technology, Faculty of Technology, Policy and Management)

  • Ron van Duin

    (Delft University of Technology, Faculty of Technology, Policy and Management
    Rotterdam University of Applied Sciences)

Abstract

This paper presents the results of both a qualitative and a quantitative study on the possibilities for peak shaving the energy demand of ship-to-shore (STS) cranes at container terminals. The objective is to present an energy consumption model that visualizes the energy demand of STS cranes and to show the possibilities for reducing the peak demand of STS cranes by implementing rules of operation (i.e. changes to the business operational procedures). The results show that the peak demand (and peak-related costs) can be reduced by 50%, with an increase in the handling time of containerships of less than half a minute per hour handling time. This can be achieved by reducing the maximum energy demand of all operating STS cranes or by limiting the maximum number of simultaneously lifting STS cranes. If (one of) these rules of operation is implemented, an intermediate container terminal with six to eight STS cranes can save up to €250,000 per year, which is about 48% of total peak-related energy costs.

Suggested Citation

  • Harry Geerlings & Robert Heij & Ron van Duin, 2018. "Opportunities for peak shaving the energy demand of ship-to-shore quay cranes at container terminals," Journal of Shipping and Trade, Springer, vol. 3(1), pages 1-20, December.
    • Handle: RePEc:spr:josatr:v:3:y:2018:i:1:d:10.1186_s41072-018-0029-y
    DOI: 10.1186/s41072-018-0029-y
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    References listed on IDEAS

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    1. Bierwirth, Christian & Meisel, Frank, 2010. "A survey of berth allocation and quay crane scheduling problems in container terminals," European Journal of Operational Research, Elsevier, vol. 202(3), pages 615-627, May.
    2. Meersmans, P.J.M. & Wagelmans, A.P.M., 2001. "Effective algorithms for integrated scheduling of handling equipment at automated container terminals," ERIM Report Series Research in Management ERS-2001-36-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. Cao, Jin Xin & Lee, Der-Horng & Chen, Jiang Hang & Shi, Qixin, 2010. "The integrated yard truck and yard crane scheduling problem: Benders' decomposition-based methods," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 344-353, May.
    4. Imai, Akio & Sasaki, Kazuya & Nishimura, Etsuko & Papadimitriou, Stratos, 2006. "Multi-objective simultaneous stowage and load planning for a container ship with container rehandle in yard stacks," European Journal of Operational Research, Elsevier, vol. 171(2), pages 373-389, June.
    5. He, Junliang & Chang, Daofang & Mi, Weijian & Yan, Wei, 2010. "A hybrid parallel genetic algorithm for yard crane scheduling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(1), pages 136-155, January.
    6. Chen, Lu & Bostel, Nathalie & Dejax, Pierre & Cai, Jianguo & Xi, Lifeng, 2007. "A tabu search algorithm for the integrated scheduling problem of container handling systems in a maritime terminal," European Journal of Operational Research, Elsevier, vol. 181(1), pages 40-58, August.
    7. Henry Lau & Ying Zhao, 2008. "Integrated scheduling of handling equipment at automated container terminals," Annals of Operations Research, Springer, vol. 159(1), pages 373-394, March.
    8. I D Wilson & P A Roach, 2000. "Container stowage planning: a methodology for generating computerised solutions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(11), pages 1248-1255, November.
    9. Kim, Kap Hwan & Park, Young-Man, 2004. "A crane scheduling method for port container terminals," European Journal of Operational Research, Elsevier, vol. 156(3), pages 752-768, August.
    10. Lau, Henry Y.K. & Zhao, Ying, 2008. "Integrated scheduling of handling equipment at automated container terminals," International Journal of Production Economics, Elsevier, vol. 112(2), pages 665-682, April.
    11. Bortfeldt, Andreas & Gehring, Hermann, 2001. "A hybrid genetic algorithm for the container loading problem," European Journal of Operational Research, Elsevier, vol. 131(1), pages 143-161, May.
    12. Chen, Lu & Langevin, André & Lu, Zhiqiang, 2013. "Integrated scheduling of crane handling and truck transportation in a maritime container terminal," European Journal of Operational Research, Elsevier, vol. 225(1), pages 142-152.
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    Cited by:

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    6. Eleftherios Sdoukopoulos & Maria Boile & Alkiviadis Tromaras & Nikolaos Anastasiadis, 2019. "Energy Efficiency in European Ports: State-Of-Practice and Insights on the Way Forward," Sustainability, MDPI, vol. 11(18), pages 1-25, September.

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