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Optimal ship speed and the cubic law revisited: Empirical evidence from an oil tanker fleet

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  • Adland, Roar
  • Cariou, Pierre
  • Wolff, Francois-Charles

Abstract

We develop a flexible framework for the estimation of the fuel consumption-speed curve for ships which allows for speed-dependent elasticity with endogenous thresholds. Using a large dataset of noon reports for 16 crude oil tankers, we estimate the corresponding elasticities net of weather effects. Our empirical findings confirm that the classical cubic law for fuel consumption is valid only near the design speed but also that the sensitivity with regards to sailing speed can be substantially lower at the sailing speeds actually observed. Our results can be used to question the economic and environmental benefits of slow-steaming and fuel levies.

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  • Adland, Roar & Cariou, Pierre & Wolff, Francois-Charles, 2020. "Optimal ship speed and the cubic law revisited: Empirical evidence from an oil tanker fleet," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    • Handle: RePEc:eee:transe:v:140:y:2020:i:c:s1366554520306232
    DOI: 10.1016/j.tre.2020.101972
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    1. Lo, Hong K. & McCord, Mark R., 1995. "Routing through dynamic ocean currents: General heuristics and empirical results in the gulf stream region," Transportation Research Part B: Methodological, Elsevier, vol. 29(2), pages 109-124, April.
    2. Cox, Donald & Hansen, Bruce E. & Jimenez, Emmanuel, 2004. "How responsive are private transfers to income? Evidence from a laissez-faire economy," Journal of Public Economics, Elsevier, vol. 88(9-10), pages 2193-2219, August.
    3. Meng, Qiang & Du, Yuquan & Wang, Yadong, 2016. "Shipping log data based container ship fuel efficiency modeling," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 207-229.
    4. Roar Adland & Haiying Jia, 2018. "Dynamic speed choice in bulk shipping," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(2), pages 253-266, June.
    5. Wu, Wei-Ming, 2020. "The optimal speed in container shipping: Theory and empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    6. Lindstad, Haakon & Asbjørnslett, Bjørn E. & Strømman, Anders H., 2011. "Reductions in greenhouse gas emissions and cost by shipping at lower speeds," Energy Policy, Elsevier, vol. 39(6), pages 3456-3464, June.
    7. Du, Yuquan & Meng, Qiang & Wang, Shuaian & Kuang, Haibo, 2019. "Two-phase optimal solutions for ship speed and trim optimization over a voyage using voyage report data," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 88-114.
    8. D Ronen, 2011. "The effect of oil price on containership speed and fleet size," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(1), pages 211-216, January.
    9. Harilaos N. Psaraftis, 2019. "Speed Optimization vs Speed Reduction: the Choice between Speed Limits and a Bunker Levy," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    10. Jun Xia & Kevin X. Li & Hong Ma & Zhou Xu, 2015. "Joint Planning of Fleet Deployment, Speed Optimization, and Cargo Allocation for Liner Shipping," Transportation Science, INFORMS, vol. 49(4), pages 922-938, November.
    11. ManWo Ng, 2019. "Vessel speed optimisation in container shipping: A new look," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(4), pages 541-547, April.
    12. He, Qie & Zhang, Xiaochen & Nip, Kameng, 2017. "Speed optimization over a path with heterogeneous arc costs," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 198-214.
    13. Wang, Shuaian & Meng, Qiang, 2012. "Sailing speed optimization for container ships in a liner shipping network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(3), pages 701-714.
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