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Reductions in greenhouse gas emissions and cost by shipping at lower speeds

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  • Lindstad, Haakon
  • Asbjørnslett, Bjørn E.
  • Strømman, Anders H.

Abstract

CO2 emissions from maritime transport represent a significant part of total global greenhouse gas (GHG) emissions. According to the International Maritime Organization (Second IMO GHG study, 2009), maritime transport emitted 1046 million tons (all tons are metric) of CO2 in 2007, representing 3.3% of the world's total CO2 emissions. The International Maritime Organization (IMO) is currently debating both technical and market-based measures for reducing greenhouse gas emissions from shipping. This paper presents investigations on the effects of speed reductions on the direct emissions and costs of maritime transport, for which the selection of ship classes was made to facilitate an aggregated representation of the world fleet. The results show that there is a substantial potential for reducing CO2 emissions in shipping. Emissions can be reduced by 19% with a negative abatement cost (cost minimization) and by 28% at a zero abatement cost. Since these emission reductions are based purely on lower speeds, they can in part be performed now.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:enepol:v:39:y:2011:i:6:p:3456-3464
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    1. Fagerholt, Kjetil, 2001. "Ship scheduling with soft time windows: An optimisation based approach," European Journal of Operational Research, Elsevier, vol. 131(3), pages 559-571, June.
    2. Faye Duchin, 2005. "A world trade model based on comparative advantage with m regions, n goods, and k factors," Economic Systems Research, Taylor & Francis Journals, vol. 17(2), pages 141-162.
    3. Fagerholt, Kjetil & Lindstad, Håkon, 2000. "Optimal policies for maintaining a supply service in the Norwegian Sea," Omega, Elsevier, vol. 28(3), pages 269-275, June.
    4. Anders Hammer Strømman & Faye Duchin, 2006. "A world trade model with bilateral trade based on comparative advantage," Economic Systems Research, Taylor & Francis Journals, vol. 18(3), pages 281-297.
    5. Dan O. Bausch & Gerald G. Brown & David Ronen, 1998. "Scheduling short-term marine transport of bulk products," Maritime Policy & Management, Taylor & Francis Journals, vol. 25(4), pages 335-348, October.
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