IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v39y2011i6p3456-3464.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421511002242
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    4. 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.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kjetil Fagerholt *, 2004. "Designing optimal routes in a liner shipping problem," Maritime Policy & Management, Taylor & Francis Journals, vol. 31(4), pages 259-268, October.
    2. Marielle Christiansen & Kjetil Fagerholt & David Ronen, 2004. "Ship Routing and Scheduling: Status and Perspectives," Transportation Science, INFORMS, vol. 38(1), pages 1-18, February.
    3. Said El Noshokaty, 2017. "Shipping Optimisation Systems (SOS): tramp optimisation perspective," Journal of Shipping and Trade, Springer, vol. 2(1), pages 1-36, December.
    4. Wu, Lingxiao & Pan, Kai & Wang, Shuaian & Yang, Dong, 2018. "Bulk ship scheduling in industrial shipping with stochastic backhaul canvassing demand," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 117-136.
    5. Alexandre Tisserant & Stefan Pauliuk, 2016. "Matching global cobalt demand under different scenarios for co-production and mining attractiveness," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 5(1), pages 1-19, December.
    6. Foster-McGregor, Neil & Nomaler, Önder & Verspagen, Bart, 2021. "Job Automation Risk, Economic Structure and Trade: a European Perspective," Research Policy, Elsevier, vol. 50(7).
    7. Alexandre Tisserant & Stefan Pauliuk, 2016. "Matching global cobalt demand under different scenarios for co-production and mining attractiveness," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 5(1), pages 1-19, December.
    8. K Fagerholt & G Laporte & I Norstad, 2010. "Reducing fuel emissions by optimizing speed on shipping routes," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(3), pages 523-529, March.
    9. Chen, Z.M. & Chen, G.Q., 2011. "Embodied carbon dioxide emission at supra-national scale: A coalition analysis for G7, BRIC, and the rest of the world," Energy Policy, Elsevier, vol. 39(5), pages 2899-2909, May.
    10. Bin Yu & Zixuan Peng & Zhihui Tian & Baozhen Yao, 2019. "Sailing speed optimization for tramp ships with fuzzy time window," Flexible Services and Manufacturing Journal, Springer, vol. 31(2), pages 308-330, June.
    11. Fagerholt, Kjetil & Christiansen, Marielle & Magnus Hvattum, Lars & Johnsen, Trond A.V. & Vabø, Thor J., 2010. "A decision support methodology for strategic planning in maritime transportation," Omega, Elsevier, vol. 38(6), pages 465-474, December.
    12. Sambracos, E. & Paravantis, J. A. & Tarantilis, C. D. & Kiranoudis, C. T., 2004. "Dispatching of small containers via coastal freight liners: The case of the Aegean Sea," European Journal of Operational Research, Elsevier, vol. 152(2), pages 365-381, January.
    13. Wiedmann, Thomas, 2009. "A review of recent multi-region input-output models used for consumption-based emission and resource accounting," Ecological Economics, Elsevier, vol. 69(2), pages 211-222, December.
    14. Harilaos N. Psaraftis, 2019. "Ship routing and scheduling: the cart before the horse conjecture," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 21(1), pages 111-124, March.
    15. Kirsten Svenja Wiebe & Eivind Lekve Bjelle & Johannes Többen & Richard Wood, 2018. "Implementing exogenous scenarios in a global MRIO model for the estimation of future environmental footprints," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-18, December.
    16. J E Korsvik & K Fagerholt & G Laporte, 2010. "A tabu search heuristic for ship routing and scheduling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(4), pages 594-603, April.
    17. Wiedmann, Thomas & Lenzen, Manfred & Turner, Karen & Barrett, John, 2007. "Examining the global environmental impact of regional consumption activities -- Part 2: Review of input-output models for the assessment of environmental impacts embodied in trade," Ecological Economics, Elsevier, vol. 61(1), pages 15-26, February.
    18. Persson, Jan A. & Gothe-Lundgren, Maud, 2005. "Shipment planning at oil refineries using column generation and valid inequalities," European Journal of Operational Research, Elsevier, vol. 163(3), pages 631-652, June.
    19. Marielle Christiansen & Kjetil Fagerholt, 2002. "Robust ship scheduling with multiple time windows," Naval Research Logistics (NRL), John Wiley & Sons, vol. 49(6), pages 611-625, September.
    20. Kjetil Fagerholt & Lars Hvattum & Trond Johnsen & Jarl Korsvik, 2013. "Routing and scheduling in project shipping," Annals of Operations Research, Springer, vol. 207(1), pages 67-81, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:39:y:2011:i:6:p:3456-3464. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.