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Cost-effectiveness assessment of CO 2 reducing measures in shipping

Author

Listed:
  • Magnus S. Eide
  • Øyvind Endresen
  • Rolf Skjong
  • Tore Longva
  • Sverre Alvik

Abstract

International shipping is a significant contributor to global greenhouse gas (GHG) emissions, and is under mounting pressure to contribute to overall GHG emission reductions. There is an ongoing debate regarding how much the sector could be expected to reduce emissions and how the reduction could be achieved. This paper details a methodology for assessing the cost-effectiveness of technical and operational measures for reducing CO 2 emissions from shipping, through the development of an evaluation parameter called the Cost of Averting a Tonne of CO 2 -eq Heating, CATCH, and decision criterion, against which the evaluation parameter should be evaluated. The methodology is in line with the Intergovernmental Panel on Climate Change (IPCC) and with regulatory work on safety and environmental protection issues at the International Maritime Organization (IMO). The results of this study suggest that CATCH >50 $/tonne of CO 2 -eq should be used as a decision criterion for investment in emission reduction measures for shipping. In total, 13 specific measures for reducing CO 2 emissions have been analysed for two selected case ships to illustrate the methodology. Results from this work shows that several measures are cost effective according to the proposed criterion. The results suggest that cost effective reductions for the fleet may well be in the order of 30% for technical measures, and above 50% when including speed reductions. The results of this study show that the cost effectiveness approach for the regulation of shipping emissions is viable and should be pursued in the ongoing regulatory process.

Suggested Citation

  • Magnus S. Eide & Øyvind Endresen & Rolf Skjong & Tore Longva & Sverre Alvik, 2009. "Cost-effectiveness assessment of CO 2 reducing measures in shipping," Maritime Policy & Management, Taylor & Francis Journals, vol. 36(4), pages 367-384, August.
    • Handle: RePEc:taf:marpmg:v:36:y:2009:i:4:p:367-384
    DOI: 10.1080/03088830903057031
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    Citations

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    Cited by:

    1. Nuchturee, Chalermkiat & Li, Tie & Xia, Hongpu, 2020. "Energy efficiency of integrated electric propulsion for ships – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    2. Baird, Alfred J. & Pedersen, Roy N., 2013. "Analysis of CO2 emissions for island ferry services," Journal of Transport Geography, Elsevier, vol. 32(C), pages 77-85.
    3. Fuller, Sam & Fleming, Kelly & Brown, Austin L. & Sperling, Daniel & Murphy, Colin, 2018. "Environmental Regulation Impacts on Freight Diversion," Institute of Transportation Studies, Working Paper Series qt814582b5, Institute of Transportation Studies, UC Davis.
    4. Suárez de la Fuente, Santiago & Larsen, Ulrik & Pawling, Rachel & García Kerdan, Iván & Greig, Alistair & Bucknall, Richard, 2018. "Using the forward movement of a container ship navigating in the Arctic to air-cool a marine organic Rankine cycle unit," Energy, Elsevier, vol. 159(C), pages 1046-1059.
    5. Al Baroudi, Hisham & Awoyomi, Adeola & Patchigolla, Kumar & Jonnalagadda, Kranthi & Anthony, E.J., 2021. "A review of large-scale CO2 shipping and marine emissions management for carbon capture, utilisation and storage," Applied Energy, Elsevier, vol. 287(C).
    6. Dai, Lei & Hu, Hao & Wang, Zhaojing, 2020. "Is Shore Side Electricity greener? An environmental analysis and policy implications," Energy Policy, Elsevier, vol. 137(C).
    7. Nepomuceno de Oliveira, Maurício Aguilar & Szklo, Alexandre & Castelo Branco, David Alves, 2022. "Implementation of Maritime Transport Mitigation Measures according to their marginal abatement costs and their mitigation potentials," Energy Policy, Elsevier, vol. 160(C).
    8. Yuan, Jun & Nian, Victor & He, Junliang & Yan, Wei, 2019. "Cost-effectiveness analysis of energy efficiency measures for maritime shipping using a metamodel based approach with different data sources," Energy, Elsevier, vol. 189(C).
    9. Hu, Hongtao & Yuan, Jun & Nian, Victor, 2019. "Development of a multi-objective decision-making method to evaluate correlated decarbonization measures under uncertainty – The example of international shipping," Transport Policy, Elsevier, vol. 82(C), pages 148-157.
    10. Simonsen, Morten & Gössling, Stefan & Walnum, Hans Jakob, 2019. "Cruise ship emissions in Norwegian waters: A geographical analysis," Journal of Transport Geography, Elsevier, vol. 78(C), pages 87-97.
    11. Georgopoulou, Chariklia A. & Dimopoulos, George G. & Kakalis, Nikolaos M.P., 2016. "A modular dynamic mathematical model of thermoelectric elements for marine applications," Energy, Elsevier, vol. 94(C), pages 13-28.
    12. Jeroen F. J. Pruyn, 2020. "Benchmarking bulkers delivered between 2010 and 2016, identifying the effect of the EEDI introduction," Journal of Shipping and Trade, Springer, vol. 5(1), pages 1-18, December.
    13. Pierre Franc & Lisa Sutto, 2012. "Cap-and-trade system on CO2 emissions in maritime transport: potential impacts on shipping lines activities [Les permis d’émission de CO2 dans le transport maritime : quels effets possibles sur les," Post-Print halshs-01366275, HAL.
    14. Ghaforian Masodzadeh, Peyman & Ölçer, Aykut I. & Ballini, Fabio & Christodoulou, Anastasia, 2022. "How to bridge the short-term measures to the Market Based Measure? Proposal of a new hybrid MBM based on a new standard in ship operation," Transport Policy, Elsevier, vol. 118(C), pages 123-142.
    15. Yuan, Jun & Ng, Szu Hui, 2017. "Emission reduction measures ranking under uncertainty," Applied Energy, Elsevier, vol. 188(C), pages 270-279.
    16. Dai, Wayne Lei & Fu, Xiaowen & Yip, Tsz Leung & Hu, Hao & Wang, Kun, 2018. "Emission charge and liner shipping network configuration – An economic investigation of the Asia-Europe route," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 291-305.

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