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An energy consumption approach to estimate air emission reductions in container shipping
Czermanski, E.; Cirella, G.T.; Oniszczuk-Jastrzabek, A.; Pawlowska, B.; Notteboom, T. (2021). An energy consumption approach to estimate air emission reductions in container shipping. Energies (Basel) 14(2): 278. https://hdl.handle.net/10.3390/en14020278
In: Energies (Basel). Molecular Diversity Preservation International (MDPI): Basel. ISSN 1996-1073; e-ISSN 1996-1073
Peer reviewed article  

Available in  Authors 
    Vlaams Instituut voor de Zee: Open access 361149 [ download pdf ]

Keyword
    Marine/Coastal
Author keywords
    container shipping; emissions; maritime transport; sustainable shipping; green shipping; IMO

Authors  Top 
  • Czermanski, E.
  • Cirella, G.T.
  • Oniszczuk-Jastrzabek, A.
  • Pawlowska, B.
  • Notteboom, T.

Abstract
    Container shipping is the largest producer of emissions within the maritime shipping industry. Hence, measures have been designed and implemented to reduce ship emission levels. IMO’s MARPOL Annex VI, with its future plan of applying Tier III requirements, the Energy Efficiency Design Index for new ships, and the Ship Energy Efficiency Management Plan for all ships. To assist policy formulation and follow-up, this study applies an energy consumption approach to estimate container ship emissions. The volumes of sulphur oxide (SOx), nitrous oxide (NOx), particulate matter (PM), and carbon dioxide (CO2) emitted from container ships are estimated using 2018 datasets on container shipping and average vessel speed records generated via AIS. Furthermore, the estimated reductions in SOx, NOx, PM, and CO2 are mapped for 2020. The empirical analysis demonstrates that the energy consumption approach is a valuable method to estimate ongoing emission reductions on a continuous basis and to fill data gaps where needed, as the latest worldwide container shipping emissions records date back to 2015. The presented analysis supports early-stage detection of environmental impacts in container shipping and helps to determine in which areas the greatest potential for emission reductions can be found.

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