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Global Shipping Emissions from a Well-to-Wake Perspective: The MariTEAM Model.
Kramel, Diogo; Muri, Helene; Kim, YoungRong; Lonka, Radek; Nielsen, Jørgen B; Ringvold, Anna L; Bouman, Evert A; Steen, Sverre; Strømman, Anders H.
Afiliación
  • Kramel D; Industrial Ecology Programme, NTNU, Trondheim 7034, Norway.
  • Muri H; Industrial Ecology Programme, NTNU, Trondheim 7034, Norway.
  • Kim Y; Department of Marine Technology, NTNU, Trondheim 7052, Norway.
  • Lonka R; Industrial Ecology Programme, NTNU, Trondheim 7034, Norway.
  • Nielsen JB; SINTEF Ocean AS, Trondheim 7052, Norway.
  • Ringvold AL; Industrial Ecology Programme, NTNU, Trondheim 7034, Norway.
  • Bouman EA; Industrial Ecology Programme, NTNU, Trondheim 7034, Norway.
  • Steen S; Department of Marine Technology, NTNU, Trondheim 7052, Norway.
  • Strømman AH; Industrial Ecology Programme, NTNU, Trondheim 7034, Norway.
Environ Sci Technol ; 55(22): 15040-15050, 2021 11 16.
Article en En | MEDLINE | ID: mdl-34705455
Improving the robustness of maritime emission inventories is important to ensure we fully understand the point of embarkment for transformation pathways of the sector toward the 1.5 and 2°C targets. A bottom-up assessment of emissions of greenhouse gases and aerosols from the maritime sector is presented, accounting for the emissions from fuel production and processing, resulting in a complete "well-to-wake" geospatial inventory. This high-resolution inventory is developed through the use of the state-of-the-art data-driven MariTEAM model, which combines ship technical specifications, ship location data, and historical weather data. The CO2 emissions for 2017 amount to 943 million tonnes, which is 11% lower than the fourth International Maritime Organization's greenhouse gas study for the same year, while larger discrepancies have been found across ship segments. If fuel production is accounted for when developing shipping inventories, total CO2 emissions reported could increase by 11%. In addition to fuel production, effects of weather and heavy traffic regions were found to significantly impact emissions at global and regional levels. The global annual efficiency for different fuels and ship segments in approximated operational conditions were also investigated, indicating the need for more holistic metrics than current ones when seeking appropriate solutions aiming at reducing emissions.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Navíos / Gases de Efecto Invernadero Tipo de estudio: Prognostic_studies Idioma: En Revista: Environ Sci Technol Año: 2021 Tipo del documento: Article País de afiliación: Noruega Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Navíos / Gases de Efecto Invernadero Tipo de estudio: Prognostic_studies Idioma: En Revista: Environ Sci Technol Año: 2021 Tipo del documento: Article País de afiliación: Noruega Pais de publicación: Estados Unidos