A taxonomy of carbon emission reduction measures in waterborne freight transportation

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    Abstract

    A wide range of measures has been proposed to improve vessel efficiency, reduce fuel consumption and lower emissions (1, 2). The classification of such measures is the subject of several publications. The Second GHG Study (3) of the International Maritime Organisation (IMO) is the most influential among them and identifies three fundamental categories of carbon emission reduction options: (i) energy efficiency improvements, which are further, sub-divided into the areas of ship design and operations; (ii) renewable energy sources; and (iii) fuels with lower lifecycle emissions per unit of work. Variations of this scheme have been proposed by Balland et al. (4) and Calleya, Pawling, and Greig (5). Classification schemes like the ones mentioned above are simple and practical but lack rigid theoretical foundations. On the other hand, schemes that attempt to capture the multiplicity of interrelations among all factors affecting emission volumes are often of low practical value due to their high level of complexity. IMO (3) provides such an example. Although it clearly acknowledges that, by definition, the CO2 emissions for most ships depend on the operational efficiency of the fleet and the transport work performed, when it comes to identifying the principal factors affecting the volume of emissions, the study presents a rather complex model including external and internal parameters that influence transport demand, modal split and fleet
    operations among others. McKinnon’s analytical framework for green logistics falls into this category, too (6).
    Original languageEnglish
    Publication date2018
    Publication statusPublished - 2018
    EventTransportation Research Board (TRB) Annual Meeting 2018 - Washington, United States
    Duration: 7 Jan 201811 Jan 2018
    https://www.itf-oecd.org/transportation-research-board-trb-annual-meeting

    Conference

    ConferenceTransportation Research Board (TRB) Annual Meeting 2018
    CountryUnited States
    CityWashington
    Period07/01/201811/01/2018
    Internet address

    Bibliographical note

    TRB Paper number: 18-00608

    Keywords

    • CO2 emissions
    • Sustainability
    • Logistics
    • Classification
    • Decomposition
    • Shipping

    Cite this

    Panagakos, G., & Psaraftis, H. N. (2018). A taxonomy of carbon emission reduction measures in waterborne freight transportation. Paper presented at Transportation Research Board (TRB) Annual Meeting 2018, Washington, United States.
    Panagakos, George ; Psaraftis, Harilaos N. / A taxonomy of carbon emission reduction measures in waterborne freight transportation. Paper presented at Transportation Research Board (TRB) Annual Meeting 2018, Washington, United States.
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    abstract = "A wide range of measures has been proposed to improve vessel efficiency, reduce fuel consumption and lower emissions (1, 2). The classification of such measures is the subject of several publications. The Second GHG Study (3) of the International Maritime Organisation (IMO) is the most influential among them and identifies three fundamental categories of carbon emission reduction options: (i) energy efficiency improvements, which are further, sub-divided into the areas of ship design and operations; (ii) renewable energy sources; and (iii) fuels with lower lifecycle emissions per unit of work. Variations of this scheme have been proposed by Balland et al. (4) and Calleya, Pawling, and Greig (5). Classification schemes like the ones mentioned above are simple and practical but lack rigid theoretical foundations. On the other hand, schemes that attempt to capture the multiplicity of interrelations among all factors affecting emission volumes are often of low practical value due to their high level of complexity. IMO (3) provides such an example. Although it clearly acknowledges that, by definition, the CO2 emissions for most ships depend on the operational efficiency of the fleet and the transport work performed, when it comes to identifying the principal factors affecting the volume of emissions, the study presents a rather complex model including external and internal parameters that influence transport demand, modal split and fleetoperations among others. McKinnon’s analytical framework for green logistics falls into this category, too (6).",
    keywords = "CO2 emissions, Sustainability, Logistics, Classification, Decomposition, Shipping",
    author = "George Panagakos and Psaraftis, {Harilaos N.}",
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    Panagakos, G & Psaraftis, HN 2018, 'A taxonomy of carbon emission reduction measures in waterborne freight transportation' Paper presented at Transportation Research Board (TRB) Annual Meeting 2018, Washington, United States, 07/01/2018 - 11/01/2018, .

    A taxonomy of carbon emission reduction measures in waterborne freight transportation. / Panagakos, George; Psaraftis, Harilaos N.

    2018. Paper presented at Transportation Research Board (TRB) Annual Meeting 2018, Washington, United States.

    Research output: Contribution to conferencePaperResearch

    TY - CONF

    T1 - A taxonomy of carbon emission reduction measures in waterborne freight transportation

    AU - Panagakos, George

    AU - Psaraftis, Harilaos N.

    N1 - TRB Paper number: 18-00608

    PY - 2018

    Y1 - 2018

    N2 - A wide range of measures has been proposed to improve vessel efficiency, reduce fuel consumption and lower emissions (1, 2). The classification of such measures is the subject of several publications. The Second GHG Study (3) of the International Maritime Organisation (IMO) is the most influential among them and identifies three fundamental categories of carbon emission reduction options: (i) energy efficiency improvements, which are further, sub-divided into the areas of ship design and operations; (ii) renewable energy sources; and (iii) fuels with lower lifecycle emissions per unit of work. Variations of this scheme have been proposed by Balland et al. (4) and Calleya, Pawling, and Greig (5). Classification schemes like the ones mentioned above are simple and practical but lack rigid theoretical foundations. On the other hand, schemes that attempt to capture the multiplicity of interrelations among all factors affecting emission volumes are often of low practical value due to their high level of complexity. IMO (3) provides such an example. Although it clearly acknowledges that, by definition, the CO2 emissions for most ships depend on the operational efficiency of the fleet and the transport work performed, when it comes to identifying the principal factors affecting the volume of emissions, the study presents a rather complex model including external and internal parameters that influence transport demand, modal split and fleetoperations among others. McKinnon’s analytical framework for green logistics falls into this category, too (6).

    AB - A wide range of measures has been proposed to improve vessel efficiency, reduce fuel consumption and lower emissions (1, 2). The classification of such measures is the subject of several publications. The Second GHG Study (3) of the International Maritime Organisation (IMO) is the most influential among them and identifies three fundamental categories of carbon emission reduction options: (i) energy efficiency improvements, which are further, sub-divided into the areas of ship design and operations; (ii) renewable energy sources; and (iii) fuels with lower lifecycle emissions per unit of work. Variations of this scheme have been proposed by Balland et al. (4) and Calleya, Pawling, and Greig (5). Classification schemes like the ones mentioned above are simple and practical but lack rigid theoretical foundations. On the other hand, schemes that attempt to capture the multiplicity of interrelations among all factors affecting emission volumes are often of low practical value due to their high level of complexity. IMO (3) provides such an example. Although it clearly acknowledges that, by definition, the CO2 emissions for most ships depend on the operational efficiency of the fleet and the transport work performed, when it comes to identifying the principal factors affecting the volume of emissions, the study presents a rather complex model including external and internal parameters that influence transport demand, modal split and fleetoperations among others. McKinnon’s analytical framework for green logistics falls into this category, too (6).

    KW - CO2 emissions

    KW - Sustainability

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    KW - Classification

    KW - Decomposition

    KW - Shipping

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    Panagakos G, Psaraftis HN. A taxonomy of carbon emission reduction measures in waterborne freight transportation. 2018. Paper presented at Transportation Research Board (TRB) Annual Meeting 2018, Washington, United States.