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Using FAA's SAGE model to conduct global inventories and to assess route-specific variability in aviation fuel burn, emissions and costs

File Language:
English


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  • Alternative Title:
    25th International Congress of the Aeronautical Sciences
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  • Abstract:
    The focus on optimizing aircraft fuel efficiency

    as well as interest in assessing aviation

    emissions inventories to measure the efficacy of

    efforts to limit or reduce aviation emissions

    worldwide has spurred a number of efforts in

    the U.S. and Europe to develop robust computer

    models capable of assessing aircraft emissions

    at local, regional, and global levels. The

    present contribution shows both a macro and

    micro level example of the types of analyses that

    the Federal Aviation Administration?s (FAA)

    System for assessing Aviation?s Global

    Emissions (SAGE) enables. On the macro level,

    examples are given of global inventory

    information computed using SAGE. In addition,

    a micro-level assessment of fuel burn, emissions

    and related costs associated with the 2995 nmi

    (Great Circle), New York (JFK)-to-London

    (EGLL) origin-destination (O-D) pair is

    provided.

    We highlight this O-D pair since: (1) it is an

    extremely popular trans-oceanic pair, with a

    large number of operations; (2) radar-based

    aircraft position data from FAA?s Enhanced

    Traffic Management System are available for

    all flights hence enhancing the confidence of the

    analyses; and (3) a variety of aircraft (B747,

    B767 and B777), operated by several different

    international carriers are represented on this

    O-D pair, which highlights the versatility and

    robustness of the model. SAGE supports

    decision making to manage and mitigate

    aviation fuel consumption and emissions,

    thereby enabling the sustained growth of this

    critical mode of transportation.

  • Format:
    PDF
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  • Main Document Checksum:
    urn:sha-512:eaa621691788ad03000fc48729c562465000dd3b2cb1b2205a0dc8b146676c5598c7db4ab7ca6f88e2319e089769a8874af83ed7f97ef23f7e2d0113f1e4036e
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    Filetype[PDF - 108.45 KB ]
File Language:
English
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