To provide accurate input parameters to the large-scale global climate simulation models, an algorithm was developed to estimate the black carbon (BC) mass emission indexfor engines in the commercial fleet at cruise. Using a high-dimensional model representation (HDMR) global sensitivity analysis, relevant engine specification/operation parameters were ranked, and the most important parameters were selected. Simple algebraic formulas were then constructed based on those important parameters. The algorithm takes the cruise power (alternatively, fuelflow rate), altitude, and Mach number as inputs, and calculates BC emission index for a given engine/airframe combination using the engine property parameters, such as the smoke number, available in the International Civil Aviation Organization (ICAO) engine certification databank. The algorithm can be interfaced with state-of-theart aircraft emissions inventory development tools, and will greatly improve the global climate simulations that currently use a single fleet average value for all airplanes.


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    Title :

    An algorithm to estimate aircraft cruise black carbon emissions for use in developing a cruise emissions inventory


    Contributors:


    Publication date :

    2013


    Size :

    9 Seiten, 7 Bilder, 3 Tabellen, 22 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English