The paper illustrates a first calibration of the Danieli-d'Elia method for pollutant production determination in urban areas, as described in previous articles, and its application to measured road conditions in a Southern Italian City. In order to perform the calibration, the method was applied to UDC + EUDC driving cycles, theoretically obtained for a given vehicle, both catalysed and non-catalysed. Model predictions were then compared to law requirements for the relative model-year, obtaining the calibration. Next, it was also necessary to devise a procedure to filter the data, which was often subject to heavy electronic noise, causing unrealistic values of the acceleration, and this was also performed and applied to the different sets of experimental data. Once this was obtained, the comparison to real city pollutant production in various traffic and elevation conditions was performed. Finally, on the assumption that in real traffic the individual car's kinematic conditions are conditioned by the presence of other cars, the measured kinematic diagrams were extended to different car typologies by changing engine speed in the appropriate manner, and consequently the torque. This allows the experimental measurement to be extended to the entire fleet of cars, running on a certain street at a given time, also taking into account velocity distributions, as will be shown.


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    Titel :

    Calibration of a methodology to determine pollutant production in urban areas its application to real situations


    Weitere Titelangaben:

    Eichen einer Methodologie zur Bestimmung der Schadstofferzeugung in Stadtgebieten und deren Anwendung auf reale Situationen


    Beteiligte:
    Artusi, E.R. (Autor:in) / Cacozza, A. (Autor:in) / Danieli, G.A. (Autor:in) / Merenda, F. (Autor:in) / Muraca, P. (Autor:in) / Viola, R. (Autor:in)


    Erscheinungsdatum :

    2001


    Format / Umfang :

    11 Seiten, 11 Bilder, 4 Tabellen, 3 Quellen



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch





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