A data-based mechanistic (DBM) approach was used to model the spatio-temporal temperature distribution in the imperfectly mixed fluid in a car. The first phase of DBM involves the identification of a mathematical model from experimental data. A second order model was identified to model the temperature dynamics of the air in the car to variation in temperature and flow rate of the fresh air through three air inlets. For all the 36 output positions, the second order model proves to deliver a sufficiently good description of the temperature dynamics of the system (R2 = 0.985). Furthermore, the physical interpretation of this second order model provides a useful variable. The physical meaning of one of the model parameters is what is called the local volumetric concentration of fresh air flow inside the car. It thus becomes possible to quantify the local air freshness in a complex geometric space as the interior of a car, only using simple temperature measurements. Starting from temperature measurements in a 3d-grid in the considered space, this DBM modelling technique is capable to determine - in a simple, fast and accurate way - a quantitative and visual measure for the local freshness of the air in the car. This technique could become a valuable tool in evaluating the performance of for instance climate controllers in interior spaces.


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    Title :

    Model-based temperature measurement technique to quantify the dynamic three-dimensional air freshness flow in the interior of a car


    Additional title:

    Modellbasierte Temperaturmesstechnik zum Quantifizieren der dynamischen dreidimensionalen Frischluftströmung im Pkw-Innenraum


    Contributors:
    Quanten, S. (author) / Brecht, A. van (author) / Hirtum, A. van (author) / Janssens, K. (author) / Aerts, J.M. (author) / Berckmans, D. (author)

    Published in:

    Publication date :

    2004


    Size :

    13 Seiten, 6 Bilder, 2 Tabellen, 21 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English






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