As assembly of the International Space Station (ISS) proceeds, predictive techniques are used to determine the best approach for handling a variety of cabin air quality challenges. These techniques use equipment offgassing data collected from each ISS module before flight to characterize the trace chemical contaminant load. Combined with crew metabolic loads, these data serve as input to a predictive model for assessing the capability of the onboard atmosphere revitalization systems to handle the overall trace contaminant load as station assembly progresses. The techniques for predicting in-flight air quality are summarized along with results from early ISS mission analyses. Results from ground-based analyses of in-flight air quality samples are compared to the predictions to demonstrate the technique’s relative conservatism.


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    Title :

    Predictive Techniques for Spacecraft Cabin Air Quality Control


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    31st International Conference On Environmental Systems ; 2001



    Publication date :

    2001-07-09




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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