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Predictive Techniques for Spacecraft Cabin Air Quality ControlAs 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 groundbased analyses of in-flight air quality samples are compared to the predictions to demonstrate the technique's relative conservatism.
Document ID
20010037908
Acquisition Source
Marshall Space Flight Center
Document Type
Conference Paper
Authors
Perry, J. L.
(NASA Marshall Space Flight Center Huntsville, AL United States)
Cromes, Scott D.
Date Acquired
August 20, 2013
Publication Date
January 1, 2001
Subject Category
Man/System Technology And Life Support
Report/Patent Number
SAE-01ICES-308
Meeting Information
Meeting: 31st International Conference on Environmental Systems
Location: Orlando, FL
Country: United States
Start Date: July 9, 2001
End Date: July 12, 2001
Sponsors: Society of Automotive Engineers, Inc.
Distribution Limits
Public
Copyright
Other

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