Corpus ID: 10316798

Filtration of airborne microorganisms: Modeling and prediction

  title={Filtration of airborne microorganisms: Modeling and prediction},
  author={W. Kowalski and W. Bahnfleth and T. Whittam},
  journal={Ashrae Transactions},
  • W. Kowalski, W. Bahnfleth, T. Whittam
  • Published 1999
  • Engineering
  • Ashrae Transactions
  • The filtration of airborne particulates has been studied extensively and removal efficiencies can be adequately predicted from theory or from catalog data. The filtrations of airborne microorganisms, however, has not been specifically addressed by theory and has seen limited empirical study. This paper addresses the variety of factors that may cause microbial filtration efficiency to deviate from predicted values based on particulate size alone. A model is developed to incorporate those factors… CONTINUE READING
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