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Related Experiment Videos

Single-layer model to predict the source/sink behavior of diffusion-controlled building materials.

Deept Kumar1, John C Little

  • 1Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University, 418 Durham Hall, Blacksburg, Virginia 24061-0246, USA.

Environmental Science & Technology
|September 12, 2003
PubMed
Summary

This study validates a model for predicting volatile organic compound (VOC) absorption and desorption by building materials. The enhanced model accurately predicts VOC behavior in indoor environments, crucial for air quality management.

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Area of Science:

  • Environmental Science
  • Building Science
  • Chemical Engineering

Background:

  • Building materials significantly influence indoor air quality by acting as sources and sinks for volatile organic compounds (VOCs).
  • Accurate characterization of VOC mass transfer within building materials is essential for understanding and controlling indoor air pollution.

Purpose of the Study:

  • To validate a strategy for characterizing VOC absorption and desorption rates in diffusion-controlled building materials.
  • To extend a predictive model for mass transfer between building materials and indoor air, accommodating complex conditions.

Main Methods:

  • An existing mass transfer model was generalized to allow for non-uniform initial material-phase concentrations and transient gas-phase concentrations.
  • An analytical solution was developed for the generalized model.

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  • Experimental validation involved exposing vinyl flooring samples to absorption/desorption cycles of n-dodecane and phenol in a controlled chamber.
  • Main Results:

    • The generalized model demonstrated accurate prediction capabilities.
    • A priori model predictions showed close agreement with experimental data for VOC absorption and desorption.
    • Previously determined material-air partition coefficients and material-phase diffusion coefficients were utilized.

    Conclusions:

    • The validated model provides a robust tool for predicting VOC behavior in building materials.
    • This research contributes to better management of indoor air quality by quantifying VOC dynamics in building materials.