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Updated: Jul 20, 2025

An Inverse Analysis Approach to the Characterization of Chemical Transport in Paints
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A multisource mass transfer model for simulating VOC emissions from paints.

Yan Zhang1, Ning Xu2, Jiemin Liu3

  • 1School of Science, Beijing University of Civil Engineering and Architecture, Beijing 100044, China; Beijing Key Laboratory of Functional Materials for Building Structure and Environment Remediation, Beijing University of Civil Engineering and Architecture, Beijing 100044, China.

The Science of the Total Environment
|August 4, 2023
PubMed
Summary

This study presents a new model for volatile organic compound (VOC) emissions from multiple paint sources. The model accurately predicts VOC diffusion, improving indoor air quality assessments.

Keywords:
Environmental chamber experimentFinite difference methodInitial releasable concentrationMultisource mass transfer modelVolatile organic compounds

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Area of Science:

  • Environmental Science
  • Chemical Engineering
  • Building Physics

Background:

  • Indoor decoration activities, particularly painting, are significant sources of volatile organic compounds (VOCs).
  • Understanding the complex diffusion mechanisms of VOCs from multiple building material sources (e.g., primer and finish coats) is crucial for indoor air quality management.
  • Existing models may not fully capture the synergistic or antagonistic effects of VOC emissions from layered paint systems.

Purpose of the Study:

  • To develop and validate a multisource mass transfer model for predicting volatile organic compound (VOC) emissions from various paint combinations.
  • To investigate the interaction mechanisms of pollutant diffusion from multisource building materials in indoor environments.
  • To provide a robust simulation tool for assessing indoor air quality related to VOCs from decorative paints.

Main Methods:

  • Establishment of a multisource mass transfer model for VOC emissions, including derivation of an analytical solution.
  • Utilization of the finite difference method for simulating experimental VOC release data from environmental chambers.
  • Verification of model convergence and stability, and determination of key parameters using single-source model optimization and the law of conservation of mass.

Main Results:

  • The developed multisource mass transfer model demonstrates excellent agreement with both experimental and literature data for VOC emissions.
  • The finite difference method simulation successfully verified the model's predictive capabilities.
  • Analysis using the Little number (Lt) provided insights into the concentration change trends in both single-source and multisource VOC emission scenarios.

Conclusions:

  • The proposed multisource mass transfer model accurately predicts VOC emissions from combined paint layers, offering a significant advancement in indoor air quality modeling.
  • The study validates the use of computational methods like the finite difference method for simulating complex VOC diffusion processes.
  • The findings contribute to a better understanding of indoor pollutant dynamics, aiding in the development of healthier indoor environments.