Exponential Decay Model of TVOC Emission from Indoor Building Materials

Total volatile organic compounds (TVOC) are mainly derived from indoor building materials and are one of the main causes of indoor air pollution. This paper presents a research on simulating the TVOC release of building materials in the environmental chamber. In this work, a simple and practical pre...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2020-01, Vol.435 (1), p.12035
Main Authors: Zhang, Y, Niu, Y R, Liu, Y, Wu, Y F, Jiang, J X, Guan, H Y, Guo, Z B
Format: Article
Language:English
Subjects:
Air pollution
Building materials
Coatings
Construction materials
Decay
Emission analysis
Emissions
Environmental chambers
Indoor air pollution
Indoor air quality
Indoor environments
Mass transfer
Mathematical models
Organic compounds
Prediction models
Probability distribution functions
Test chambers
VOCs
Volatile organic compounds
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Summary:Total volatile organic compounds (TVOC) are mainly derived from indoor building materials and are one of the main causes of indoor air pollution. This paper presents a research on simulating the TVOC release of building materials in the environmental chamber. In this work, a simple and practical prediction model of exponential decay is established to study the transport and the emission behaviors under the effect of convective mass transfer theory. Based on this theory, the model considers the porous structure of indoor building materials and assumes that concentration of TVOC at the boundary of building material obeys exponential distribution. This paper focuses on two kinds of indoor building materials, interior wall coatings and wood coatings. Numerical simulation and experimental parameters are obtained by environmental chamber method. By modelling the emission of TVOCs, and comparing the present model with the classical model, the validity of the present model can be confirmed. Besides, from the results of the fitting, it can be seen that the new exponential decay predition model has a better agreement with the experimental data, and which can describe the release characteristics and transmissionmechanisms of TVOCs more accurately, and the root mean square error is much less than the classical model.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/435/1/012035