Numerical simulation of VOC emissions from dry materials

X. Yang; Q. Chen; J. S. Zhang; R. Magee; J. Zeng; C. Y. Shaw

doi:10.1016/S0360-1323(00)00078-0

Numerical simulation of VOC emissions from dry materials

X. Yang, Q. Chen, J. S. Zhang, R. Magee, J. Zeng, C. Y. Shaw

Department of Building Environment and Energy Engineering

Research output: Journal article publication › Journal article › Academic research › peer-review

173 Citations (Scopus)

Abstract

This paper presents a numerical approach for simulating volatile organic compound (VOC) emissions from dry materials. The approach has been used to examine the VOC emissions from two particleboards. The emission study for the particleboards shows that a fairly good agreement of VOC concentrations between the model prediction and experimental data can be achieved by pre-calculating the partition coefficient (K_ma) and material age (AGE) and adjusting the diffusion coefficient (D_m) and initial concentration (C_o). Further, the study shows that K_ma only affects short-term emissions while D_m influences both the short- and long-term emissions.

Original language	English
Pages (from-to)	1099-1107
Number of pages	9
Journal	Building and Environment
Volume	36
Issue number	10
DOIs	https://doi.org/10.1016/S0360-1323(00)00078-0
Publication status	Published - Dec 2001

Keywords

Building materials
Emission modeling
Volatile organic compounds

ASJC Scopus subject areas

Environmental Engineering
Civil and Structural Engineering
Geography, Planning and Development
Building and Construction

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10.1016/S0360-1323(00)00078-0

Cite this

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title = "Numerical simulation of VOC emissions from dry materials",

abstract = "This paper presents a numerical approach for simulating volatile organic compound (VOC) emissions from dry materials. The approach has been used to examine the VOC emissions from two particleboards. The emission study for the particleboards shows that a fairly good agreement of VOC concentrations between the model prediction and experimental data can be achieved by pre-calculating the partition coefficient (Kma) and material age (AGE) and adjusting the diffusion coefficient (Dm) and initial concentration (Co). Further, the study shows that Kma only affects short-term emissions while Dm influences both the short- and long-term emissions.",

keywords = "Building materials, Emission modeling, Volatile organic compounds",

author = "X. Yang and Q. Chen and Zhang, {J. S.} and R. Magee and J. Zeng and Shaw, {C. Y.}",

note = "Funding Information: This investigation is supported by the US National Science Foundation (Grant CMS-9623864) and National Research Council of Canada. ",

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AU - Yang, X.

AU - Chen, Q.

AU - Zhang, J. S.

AU - Magee, R.

AU - Zeng, J.

AU - Shaw, C. Y.

N1 - Funding Information: This investigation is supported by the US National Science Foundation (Grant CMS-9623864) and National Research Council of Canada.

PY - 2001/12

Y1 - 2001/12

N2 - This paper presents a numerical approach for simulating volatile organic compound (VOC) emissions from dry materials. The approach has been used to examine the VOC emissions from two particleboards. The emission study for the particleboards shows that a fairly good agreement of VOC concentrations between the model prediction and experimental data can be achieved by pre-calculating the partition coefficient (Kma) and material age (AGE) and adjusting the diffusion coefficient (Dm) and initial concentration (Co). Further, the study shows that Kma only affects short-term emissions while Dm influences both the short- and long-term emissions.

AB - This paper presents a numerical approach for simulating volatile organic compound (VOC) emissions from dry materials. The approach has been used to examine the VOC emissions from two particleboards. The emission study for the particleboards shows that a fairly good agreement of VOC concentrations between the model prediction and experimental data can be achieved by pre-calculating the partition coefficient (Kma) and material age (AGE) and adjusting the diffusion coefficient (Dm) and initial concentration (Co). Further, the study shows that Kma only affects short-term emissions while Dm influences both the short- and long-term emissions.

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KW - Emission modeling

KW - Volatile organic compounds

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JO - Building and Environment

JF - Building and Environment

IS - 10

ER -

Numerical simulation of VOC emissions from dry materials

Abstract

Keywords

ASJC Scopus subject areas

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