Study on a new correlation between diffusion coefficient and temperature in porous building materials

Qinqin Deng; Xudong Yang; Jianshun Zhang

doi:10.1016/j.atmosenv.2008.12.052

Study on a new correlation between diffusion coefficient and temperature in porous building materials

Qinqin Deng, Xudong Yang, Jianshun Zhang

Department of Mechanical & Aerospace Engineering

Research output: Contribution to journal › Article › peer-review

96 Scopus citations

Abstract

The diffusion coefficient (D) and partition coefficient (K_ma) are the two important parameters used to predict the volatile organic compound (VOC) emission or sorption characteristics in porous building materials. D and K_ma may be strongly affected by temperature (T). In this study, we derived a new correlation between D and T based on the assumption that molecular diffusion is dominant, and evaluated this correlation using a series of existing experimental data. The modeling results using the new correlation agree well with the experimental data. The correlation would be useful for assessment of indoor air quality under different environmental (temperature) conditions. Crown

Original language	English (US)
Pages (from-to)	2080-2083
Number of pages	4
Journal	Atmospheric Environment
Volume	43
Issue number	12
DOIs	https://doi.org/10.1016/j.atmosenv.2008.12.052
State	Published - Apr 2009

Keywords

Diffusion coefficient
Emission
Partition coefficient
Sorption
Temperature

ASJC Scopus subject areas

General Environmental Science
Atmospheric Science

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10.1016/j.atmosenv.2008.12.052

Cite this

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title = "Study on a new correlation between diffusion coefficient and temperature in porous building materials",

abstract = "The diffusion coefficient (D) and partition coefficient (Kma) are the two important parameters used to predict the volatile organic compound (VOC) emission or sorption characteristics in porous building materials. D and Kma may be strongly affected by temperature (T). In this study, we derived a new correlation between D and T based on the assumption that molecular diffusion is dominant, and evaluated this correlation using a series of existing experimental data. The modeling results using the new correlation agree well with the experimental data. The correlation would be useful for assessment of indoor air quality under different environmental (temperature) conditions. Crown",

keywords = "Diffusion coefficient, Emission, Partition coefficient, Sorption, Temperature",

author = "Qinqin Deng and Xudong Yang and Jianshun Zhang",

note = "Funding Information: This project is supported by the National Natural Science Foundation of China Project No. 50878112, and American Society of Heating, Refrigerating, and Air Conditioning Engineers (ASHRAE) RP-1321.",

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TY - JOUR

T1 - Study on a new correlation between diffusion coefficient and temperature in porous building materials

AU - Deng, Qinqin

AU - Yang, Xudong

AU - Zhang, Jianshun

N1 - Funding Information: This project is supported by the National Natural Science Foundation of China Project No. 50878112, and American Society of Heating, Refrigerating, and Air Conditioning Engineers (ASHRAE) RP-1321.

PY - 2009/4

Y1 - 2009/4

N2 - The diffusion coefficient (D) and partition coefficient (Kma) are the two important parameters used to predict the volatile organic compound (VOC) emission or sorption characteristics in porous building materials. D and Kma may be strongly affected by temperature (T). In this study, we derived a new correlation between D and T based on the assumption that molecular diffusion is dominant, and evaluated this correlation using a series of existing experimental data. The modeling results using the new correlation agree well with the experimental data. The correlation would be useful for assessment of indoor air quality under different environmental (temperature) conditions. Crown

AB - The diffusion coefficient (D) and partition coefficient (Kma) are the two important parameters used to predict the volatile organic compound (VOC) emission or sorption characteristics in porous building materials. D and Kma may be strongly affected by temperature (T). In this study, we derived a new correlation between D and T based on the assumption that molecular diffusion is dominant, and evaluated this correlation using a series of existing experimental data. The modeling results using the new correlation agree well with the experimental data. The correlation would be useful for assessment of indoor air quality under different environmental (temperature) conditions. Crown

KW - Diffusion coefficient

KW - Emission

KW - Partition coefficient

KW - Sorption

KW - Temperature

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JO - Atmospheric Environment

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Study on a new correlation between diffusion coefficient and temperature in porous building materials

Abstract

Keywords

ASJC Scopus subject areas

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