The steady state VOC concentration in automobile cabin is taken as a good indicator to characterize the material emission behaviors and evaluate the vehicular air quality. Most studies in this field focus on experimental investigation while theoretical analysis is lacking. In this paper we firstly develop a simplified physical model to describe the VOC emission from automobile materials, and then derive a theoretical correlation between the steady state cabin VOC concentration (Ca) and temperature (T), which indicates that the logarithm of Ca/T0.75 is in a linear relationship with 1/T. Experiments of chemical emissions in three car cabins at different temperatures (24°C, 29°C, 35°C) were conducted. Eight VOCs specified in the Chinese National Standard GB/T 27630–2011 were taken for analysis. The good agreement between the correlation and experimental results from our tests, as well as the data taken from literature demonstrates the effectiveness of the derived correlation. Further study indicates that the slope and intercept of the correlation follows linear association. With the derived correlation, the steady state cabin VOC concentration different from the test conditions can be conveniently obtained. This study should be helpful for analyzing temperature-dependent emission phenomena in automobiles and predicting associated health risks.
School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China;State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou, China;School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China;School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China;School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China;School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China
Recommended Citation:
Jianyin Xiong,Tao Yang,Jianwei Tan,et al. Characterization of VOC Emission from Materials in Vehicular Environment at Varied Temperatures: Correlation Development and Validation[J]. PLOS ONE,2015-01-01,10(10)