Characterization of VOC Emission from Materials in Vehicular Environment at Varied Temperatures: Correlation Development and Validation.
Characterization of VOC Emission from Materials in Vehicular Environment at Varied Temperatures: Correlation Development and Validation.
复制标题
不同温度下车辆环境中材料的 VOC 排放表征：相关性开发和验证
DOI：
10.1371/journal.pone.0140081
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发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Ge Y
中科院分区：
文献类型：
--
作者：
Xiong J;Yang T;Tan J;Li L;Ge Y
汽车舱内稳态VOC浓度可作为表征车内物质排放行为和评价车内空气质量的良好指标。该领域的研究多集中在实验研究上，缺乏理论分析。本文首先建立了一个描述汽车材料VOC排放的简化物理模型，然后推导出稳态座舱VOC浓度（C a）与温度(T)之间的理论相关性，表明C a/T的对数0.75与1/T呈线性关系。在不同温度（24°C、29°C、35°C）下，对3个车厢的化学物质排放进行了实验。选取中国国家标准GB/T 27630-2011中规定的8种VOCs进行分析。相关性与实验结果以及文献数据吻合良好，证明了推导出的相关性的有效性。进一步研究表明，相关系数的斜率和截距服从线性关系。利用推导出的相关性，可以方便地得到不同于试验条件的稳态舱内VOC浓度。本研究将有助于分析汽车温度相关排放现象，并预测相关的健康风险。
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 (C a) and temperature (T), which indicates that the logarithm of C a/T 0.75 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.