| Title | Measuring the characteristic parameters of VOC emission from paints |
| Authors | Xiong, Jianyin Wang, Lixin Bai, Yuhua Zhang, Yinping |
| Affiliation | Beijing Inst Technol, Sch Mech Engn, Beijing 100081, Peoples R China. Beijing Univ Civil Engn & Architecture, Sch Environm & Energy Engn, Beijing 100044, Peoples R China. Peking Univ, Coll Environm Sci & Engn, Beijing 100871, Peoples R China. Tsinghua Univ, Dept Bldg Sci, Beijing 100084, Peoples R China. |
| Keywords | Paints Volatile organic compounds (VOCs) Emission Characteristic parameters Indoor air quality (IAQ) VOLATILE ORGANIC-COMPOUNDS INITIAL EMITTABLE CONCENTRATION DRY BUILDING-MATERIALS WET COATING MATERIALS MASS-TRANSFER ANALYTICAL-MODEL FORMALDEHYDE DIFFUSION COEFFICIENTS PREDICTION |
| Issue Date | 2013 |
| Publisher | building and environment |
| Citation | BUILDING AND ENVIRONMENT.2013,66,65-71. |
| Abstract | The emission characteristic parameters of volatile organic compounds (VOCs) from paints are the initial concentration, the diffusion coefficient and the paint/air partition coefficient. It is necessary to determine these parameters for fully understanding the emission behaviors as well as for source control. Based on detailed mass transfer analysis of VOC emissions from paints, a novel method is developed to measure these parameters, which owns the following merits: (1) the diffusion coefficient and partition coefficient can be simultaneously determined; (2) it takes less than 12 h for the cases studied and indicates high measurement accuracy (R-2 in the range of 0.921-0.939). Ventilated chamber experiments are performed to obtain the two parameters of rnethylcyclohexane and toluene emissions from one kind of solvent-based paint. The effectiveness of the method is verified by the good agreement between model predictions based on the determined characteristic parameters and experiments. The present approach is then applied to analyze the experimental data in the literature, and good results are also obtained, which further demonstrates that the approach is convincing and reliable. Our new approach should prove useful for rapid prediction and characterization of VOC emissions from paints as well as from other wet materials. (C) 2013 Elsevier Ltd. All rights reserved. |
| URI | http://hdl.handle.net/20.500.11897/221490 |
| ISSN | 0360-1323 |
| DOI | 10.1016/j.buildenv.2013.04.025 |
| Indexed | SCI(E) EI |
| Appears in Collections: | 环境科学与工程学院 |
