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Predicting the emissions of VOCs/SVOCs in source and sink materials: Development of analytical model and determination of the key parameters.
Zhang, Xuankai; Wang, Hao; Xu, Baoping; Wang, Haimei; Wang, Yuanzheng; Yang, Tao; Tan, Yanda; Xiong, Jianyin; Liu, Xiaoyu.
Affiliation
  • Zhang X; School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.
  • Wang H; School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.
  • Xu B; School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China.
  • Wang H; School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.
  • Wang Y; School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.
  • Yang T; School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.
  • Tan Y; School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.
  • Xiong J; School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China. Electronic address: xiongjy@bit.edu.cn.
  • Liu X; U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC 27711, USA. Electronic address: Liu.Xiaoyu@epa.gov.
Environ Int ; 160: 107064, 2022 02.
Article in En | MEDLINE | ID: mdl-34968991
The emissions of volatile organic compounds (VOCs) and semi-volatile organic compounds (SVOCs) from indoor materials pose an adverse effect on people's health. In this study, a new analytical model was developed to simulate the emission behaviors for both VOCs and SVOCs under ventilated conditions. Based on this model, we further introduced a hybrid optimization method to accurately determine the key parameters in the model: the initial emittable concentration, the diffusion coefficient, the material/air partition coefficient, and the chamber surface/air partition coefficient (for SVOCs). Experiments for VOC emissions from solid wood furniture were performed to determine the key parameters. We also evaluated the hybrid optimization method with the data of flame retardant emissions from polyisocyanurate rigid foam and VOC emissions from a panel furniture in the literature. The correlation coefficients are high during the fitting process (R2 = 0.92-0.99), demonstrating effectiveness of this method. In addition, we observed that chemical properties could transfer from SVOC-type to VOC-type with the increase of temperature. The transition temperatures from SVOC-type to VOC-type for the emissions of tris(2-chloroethyl) phosphate (TCEP) and tris(1-chloro-2-propyl) phosphate (TCIPP) were determined to be about 45 ℃ and 35 ℃, respectively. The present study provides a unified modelling and methodology analysis for both VOCs and SVOCs, which should be very useful for source/sink characterization and control.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Air Pollution, Indoor / Volatile Organic Compounds / Flame Retardants Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Environ Int Year: 2022 Document type: Article Affiliation country: China Country of publication: Netherlands

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Air Pollution, Indoor / Volatile Organic Compounds / Flame Retardants Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Environ Int Year: 2022 Document type: Article Affiliation country: China Country of publication: Netherlands