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Kinetic triplet determination and modified mechanism function construction for thermo-oxidative degradation of waste polyurethane foam using conventional methods and distributed activation energy model method

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  • Li, Mi
  • Jiang, Lin
  • He, Jia-Jia
  • Sun, Jin-Hua

Abstract

Rapid growth of waste polymers attracts increasing attentions nowadays, and pyrolysis technology is acknowledged as an effective handling way. In this study, waste rigid polyurethane (RPU) was selected to conduct thermogravimetric analysis experiments with four different heating rates. Results showed that the thermo-oxidative degradation of RPU presents a two-main-stage process. Subsequently, thermal degradation kinetics were analyzed by model free, model fitting, and distributed activation energy model (DAEM) fitting methods. Isoconversional methods were used to obtain the apparent activation energy. Pyrolysis kinetic parameters were calculated through selected reaction models by model fitting method. Then the experimental kinetic function was obtained, based on which the proper theoretical reaction models were modified by the accommodation function. The best reaction model from the alternative reconstructed functions was optimized for two steps respectively. Distributed activation energy model was firstly introduced to fit the experimental data of RPU pyrolysis. The results of this study have implications concerning kinetic triplet determination method and reaction models modification, especially guiding to waste polymers pyrolysis kinetics and reaction model construction.

Suggested Citation

  • Li, Mi & Jiang, Lin & He, Jia-Jia & Sun, Jin-Hua, 2019. "Kinetic triplet determination and modified mechanism function construction for thermo-oxidative degradation of waste polyurethane foam using conventional methods and distributed activation energy mode," Energy, Elsevier, vol. 175(C), pages 1-13.
    • Handle: RePEc:eee:energy:v:175:y:2019:i:c:p:1-13
    DOI: 10.1016/j.energy.2019.03.032
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    Cited by:

    1. Chen, Xinyang & Cai, Di & Yang, Yumiao & Sun, Yuhang & Wang, Binhui & Yao, Zhitong & Jin, Meiqing & Liu, Jie & Reinmöller, Markus & Badshah, Syed Lal & Magdziarz, Aneta, 2023. "Pyrolysis kinetics of bio-based polyurethane: Evaluating the kinetic parameters, thermodynamic parameters, and complementary product gas analysis using TG/FTIR and TG/GC-MS," Renewable Energy, Elsevier, vol. 205(C), pages 490-498.
    2. Zhang, Juan & Sun, Lulu & Zhang, Jiaqing & Ding, Yanming & Chen, Wenlu & Zhong, Yu, 2021. "Kinetic parameters estimation and reaction model modification for thermal degradation of Beizao oil shale based on thermogravimetric analysis coupled with deconvolution procedure," Energy, Elsevier, vol. 229(C).
    3. Ma, Junfang & Liu, Jiaxun & Jiang, Xiumin & Zhang, Hai, 2021. "A two-dimensional distributed activation energy model for pyrolysis of solid fuels," Energy, Elsevier, vol. 230(C).
    4. Liu, Hao & Li, Mi & Zhao, Shuna & Mensah, Rhoda Afriyie & Das, Oisik & Jiang, Lin & Xu, Qiang, 2023. "Insights into wood species and aging effects on pyrolysis characteristics and combustion model by multi kinetics methods and model constructions," Renewable Energy, Elsevier, vol. 206(C), pages 784-794.
    5. He, Qing & Gong, Yan & Ding, Lu & Guo, Qinghua & Yoshikawa, Kunio & Yu, Guangsuo, 2021. "Reactivity prediction and mechanism analysis of raw and demineralized coal char gasification," Energy, Elsevier, vol. 229(C).
    6. Gao, Zihe & Wan, Huaxian & Ji, Jie & Bi, Yubo, 2019. "Experimental prediction on the performance and propagation of ceiling jets under the influence of wall confinement," Energy, Elsevier, vol. 178(C), pages 378-385.
    7. Luo, Laipeng & Zhang, Zhiyi & Li, Chong & Nishu, & He, Fang & Zhang, Xingguang & Cai, Junmeng, 2021. "Insight into master plots method for kinetic analysis of lignocellulosic biomass pyrolysis," Energy, Elsevier, vol. 233(C).
    8. Zhang, Wenlong & Zhang, Juan & Ding, Yanming & Zhou, Ru & Mao, Shaohua, 2022. "The accuracy of multiple methods for estimating the reaction order of representative thermoplastic polymers waste for energy utilization," Energy, Elsevier, vol. 239(PB).
    9. Ding, Yanming & Huang, Biqing & Wu, Chuanbao & He, Qize & Lu, Kaihua, 2019. "Kinetic model and parameters study of lignocellulosic biomass oxidative pyrolysis," Energy, Elsevier, vol. 181(C), pages 11-17.
    10. Tianbao Gu & Torsten Berning & Chungen Yin, 2021. "Application of a New Statistical Model for the Description of Solid Fuel Decomposition in the Analysis of Artemisia apiacea Pyrolysis," Energies, MDPI, vol. 14(18), pages 1-12, September.

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