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Experimental and numerical simulation of expanded polystyrene pyrolysis coupled with thermal shrinkage and melting processes

Author

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  • Zhang, Juan
  • Liu, Fahang
  • Li, Changhai
  • Ding, Yanming

Abstract

This work developed a pyrolysis model for expanded polystyrene (EPS), considering the effects of thermal shrinkage and melting stages. The model relied on dynamic measurements from Thermogravimetric (TG) and Flame Propagation Apparatus (FPA) experiments. The kinetic parameters optimized by the Shuffled Complex Evolution (SCE) algorithm based on TG data were coupled to pyrolysis model. Considering the potential release of volatile, the environmental impact of EPS pyrolysis was also explored by Fourier-transform infrared spectroscopy (FTIR) analysis. The pyrolysis model was successfully developed. The correlation coefficient (R2) of ML and MLR curves was greater than 0.9599 and root mean square error (RMSE) was greater than 1.77E-2, which verified the reliability of the pyrolysis model. The model could also predict complex thermal effects during pyrolysis, such as shrinkage, melting, conversion and temperature evolution. Furthermore, uncertainty analysis was performed to systematically investigate the influence of input parameters on output results, further validating the robustness of the model. The results showed that the changes in material properties due to shrinkage and melting, and kinetic parameters had the most significant impact on MLR. The established pyrolysis model provided new theoretical insights and practical guidance for optimizing fire safety protocols and waste management strategy of EPS.

Suggested Citation

  • Zhang, Juan & Liu, Fahang & Li, Changhai & Ding, Yanming, 2025. "Experimental and numerical simulation of expanded polystyrene pyrolysis coupled with thermal shrinkage and melting processes," Energy, Elsevier, vol. 314(C).
    • Handle: RePEc:eee:energy:v:314:y:2025:i:c:s0360544224040891
    DOI: 10.1016/j.energy.2024.134311
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    References listed on IDEAS

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    1. Mazloum, Shawki & Awad, Sary & Allam, Nadine & Aboumsallem, Youssef & Loubar, Khaled & Tazerout, Mohand, 2021. "Modelling plastic heating and melting in a semi-batch pyrolysis reactor," Applied Energy, Elsevier, vol. 283(C).
    2. Shi, Xueqiang & Wu, Hao & Jin, Penggang & Zhang, Yutao & Zhang, Yuanbo & Jiao, Fengyuan & Zhang, Yun & Cao, Weiguo, 2023. "On the influence of material and shape of the hot particles on the ignition characteristics of coal dust," Energy, Elsevier, vol. 281(C).
    3. Tan, Yuxuan & Chen, Weicheng & Fang, Yutang & Cheng, Min & Wang, Shuangfeng, 2023. "Investigation of novel expandable polystyrene/alumina aerogel composite thermal insulation material," Energy, Elsevier, vol. 284(C).
    4. Crestaux, Thierry & Le Maıˆtre, Olivier & Martinez, Jean-Marc, 2009. "Polynomial chaos expansion for sensitivity analysis," Reliability Engineering and System Safety, Elsevier, vol. 94(7), pages 1161-1172.
    5. Ding, Yanming & Jiang, Gonghua & Fukumoto, Kazui & Zhao, Mengqi & Zhang, Xueting & Wang, Changjian & Li, Changhai, 2023. "Experimental and numerical simulation of multi-component combustion of typical no-charring material," Energy, Elsevier, vol. 262(PB).
    6. 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).
    7. Li, Hongyang & Hu, Chengzhi & He, Yichuan & Tang, Dawei & Wang, Kuiming & Hu, Xianfeng, 2021. "Visualized-experimental investigation on the energy storage performance of PCM infiltrated in the metal foam with varying pore densities," Energy, Elsevier, vol. 237(C).
    8. Zhang, Juan & Sun, Lulu & Zhong, Yu & Ding, Yanming & Du, Wenzhou & Lu, Kaihua & Jia, Jia, 2022. "Kinetic model and parameters optimization for Tangkou bituminous coal by the bi-Gaussian function and Shuffled Complex Evolution," Energy, Elsevier, vol. 243(C).
    9. Cai, Yang & Hong, Bing-Hua & Wu, Wei-Xiong & Wang, Wei-Wei & Zhao, Fu-Yun, 2022. "Active cooling performance of a PCM-based thermoelectric device: Dynamic characteristics and parametric investigations," Energy, Elsevier, vol. 254(PB).
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    1. Jiang, Lina & Fan, Zhixuan & Hong, Chenggong & Di, Yanqiang & Kosonen, Risto & Zhuang, Chaoqun & Gao, Yafeng, 2025. "Dynamic thermal behavior of fly ash hollow microspheres-mineral fiber low-carbon composite insulation wall: experimental and simulation study," Energy, Elsevier, vol. 335(C).

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