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Temperature- and heating rate-dependent pyrolysis mechanisms and emissions of Chinese medicine residues and numerical reconstruction and optimization of their non-linear dynamics

Author

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  • Chen, Zhiyun
  • Chen, Huashan
  • Wu, Xieyuan
  • Zhang, Junhui
  • Evrendilek, Deniz Eren
  • Liu, Jingyong
  • Liang, Guanjie
  • Li, Weixin

Abstract

The study bases on the pyrolysis characteristic, kinetic, and thermodynamic parameters and evolved gas analysis to quantity Chinese medicine residues (CMR) and uses artificial neural network (ANN) to reconstruct and jointly optimize pyrolysis. The main weightlessness interval of CMR is between 150 and 600 °C including organic matter decomposition. Four model-free methods and one model-fitting method were provided to find function mechanisms and kinetic parameters show it existing kinetic compensation through pyrolysis. TG-FTIR finds the gases and functional groups included CO2, CO, H2O, CH4, CO, CC, and C–O. And the main pyrolytic products were detected included esters, phenols and acids et al. 9-octadecenoic acid (z)-, methyl ester as one of the high quality products was in the highest proportion about 53.75%. The temperature-, heating rate-, and their non-linear dynamics of the multiple pyrolysis response surfaces were reconstructed and jointly optimized using an artificial neural network algorithm. Finally, the study is helpful for Chinese medicine residues high-value utilization.

Suggested Citation

  • Chen, Zhiyun & Chen, Huashan & Wu, Xieyuan & Zhang, Junhui & Evrendilek, Deniz Eren & Liu, Jingyong & Liang, Guanjie & Li, Weixin, 2021. "Temperature- and heating rate-dependent pyrolysis mechanisms and emissions of Chinese medicine residues and numerical reconstruction and optimization of their non-linear dynamics," Renewable Energy, Elsevier, vol. 164(C), pages 1408-1423.
    • Handle: RePEc:eee:renene:v:164:y:2021:i:c:p:1408-1423
    DOI: 10.1016/j.renene.2020.10.095
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    2. Chen, Zhiyun & Liu, Jingyong & Chen, Huashan & Ding, Ziyi & Tang, Xiaojie & Evrendilek, Fatih, 2022. "Oxy-fuel and air atmosphere combustions of Chinese medicine residues: Performances, mechanisms, flue gas emission, and ash properties," Renewable Energy, Elsevier, vol. 182(C), pages 102-118.
    3. Sun, Ce & Tan, Haiyan & Zhang, Yanhua, 2023. "Simulating the pyrolysis interactions among hemicellulose, cellulose and lignin in wood waste under real conditions to find the proper way to prepare bio-oil," Renewable Energy, Elsevier, vol. 205(C), pages 851-863.
    4. Sun, Hao & Bi, Haobo & Jiang, Chunlong & Ni, Zhanshi & Tian, Junjian & Zhou, Wenliang & Qiu, Zhicong & Lin, Qizhao, 2022. "Experimental study of the co-pyrolysis of sewage sludge and wet waste via TG-FTIR-GC and artificial neural network model: Synergistic effect, pyrolysis kinetics and gas products," Renewable Energy, Elsevier, vol. 184(C), pages 1-14.
    5. Chen, Zhibin & Wang, Li & Huang, Zhiwei & Zhuang, Ping & Shi, Yiguang & Evrendilek, Fatih & Huang, Shengzheng & He, Yao & Liu, Jingyong, 2024. "Dynamic and optimal ash-to-gas responses of oxy-fuel and air combustions of soil remediation biomass," Renewable Energy, Elsevier, vol. 225(C).

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