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

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

Renewable Energy, 2021, vol. 164, issue C, 1408-1423

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.

Keywords: Kinetic and thermodynamic parameters; Waste reduction; Chinese medicine residues; Neural networks; Joint optimization; Evolved gas dynamics (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:164:y:2021:i:c:p:1408-1423

DOI: 10.1016/j.renene.2020.10.095

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