Co-pyrolysis of sewage sludge and waste tobacco stem: Gas products analysis, pyrolysis kinetics, artificial neural network modeling, and synergistic effects

被引:42
|
作者
Ma, Chaowei [1 ,2 ,3 ]
Zhang, Fengxia [1 ,4 ]
Hu, Jianhang [1 ,2 ,3 ]
Wang, Hua [1 ,2 ,3 ]
Yang, Shiliang [1 ,2 ]
Liu, Huili [1 ,2 ]
机构
[1] Kunming Univ Sci & Technol, Engn Res Ctr, Minist Educ Met Energy Conservat & Emiss Reduct, Kunming 650093, Yunnan, Peoples R China
[2] Kunming Univ Sci & Technol, State Key Lab Complex Nonferrous Met Resources Cle, Kunming 650093, Yunnan, Peoples R China
[3] Southwest United Grad Sch, Kunming 650092, Yunnan, Peoples R China
[4] Kunming Met Coll, Kunming 650033, Yunnan, Peoples R China
基金
中国国家自然科学基金;
关键词
Sewage sludge; Waste tobacco stem; Co-pyrolysis; Kinetics; Artificial neural network; TG-FTIR; BEHAVIOR; HUSK; BED;
D O I
10.1016/j.biortech.2023.129816
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
This research comprehensively investigates the co-pyrolysis of sewage sludge (SS) and waste tobacco stem (WTS). Various SS and WTS ratios (1:0, 0.75:0.25, 0.50:0.50, 0.25:0.75, and 0:1) were tested over a range of heating rates (30 degrees C to 800 degrees C). Apparent activation energies were calculated using model-free methods, and the co-pyrolysis mechanism was described with the master plot method. Results suggest that SS and WTS co pyrolysis follows power-law models (P3, P4). Among blends, S75W25 exhibited optimal synergy, with the lowest activation energy required for the pyrolysis reactions and inhibits CO2 emissions. S75W25 ' s pyrolysis gas primarily contained acids (e.g., ethylxanthogenacetic acid, acetic acid), hydrocarbons (e.g., supraene, cyclopropyl carbinol), and other compounds (e.g., CO2, pyrazine, pyridine, indole). ANN was utilized to forecast the temperature-mass loss relationships in co-pyrolysis, with the optimal model being ANN21, yielding a highcorrelation coefficient (R2 = 0.99999). This study offers guidance for the efficient utilization of waste SS and WTS.
引用
收藏
页数:11
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