Engineering Research Center of the Ministry of Education for Metallurgical Energy Conservation and Emission Reduction, Kunming University of Science and Technology, Kunming 650093, Yunnan Province, PR China; State Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization, Kunming University of Science and Technology, Kunming 650093, Yunnan Province, PR China; Southwest United Graduate School, Kunming 650092, Yunnan Province, PR China.
Engineering Research Center of the Ministry of Education for Metallurgical Energy Conservation and Emission Reduction, Kunming University of Science and Technology, Kunming 650093, Yunnan Province, PR China; Kunming Metallurgy College, Kunming 650033, Yunnan Province, PR China.
Bioresour Technol. 2023 Dec;389:129816. doi: 10.1016/j.biortech.2023.129816. Epub 2023 Oct 2.
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 °C to 800 °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 CO 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., CO, pyrazine, pyridine, indole). ANN was utilized to forecast the temperature-mass loss relationships in co-pyrolysis, with the optimal model being ANN21, yielding a high correlation coefficient (R = 0.99999). This study offers guidance for the efficient utilization of waste SS and WTS.
本研究全面考察了污水污泥（SS）和废烟草茎（WTS）的共热解。在较宽的升温速率（30°C 至 800°C）范围内，测试了各种 SS 和 WTS 比例（1:0、0.75:0.25、0.50:0.50、0.25:0.75 和 0:1）。使用无模型方法计算了表观活化能，并采用主图法描述了共热解机制。结果表明，SS 和 WTS 共热解遵循幂律模型（P3、P4）。在混合物中，S75W25 表现出最佳协同作用，所需的热解反应活化能最低，并抑制 CO 排放。S75W25 的热解气主要含有酸（如乙基黄原酸、乙酸）、烃（如薁、环丙基甲醇）和其他化合物（如 CO、吡嗪、吡啶、吲哚）。ANN 用于预测共热解中的温度-质量损失关系，最佳模型为 ANN21，具有很高的相关系数（R=0.99999）。本研究为有效利用废 SS 和 WTS 提供了指导。
