Co-pyrolysis of coal slime and cattle manure by TG–FTIR–MS and artificial neural network modeling: Pyrolysis behavior, kinetics, gas emission characteristics
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DOI: 10.1016/j.energy.2022.123203
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Cited by:
- Wang, Guangyu & Meng, Jinghui & Zhang, Kai, 2024. "Process intensification of non-uniform additive pattern for coal slime drying by microwave heating," Energy, Elsevier, vol. 302(C).
- Qi, Huini & Li, Fashe & Wang, Shuang & Sui, Meng & Lu, Fengju, 2024. "Pyrolysis and co-pyrolysis of cattle manure, rape straw, and their blend: Physicochemical characterization, kinetic triplets, reaction mechanism, and thermodynamic analysis," Energy, Elsevier, vol. 292(C).
- Ni, Zhanshi & Bi, Haobo & Jiang, Chunlong & Sun, Hao & Zhou, Wenliang & Qiu, Zhicong & He, Liqun & Lin, Qizhao, 2022. "Research on the co-pyrolysis of coal slime and lignin based on the combination of TG-FTIR, artificial neural network, and principal component analysis," Energy, Elsevier, vol. 261(PA).
- Hou, Fei & Zhong, Xiaoxing & Zanoni, Marco A.B. & Rashwan, Tarek L. & Torero, José L., 2024. "Multi-step scheme and thermal effects of coal smouldering under various oxygen-limited conditions," Energy, Elsevier, vol. 299(C).
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Keywords
TG-MS-FTIR; Artificial neural network; Co-pyrolysis; Coal slime; Cattle manure;All these keywords.
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