Pyrolysis-gasification conversion of waste pharmaceutical blisters: Thermo-kinetic and thermodynamic study, fuel gas analysis and machine learning modeling

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@Article{Yao:2024:ces,

• author = "Zhitong Yao and Jiayao Tong and Jingjing Jiang and Ahmed {Mohamed Abdel Sattar} and Jean {Constantino Gomes da Silva} and Sachin Kumar and Xiaobo Wang and Mohamed Salama Abd-Elhady and Jie Liu and Meiqing Jin and Obid Tursunov and Wei Qi",
• title = "Pyrolysis-gasification conversion of waste pharmaceutical blisters: Thermo-kinetic and thermodynamic study, fuel gas analysis and machine learning modeling",
• journal = "Chemical Engineering Science",
• year = "2024",
• volume = "300",
• pages = "120583",
• keywords = "genetic algorithms, genetic programming, Waste pharmaceutical blisters, Plastic, Thermo-chemical conversion, Steam reforming, Machine learning modeling",
• ISSN = "0009-2509",
• URL = "https://www.sciencedirect.com/science/article/pii/S0009250924008832",
• DOI = "doi:10.1016/j.ces.2024.120583",
• abstract = "It delved into the pyrolysis-gasification behaviour of waste pharmaceutical blisters (WPBs), exploring both kinetics and thermodynamics, and employing machine learning modelling. The decomposition of WPBs occurred in three stages, with temperature intervals of 140-350, 350-500, and 500-900 degreeC, respectively. Cyclization/aromatization reactions were hindered, as indicated by mass spectrometric analysis, which revealed the main evolved products, including CxHy, CH3OH, CH4, and H2. Apparent activation energy values obtained from FWO, KAS, Friedman, Cai & Chen models were comparable, showing a decreasing trend ranging from 264.9 to 48.4 kJ mol-1 at alpha lteq 0.70, followed by a subsequent increase to 283.1 kJ mol-1 at a conversion of 0.80. The D1 model was more reliable in describing the pyrolysis-gasification process of WPBs. Machine learning modelling results indicated that the ANN19 with a topology structure of 5 . 15 . 1 and genetic programming models showed superior performance in predicting TG data",

}

Genetic Programming entries for Zhitong Yao Jiayao Tong Jingjing Jiang Ahmed Mohamed Abdel Sattar Jean Constantino Gomes da Silva Sachin Kumar Xiaobo Wang Mohamed Salama Abd-Elhady Jie Liu Meiqing Jin Obid Tursunov Wei Qi

Citations