Pyrolysis-gasification conversion of waste pharmaceutical blisters: Thermo-kinetic and thermodynamic study, fuel gas analysis and machine learning modeling
文献类型：期刊论文
| 作者 | Yao, Zhitong2; Tong, Jiayao2; Jiang, Jingjing2; Sattar, Ahmed Mohamed Abdel3; da Silva, Jean Constantino Gomes4; Kumar, Sachin5; Wang, Xiaobo6; Mohamed, Mohammed Salama Abdelhady3; Liu, Jie2; Jin, Meiqing2 |
| 刊名 | CHEMICAL ENGINEERING SCIENCE
 |
| 出版日期 | 2024-12-05 |
| 卷号 | 300页码:10 |
| 关键词 | Waste pharmaceutical blisters Plastic Thermo-chemical conversion Steam reforming Machine learning modeling |
| ISSN号 | 0009-2509 |
| DOI | 10.1016/j.ces.2024.120583 |
| 通讯作者 | Yao, Zhitong(sxyzt@126.com) ; Qi, Wei(qiwei@ms.giec.ac.cn) |
| 英文摘要 | It delved into the pyrolysis-gasification behavior of waste pharmaceutical blisters (WPBs), exploring both kinetics and thermodynamics, and employing machine learning modeling. The decomposition of WPBs occurred in three stages, with temperature intervals of 140-350, 350-500, and 500-900 degrees C, respectively. Cyclization/aromatization reactions were hindered, as indicated by mass spectrometric analysis, which revealed the main evolved products, including CxHy, CH3OH, CH4, and H-2. 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 <= 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 modeling results indicated that the ANN19 with a topology structure of 5 * 15 * 1 and genetic programming models showed superior performance in predicting TG data. |
| WOS关键词 | CATALYTIC CRACKING ; TG-FTIR ; STEAM ; PVC ; VOLATILES |
| 资助项目 | Zhejiang Provincial Natural Science Foundation of China[LTY21B070002] |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001287707900001 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 资助机构 | Zhejiang Provincial Natural Science Foundation of China |
| 源URL | [http://ir.giec.ac.cn/handle/344007/42590]  |
| 专题 | 中国科学院广州能源研究所 |
| 通讯作者 | Yao, Zhitong; Qi, Wei |
| 作者单位 | 1.Natl Res Univ TIIAME, Dept Power Supply & Renewable Energy Sources, 39 Kari Niyazov, Tashkent 100000, Uzbekistan 2.Hangzhou Dianzi Univ, Coll Mat Sci & Environm Engn, Hangzhou 310018, Peoples R China 3.Cairo Univ, Irrigat & Hydraul Dept, Giza 12613, Egypt 4.Univ Estadual Campinas, Sch Agr Engn, BR-13083875 Campinas, SP, Brazil 5.Cent Univ Jharkhand, Ctr Excellence Green & Efficient Energy Technol Co, Dept Energy Engn, Ranchi 835205, India 6.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China 7.China Agr Univ, Coll Engn, Beijing 100107, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yao, Zhitong,Tong, Jiayao,Jiang, Jingjing,et al. Pyrolysis-gasification conversion of waste pharmaceutical blisters: Thermo-kinetic and thermodynamic study, fuel gas analysis and machine learning modeling[J]. CHEMICAL ENGINEERING SCIENCE,2024,300:10. |
| APA | Yao, Zhitong.,Tong, Jiayao.,Jiang, Jingjing.,Sattar, Ahmed Mohamed Abdel.,da Silva, Jean Constantino Gomes.,...&Qi, Wei.(2024).Pyrolysis-gasification conversion of waste pharmaceutical blisters: Thermo-kinetic and thermodynamic study, fuel gas analysis and machine learning modeling.CHEMICAL ENGINEERING SCIENCE,300,10. |
| MLA | Yao, Zhitong,et al."Pyrolysis-gasification conversion of waste pharmaceutical blisters: Thermo-kinetic and thermodynamic study, fuel gas analysis and machine learning modeling".CHEMICAL ENGINEERING SCIENCE 300(2024):10. |
入库方式： OAI收割
来源：广州能源研究所
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