Pyrolysis conversion of multi-layer packaging waste under a CO2 atmosphere: Thermo-kinetic study, evolved products analysis and artificial neural networks modeling
文献类型：期刊论文
| 作者 | Wang, Binhui2; Yao, Zhitong2; Kumar, Sachin3; Mohamed, Mohammed Salama Abdelhady4; Sattar, Ahmed Mohamed Abdel4; Ortuno, Nuria1; Wang, Xiaobo5; Qi, Wei5 |
| 刊名 | CHEMICAL ENGINEERING SCIENCE
 |
| 出版日期 | 2024-12-05 |
| 卷号 | 300页码:11 |
| 关键词 | Municipal solid waste Packing waste Paperboard Beverage carton Thermo-chemical conversion Artificial neural networks |
| ISSN号 | 0009-2509 |
| DOI | 10.1016/j.ces.2024.120584 |
| 通讯作者 | Yao, Zhitong(ztyao@hdu.edu.cn) ; Qi, Wei(qiwei@ms.giec.ac.cn) |
| 英文摘要 | Packaging waste such as beverage carton forms a significant part of municipal solid waste and its pyrolysis behavior, kinetics, and thermodynamics were studied. A four-stage decomposition process was revealed: dehydration below 200 degree celsius, paperboard degradation at 200-400 degree celsius, polyethylene devolatilization at 400-550 degree celsius, and inorganic decomposition at 550-900 degree celsius. The evolved products included furans and acetic acid during stage II, followed by the presence of 2-butene and 1-pentene in the subsequent stage. Apparent activation energy (Ea) were determined using model-free models, revealing a notable level of comparability among these results. The average Ea was 123.6 kJ/mol within alpha range of 0.10-0.60, increasing to 233.3 kJ/mol beyond that range. The most probable reaction mechanism was determined, with the one-dimensional model proving more reliable. An artificial neural network model was developed to predict the thermal degradation. The selected topology of 5*15*1 displayed a robust ability to predict the thermal data. |
| WOS关键词 | POSTCONSUMER TETRA PAK ; CELLULOSE ; ALUMINUM ; BIOMASS ; RECOVERY ; POLYETHYLENE ; ENERGY ; MICRO |
| 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:001287762300001 |
| 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/344007/42605]  |
| 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.Univ Alicante, Univ Inst Chem Proc Engn, Carretera San Vicente del Raspeig S-N, Alicante 03690, Spain 2.Hangzhou Dianzi Univ, Coll Mat Sci & Environm Engn, Hangzhou 310018, Peoples R China 3.Cent Univ Jharkhand, Ctr Excellence Green & Efficient Energy Technol Co, Dept Energy Engn, Ranchi 835205, India 4.Cairo Univ, Irrigat & Hydraul Dept, Giza 12613, Egypt 5.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Binhui,Yao, Zhitong,Kumar, Sachin,et al. Pyrolysis conversion of multi-layer packaging waste under a CO2 atmosphere: Thermo-kinetic study, evolved products analysis and artificial neural networks modeling[J]. CHEMICAL ENGINEERING SCIENCE,2024,300:11. |
| APA | Wang, Binhui.,Yao, Zhitong.,Kumar, Sachin.,Mohamed, Mohammed Salama Abdelhady.,Sattar, Ahmed Mohamed Abdel.,...&Qi, Wei.(2024).Pyrolysis conversion of multi-layer packaging waste under a CO2 atmosphere: Thermo-kinetic study, evolved products analysis and artificial neural networks modeling.CHEMICAL ENGINEERING SCIENCE,300,11. |
| MLA | Wang, Binhui,et al."Pyrolysis conversion of multi-layer packaging waste under a CO2 atmosphere: Thermo-kinetic study, evolved products analysis and artificial neural networks modeling".CHEMICAL ENGINEERING SCIENCE 300(2024):11. |
入库方式： OAI收割
来源：广州能源研究所
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