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Experiment and a catalyst acid property-included global reaction modeling for catalytic pyrolysis of 1-pentene |
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| Authors: | Dongyang Liu Linzhou Zhang Zhiqiu Qiao Yuen Bai Liang Zhao Jinsen Gao Chunming Xu |
| Affiliation: | 1. State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing, China Contribution: Data curation (lead), Formal analysis (lead), Investigation (lead), Methodology (lead), Validation (lead), Writing - original draft (lead);2. State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing, China;3. State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing, China Contribution: Data curation (equal);4. State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing, China Contribution: Data curation (equal), Writing - review & editing (equal);5. State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing, China Contribution: Project administration (equal), Supervision (equal) |
| Abstract: | The acid property of the catalyst is usually one of the most important parameters for the selection and design of catalysts for catalytic pyrolysis of 1-pentene. Here, seven catalysts with similar pore properties and different acid properties were evaluated and characterized in terms of three key properties: Total acid amount (TA), Brønsted to Lewis acid ratio (B/L), and strong to weak acid ratio (S/W). A database of the stoichiometric coefficients of 26 pyrolysis products was constructed. Then, a novel catalyst acid property-included global reaction modeling method was developed, which was used to predict the yields of the 26 pyrolysis products. Besides, a suitable range of TA, B/L, and S/W was obtained for enhancing ethylene and propylene. The model thus can predict the product composition, and be used for the design and selection of the acid properties of catalysts. This simulation method can also be extended to other hydrocarbon systems. |
| Keywords: | 1-pentene acid property catalytic pyrolysis modeling |