Research on 6.5MPa multi-nozzle opposed coal-water-slurry gasifier based on CFD
This paper takes the multi-nozzle opposed-type coal-water slurry gasifier in industrial operation as the research object, and constructs a full- process dynamic model of the gasifier based on the Ansys platform. The Euler-Euler multiphase flow model is selected, combined with various equations such...
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| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2025/17/epjconf_icpms2025_01009.pdf |
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| author | Wang Ying Li Tongtong Ren Qingwei Li Haidong Li Ke |
| author_facet | Wang Ying Li Tongtong Ren Qingwei Li Haidong Li Ke |
| author_sort | Wang Ying |
| collection | DOAJ |
| description | This paper takes the multi-nozzle opposed-type coal-water slurry gasifier in industrial operation as the research object, and constructs a full- process dynamic model of the gasifier based on the Ansys platform. The Euler-Euler multiphase flow model is selected, combined with various equations such as the continuity equation, momentum equation, and energy equation, as well as the P-1 radiation model, gas-solid heterogeneous and homogeneous reaction models. Under specific boundary condition assumptions, a numerical simulation of the gasification process in the gasifier is carried out. The research focuses on exploring the influence of changes in the oxygen-to-coal ratio and the concentration of the coal-water slurry on the composition of the effective gas (CO+H₂) at the gasifier outlet and the temperature field of the outlet gas. The simulation results show that within a certain operating range, increasing the oxygen-to-coal ratio will strengthen the combustion heat release, increase the temperature of the outlet syngas. When the oxygen-to-coal ratio reaches 1.3, the effective components of the syngas reach a peak value, and after that, increasing the oxygen-to- coal ratio will cause a slight decrease in the effective components of the syngas. Increasing the concentration of the coal-water slurry can improve the composition of the effective gas and the gasification efficiency, and at the same time increase the temperature of the outlet syngas. By comparing with the actual industrial production data, the reliability of the model is verified. This research provides a design basis and a dynamic control paradigm for the long-term and high-load industrial operation of the gasifier, and provides data support for the combination of machine learning and traditional computational fluid dynamics in the later stage. |
| format | Article |
| id | doaj-art-4ef5cc46bede4a9fb6e0f6eed6d4d4e6 |
| institution | DOAJ |
| issn | 2100-014X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj-art-4ef5cc46bede4a9fb6e0f6eed6d4d4e62025-08-20T03:12:47ZengEDP SciencesEPJ Web of Conferences2100-014X2025-01-013320100910.1051/epjconf/202533201009epjconf_icpms2025_01009Research on 6.5MPa multi-nozzle opposed coal-water-slurry gasifier based on CFDWang Ying0Li Tongtong1Ren Qingwei2Li Haidong3Li Ke4Inner Mongolia University of Science and Technology, BaotouInner Mongolia University of Science and Technology, BaotouInner Mongolia Rongxin Chemical Co., Ltd.Inner Mongolia Rongxin Chemical Co., Ltd.Inner Mongolia University of Science and Technology, BaotouThis paper takes the multi-nozzle opposed-type coal-water slurry gasifier in industrial operation as the research object, and constructs a full- process dynamic model of the gasifier based on the Ansys platform. The Euler-Euler multiphase flow model is selected, combined with various equations such as the continuity equation, momentum equation, and energy equation, as well as the P-1 radiation model, gas-solid heterogeneous and homogeneous reaction models. Under specific boundary condition assumptions, a numerical simulation of the gasification process in the gasifier is carried out. The research focuses on exploring the influence of changes in the oxygen-to-coal ratio and the concentration of the coal-water slurry on the composition of the effective gas (CO+H₂) at the gasifier outlet and the temperature field of the outlet gas. The simulation results show that within a certain operating range, increasing the oxygen-to-coal ratio will strengthen the combustion heat release, increase the temperature of the outlet syngas. When the oxygen-to-coal ratio reaches 1.3, the effective components of the syngas reach a peak value, and after that, increasing the oxygen-to- coal ratio will cause a slight decrease in the effective components of the syngas. Increasing the concentration of the coal-water slurry can improve the composition of the effective gas and the gasification efficiency, and at the same time increase the temperature of the outlet syngas. By comparing with the actual industrial production data, the reliability of the model is verified. This research provides a design basis and a dynamic control paradigm for the long-term and high-load industrial operation of the gasifier, and provides data support for the combination of machine learning and traditional computational fluid dynamics in the later stage.https://www.epj-conferences.org/articles/epjconf/pdf/2025/17/epjconf_icpms2025_01009.pdf |
| spellingShingle | Wang Ying Li Tongtong Ren Qingwei Li Haidong Li Ke Research on 6.5MPa multi-nozzle opposed coal-water-slurry gasifier based on CFD EPJ Web of Conferences |
| title | Research on 6.5MPa multi-nozzle opposed coal-water-slurry gasifier based on CFD |
| title_full | Research on 6.5MPa multi-nozzle opposed coal-water-slurry gasifier based on CFD |
| title_fullStr | Research on 6.5MPa multi-nozzle opposed coal-water-slurry gasifier based on CFD |
| title_full_unstemmed | Research on 6.5MPa multi-nozzle opposed coal-water-slurry gasifier based on CFD |
| title_short | Research on 6.5MPa multi-nozzle opposed coal-water-slurry gasifier based on CFD |
| title_sort | research on 6 5mpa multi nozzle opposed coal water slurry gasifier based on cfd |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2025/17/epjconf_icpms2025_01009.pdf |
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