Modeling, prediction and multi-objective optimization of the coal gasification system
As global energy demand continues to increase, coal as basic energy still accounts for a significant proportion. Under the pressure of environmental protection, clean and efficient coal utilization technologies are in great demand. Coal gasification technology has the potential to realize near-zero-...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2021-01-01
|
| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/18/e3sconf_icret2021_02001.pdf |
| _version_ | 1818617152902529024 |
|---|---|
| author | Li Ran Yang Zhen Duan Yuanyuan |
| author_facet | Li Ran Yang Zhen Duan Yuanyuan |
| author_sort | Li Ran |
| collection | DOAJ |
| description | As global energy demand continues to increase, coal as basic energy still accounts for a significant proportion. Under the pressure of environmental protection, clean and efficient coal utilization technologies are in great demand. Coal gasification technology has the potential to realize near-zero-emissions for coal utilization. This paper establishes the coal gasification system model and analyzes the effect of oxygen/coal ratio and water/coal ratio on the system performance index of cold syngas efficiency, effective component ratio, carbon conversion ratio, and production ratio of hydrogen. The results show that when the oxygen/coal ratio increases, the efficiency of cold syngas and effective components ratio increase first and then decrease, carbon conversion ratio first increases and then remains unchanged, hydrogen production ratio gradually decreases; When the steam/coal ratio increases, the cold syngas efficiency, and carbon conversion ratio first increase and then decrease, effective component ratio ingredients gradually decreases, and the hydrogen production ratio increases. Using BP neural network to realize the prediction of the gasification system, and the mean square error reaches the magnitude of 10e-7. Multi-objective optimization results show that the oxygen/coal ratio and steam/coal ratio corresponding to the highest production ratio of hydrogen is 0.52 and 0.05. The highest carbon conversion ratio corresponds to the oxygen/coal ratio of 0.95 and the steam/coal ratio of 0.05. |
| first_indexed | 2024-12-16T17:01:10Z |
| format | Article |
| id | doaj.art-963e83eeefd545a5a5f3af2bbcf82026 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-16T17:01:10Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-963e83eeefd545a5a5f3af2bbcf820262022-12-21T22:23:44ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012420200110.1051/e3sconf/202124202001e3sconf_icret2021_02001Modeling, prediction and multi-objective optimization of the coal gasification systemLi Ran0Yang Zhen1Duan Yuanyuan2Key Laboratory for Thermal Science and Power Engineering of MOE, Beijing Key Laboratory for CO2 Utilization and Reduction Technology, Tsinghua UniversityKey Laboratory for Thermal Science and Power Engineering of MOE, Beijing Key Laboratory for CO2 Utilization and Reduction Technology, Tsinghua UniversityKey Laboratory for Thermal Science and Power Engineering of MOE, Beijing Key Laboratory for CO2 Utilization and Reduction Technology, Tsinghua UniversityAs global energy demand continues to increase, coal as basic energy still accounts for a significant proportion. Under the pressure of environmental protection, clean and efficient coal utilization technologies are in great demand. Coal gasification technology has the potential to realize near-zero-emissions for coal utilization. This paper establishes the coal gasification system model and analyzes the effect of oxygen/coal ratio and water/coal ratio on the system performance index of cold syngas efficiency, effective component ratio, carbon conversion ratio, and production ratio of hydrogen. The results show that when the oxygen/coal ratio increases, the efficiency of cold syngas and effective components ratio increase first and then decrease, carbon conversion ratio first increases and then remains unchanged, hydrogen production ratio gradually decreases; When the steam/coal ratio increases, the cold syngas efficiency, and carbon conversion ratio first increase and then decrease, effective component ratio ingredients gradually decreases, and the hydrogen production ratio increases. Using BP neural network to realize the prediction of the gasification system, and the mean square error reaches the magnitude of 10e-7. Multi-objective optimization results show that the oxygen/coal ratio and steam/coal ratio corresponding to the highest production ratio of hydrogen is 0.52 and 0.05. The highest carbon conversion ratio corresponds to the oxygen/coal ratio of 0.95 and the steam/coal ratio of 0.05.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/18/e3sconf_icret2021_02001.pdf |
| spellingShingle | Li Ran Yang Zhen Duan Yuanyuan Modeling, prediction and multi-objective optimization of the coal gasification system E3S Web of Conferences |
| title | Modeling, prediction and multi-objective optimization of the coal gasification system |
| title_full | Modeling, prediction and multi-objective optimization of the coal gasification system |
| title_fullStr | Modeling, prediction and multi-objective optimization of the coal gasification system |
| title_full_unstemmed | Modeling, prediction and multi-objective optimization of the coal gasification system |
| title_short | Modeling, prediction and multi-objective optimization of the coal gasification system |
| title_sort | modeling prediction and multi objective optimization of the coal gasification system |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/18/e3sconf_icret2021_02001.pdf |
| work_keys_str_mv | AT liran modelingpredictionandmultiobjectiveoptimizationofthecoalgasificationsystem AT yangzhen modelingpredictionandmultiobjectiveoptimizationofthecoalgasificationsystem AT duanyuanyuan modelingpredictionandmultiobjectiveoptimizationofthecoalgasificationsystem |