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论文编号: |
122214O120130255 |
第一作者所在部门: |
101组 |
中文论文题目: |
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英文论文题目: |
Experiments and simulation of pressurized ash agglomerating fluidized bed gasifier
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论文题目英文: |
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作者: |
刘哲语
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论文出处: |
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刊物名称: |
30th Annual International Pittsburgh Coal Conference.
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年: |
2013
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卷: |
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期: |
1 |
页: |
0-0 |
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摘要: |
Coal gasification is still one of the most important technologies for high-efficiency coal utilization. The fluidized bed gasification has emerged as a promising technology to convert small sized crushed coal into fuel or synthesis gas. In particular, ash agglomerating fluidized bed (AFB) gasifier, developed by Institute of Coal Chemistry, Chinese Academy of Sciences, is an effective means to handle most of commercial coal with high ash content and high ash fusion temperature. Recently, a large pilot scale pressurized gasifier with a designed pressure (3 MPa) has been put into operation for many experimental studies. During gasifier development and process optimization, the model development is valid and helpful to reduce the technical and financial burden. In addition, the application of large scale pressurized AFB gasifier needs the support knowledge from simulative investigation of pressurized gasification process. The simulation of coal gasification performance in this pressurized AFB gasifier is also studied in this paper. Both hydrodynamics and reaction kinetics are considered simultaneously to yield a predictive model for pressurized AFB gasifier based on a combination of ASPEN PLUS and FLUENT software. Because the hydrodynamic parameters and reaction kinetics have been inserted into the model, few model input parameters are needed. Although various conditions will affect the hydrodynamic parameters, the model variables will be modified automatically in hydrodynamic correlations coupled with the powerful physical property database in ASPEN PLUS. So this advantage makes the model suit for different kinds of operating conditions and coal types in AFB gasifier if coal gasification reaction kinetics is available. Different sets of pilot-scale experimental data are used to validate this model. The model predictions are in good agreement with experimental data at syngas composition, carbon conversion, high heat value, cold gas efficiency and dry gas yield. In order to assist with the design, optimization and scale-up of the AFB gasifier, the effects of different operating conditions on gasification performance have been studied in this work. |
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