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Investigation of coal particle gasification processes with application leading to underground coal gasification

机译:煤粉气化过程的研究及其在地下煤气化中的应用

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A coal particle model is developed to investigate the thermochemical processes of gasification for underground coal applications. The chemical reactions are defined with an Eddy Break up (EBU) model for controlling the reaction mechanisms and the study is particularly focused on identification of the important kinetic parameters, which control the consumption rate of coal mass. As an initial validation, the coal particle oxidation based on the experimental results is used for comparison. The gasification reactions are subsequently applied for the thermochemical process investigation, and the results show that the best agreement of coal oxidation is achieved by the pre-exponent factor (A) of 0.002 and 85500, for the reactions, R2 (C + O-2 = CO2) and R3 (C + 0.5O(2) = CO), respectively. The kinetic parameters for the gasification process of coal particle leading to the syngas production are also optimised. The results show that the production of H-2 and CO is controlled significantly by the level of oxygen concentration in the char reactions. However, their chemical rates are strongly dependent upon the reaction zones. For example, CO is produced in both the oxidation and reduction reaction zones, while H-2` production is dominated in the reduction zone. Spatio-temporal distributions of the gas species along with the coal particle temperature provide additional information for further development of UCG modelling. Ultimately, the model gives a good guideline with the associated thermochemical processes that can help developing advanced coal gasification technology and lead to improved syngas quality.
机译:建立了煤颗粒模型以研究地下煤应用的气化热化学过程。通过控制反应机理的涡流分解(EBU)模型定义了化学反应,该研究特别侧重于确定重要的动力学参数,这些动力学参数控制了煤的消耗速度。作为初步验证,将基于实验结果的煤颗粒氧化用于比较。随后将气化反应用于热化学过程研究,结果表明,煤的氧化最佳反应是通过反应指数R2(C + O-2)的0.002和85500的预指数因子(A)实现的= CO2)和R3(C + 0.5O(2)= CO)。还优化了导致合成气生产的煤颗粒气化过程的动力学参数。结果表明,在焦炭反应中,H-2和CO的生成受到氧浓度水平的显着控制。然而,它们的化学速率在很大程度上取决于反应区。例如,在氧化反应区和还原反应区中均产生CO,而在还原区中H-2`的产生占主导。气体种类的时空分布以及煤颗粒温度为UCG建模的进一步发展提供了额外的信息。最终,该模型为相关的热化学过程提供了良好的指导,可以帮助开发先进的煤气化技术并改善合成气的质量。

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