论文部分内容阅读
煤在水蒸汽环境中气化时，煤的热解和焦的气化同时发生，两个过程有一些相同的产物，因此无法通过测量确定两个过程各自的进行情况。如果用煤的热解模型和焦的气化模型共同描述煤在水蒸汽中的气化过程，由于缺乏必要的数据，难以保证模型参数的合理性。要直接描述煤热解和焦气化形成的综合过程，传统的数学回归方法又难以胜任。本文用神经网络方法对煤在水蒸汽中气化的综合过程进行了直接辨识，取得了较好的模拟效果，并对煤在水蒸汽中的气化过程有了更深入的了解，为煤气化过程的“活性焦比”模型提供了支持。
When coal is gasified in a steam environment, the pyrolysis of coal and the coke gasification occur simultaneously, and the two processes have some of the same product and therefore can not be measured to determine the respective course of the two processes. If coal pyrolysis model and coke gasification model together describe the process of coal gasification in water vapor, due to the lack of necessary data, it is difficult to ensure the model parameters reasonable. To directly describe the process of coal pyrolysis and formation of coke formation, the traditional mathematical regression method is not competent. In this paper, the neural network method for coal gasification in water vapor in the process of direct identification, and achieved good simulation results, and coal gasification process in water vapor have a more in-depth understanding of the coal gasification The “active coke” model of the process provides support.