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Control oriented modeling and optimization of one dimensional packed bed model of underground coal gasification

机译:面向控制的地下煤气化一维填充床建模与优化

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摘要

To account for nonlinear nature and huge model uncertainties of underground coal gasification (UCG) process, a robust model based control strategy is to be employed. The available models in the literature do not lend themselves to control applications easily. In this work a control oriented one dimensional (1-D) packed bed model of UCG is developed, which can be used in a closed loop configuration with a robust controller to maintain a desired heating value of the exit gas mixture by manipulating the flow rate of injected gases. The model is also capable of predicting time and space profiles of some important parameters, which include solid temperature, composition of exit gas mixture, rates of different chemical reactions and expected life of the UCG reactor in response to different operating conditions and coal properties. Most of these parameters are either impossible or very expensive to measure. There is uncertainty insomecoal properties which is addressed by optimizing few input parameters using sequential quadratic programming (SQP) algorithm, a nonlinear optimization technique. The model results are compared with actual field trials which show a good agreement for the calorific value of exit gas.
机译:为了解决地下煤气化(UCG)过程的非线性性质和巨大的模型不确定性,将采用基于鲁棒模型的控制策略。文献中可用的模型并不适合于轻松控制应用程序。在这项工作中,开发了一种面向控制的UCG一维(1-D)填充床模型,该模型可以在带有鲁棒控制器的闭环配置中使用,以通过控制流速来维持出口气体混合物的所需热值注入的气体。该模型还能够预测一些重要参数的时间和空间分布,这些参数包括固体温度,出口气体混合物的成分,不同化学反应的速率以及UCG反应器根据不同的运行条件和煤质而预期的寿命。这些参数中的大多数都是不可能的,或者测量起来非常昂贵。煤的性质存在不确定性,可以通过使用非线性优化技术顺序二次规划(SQP)算法优化几个输入参数来解决。将模型结果与实际田间试验进行了比较,这表明出口气体的热值具有很好的一致性。

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