燃煤电站锅炉NOx排放与锅炉效率平衡模型及优化

IEEE Conference Anthology Pub Date : 1900-01-01 DOI:10.1109/ANTHOLOGY.2013.6784853

Wang Xu, Chang Tai-hua

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引用次数: 5

摘要

为了满足锅炉高效、低排放的运行要求，在实验数据的基础上，结合BP神经网络建立了混合模型。该模型以锅炉可调运行参数为输入，以NOx排放量和锅炉效率为输出，实现对NOx排放量和热效率的预测。利用遗传算法对燃烧过程进行优化。结果表明，该方法是一种实用、有效的数值优化方法。

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The balanced model and optimization of NOx emission and boiler efficiency at a coal-fired utility boiler

In order to meet the requirement of high efficiency and low emission in boiler operations, a hybrid model is established based on experimental data and combined with BP neural network. This model uses the adjustable operation parameters of boiler as inputs and chooses NOx emission and boiler efficiency as outputs to achieve the prediction of NOx emission and thermal efficiency. And it optimizes the combustion process by using genetic algorithm. The results show that it is an applicable and effective numerical optimization method.

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IEEE Conference Anthology

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