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Measurement and control of NOx emissions using soft computing in a thermal power plant

机译:在火电厂软计算测量和控制NOx排放

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Coal is the major fossil fuel in India and continues to play a pivotal role in the energy sector. In coal-fired thermal power plants the NOx emission reduction can be achieved through the help of expert system which consist of two stages. The first stage is based on a ANN (Artificial Neural Network) model with combustion parameters as inputs and nitrogen oxides as output of the model. The predicted values of the model for full load condition were verified with the actual values. In the second stage, FL (Fuzzy Logic) is used to incorporate the expert experience of human operator in computing and controlling the NOx. These values are then presented to operation Engineers as an Advisory function.
机译:煤炭是印度的主要化石燃料,并继续在能源部门发挥关键作用。在燃煤热电厂中,通过由两个阶段的专家系统的帮助,可以实现NOx排放减少。第一阶段基于ANN(人工神经网络)模型,其具有燃烧参数作为输入和氮氧化物作为模型的输出。使用实际值验证全负载条件模型的预测值。在第二阶段,FL(模糊逻辑)用于纳入人类运营商在计算和控制NOx中的专家体验。然后将这些值呈现给操作工程师作为咨询功能。

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