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Weight Calculation and Operation Adjustment of Factors that Influence Boiler Efficiency

机译:影响锅炉效率的因素的重量计算和操作调整

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For the problem that factors influencing boiler efficiency are complex and have strong coupling, Firstly, artificial neural network was used to establish the model of boiler efficiency, sensitivity analysis based on the model was introduced to calculate the sensitivity coefficient, which reflecting the weights of input parameters on output indicators. According to the orders of weights, the main factors were chosen to be paid more attention and adjusted. Secondly, considering the effects of power and ambient temperature, the target-value of parameters in various conditions were obtained based on fuzzy c-means clustering algorithm, and were introduced as accordance for operation adjustment. The boiler efficiency of 600MW coal-fired boiler in Tashan plant was studied, the results indicate that the method can improve the economy of boiler effectively, guide operators to improve the pertinence of operation adjustment and have a certain significance in making the direction of operation adjustment clear.
机译:对于影响锅炉效率的因素复杂并且具有强耦合的因素,首先,使用人工神经网络来建立锅炉效率的模型,引入了基于模型的敏感性分析来计算灵敏度系数,这反映了输入的重量输出指示符上的参数。根据权重的订单,选择更多的因素来获得更多关注和调整。其次,考虑到功率和环境温度的影响,基于模糊C均值聚类算法获得了各种条件中参数的目标值,并引入了根据操作调整。研究了塔山工厂600MW燃煤锅炉的锅炉效率,结果表明,该方法有效地提高锅炉经济,引导运营商改善运行调整的不受影响,在制定操作方向方向具有一定的意义清除。

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