Study on Coupled Model of Water Wall Temperature Prediction in Fossil Fuel Power Station Boiler
Uneven distribution of wall temperature in boiler water-cooled walls can lead to excessive temperature of some flue gas,making it difficult for heat energy in the flue gas to be fully transferred to the water-cooled wall,thereby reducing heat transfer efficiency.Moreover,un-even wall temperature can cause local overheating,leading to unstable combustion and affecting combustion efficiency.Therefore,a coupled model for predicting the water wall temperature of boilers in thermal power plants is studied.Analyze the calculation principle of boiler water-cooled wall temperature,calculate the boiler water-cooled wall temperature,and use LSTM to construct a coupled model for wall temperature prediction.Determine the structure of the model and the expression for predicting the boiler water-cooled wall temperature.Adopting a multi-point temperature data fusion method to improve the accuracy of historical wall temperature data and wall temperature prediction results,using a batch estimation arithmetic mean method to fuse water cooled wall multi-point temperature data,calculating the average and standard devia-tion of wall temperature.Input the fusion results of multi-point temperature data on the water-cooled wall into the wall temperature prediction coupling model,calculate the wall temperature prediction error compensation,obtain the final wall temperature prediction result,and achieve boiler water-cooled wall temperature prediction.The experimental results show that the predicted wall temperature of the water-cooled wall ob-tained by the model in this paper is consistent with the actual wall temperature,and the average error of wall temperature prediction is only 1.291%,it indicates that the model in this article has a good prediction effect on the wall temperature of water-cooled walls and a high predic-tion accuracy.
boilermulti point temperature data fusionwall temperature predictionwater cooled wallfossil fuel power stationcoupling model