GE Coal Water Slurry Gasifier Temperature Prediction Based on Neural Network
The control of the furnace temperature of GE coal water slurry gasifier is relatively difficulty.If not adjusted in time,overtemperature of the gasifier is easy,which can cause many hazards to the gasifier body,refractory brick loss,synthesis gas quality,and subsequent production processes.The thermocouple in the gasifier furnace will be frequently damaged or drift,which will cause the incorrect judgement of normal furnace temperature to the operator.Therefore,a prediction method of GE coal-water slurry gasifier temperature based on BP neural network model is established,neural network the temperature of gasifier can be predicteel and adjusted in time according to the existing determinants of the model,the loss caused by overtemperature of gasifier can be avoided or reduced as far as possible,the economic loss caused by frequent replacement of thermocouples of gasifier can be reduced.
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