Method, apparatus and device for predicting wall temperature deviation of high-temperature heating surface tube panel of boiler

An apparatus for predicting a wall temperature deviation of a high temperature heating surface tube panel of a boiler, applied to a combustion system of a coal-fired generating unit, wherein the apparatus comprises:

• a processor and a memory, wherein
• the memory configured to store program codes, and transmit the program codes to the processor;
• and the program codes, when executed by the processor, to cause the processor to
• obtain operating data of the combustion system of the coal-fired generating unit;
• and select, from the operation data, data affecting the wall temperature deviation of the high temperature heating surface tube panel of the boiler, as factor data;
• establish a three-dimensional boiler simulation model in CFD software according to the factor data and a structure of the boiler, and calculate swirl intensity at a furnace outlet of the boiler using a swirl momentum moment formula in the boiler simulation model;
• calculate a wall temperature deviation coefficient of the high temperature heating surface tube panel of the boiler using a wall temperature deviation coefficient formula in the boiler simulation model;
• perform a quadratic fit on the swirl intensity and the wall temperature deviation coefficient, to obtain a predicting model of the wall temperature deviation of the high temperature heating surface tube panel of the boiler;
• and
• use factor data and swirl intensity of a boiler to be predicted, as an input of the predicting model, and obtain an output of the predicting model as the wall temperature deviation of the high temperature heating surface tube panel of the boiler to be predicted.

A non-transitory computer-readable medium having a computer program stored thereon, wherein the computer program, when executed by a processor, causes the processor to:

• obtain operating data of the combustion system of the coal-fired generating unit;
• and select, from the operation data, data affecting the wall temperature deviation of the high temperature heating surface tube panel of the boiler, as factor data;
• establish a three-dimensional boiler simulation model in CFD software according to the factor data and a structure of the boiler, and calculate swirl intensity at a furnace outlet of the boiler using a swirl momentum moment formula in the boiler simulation model;
• calculate a wall temperature deviation coefficient of the high temperature heating surface tube panel of the boiler using a wall temperature deviation coefficient formula in the boiler simulation model;
• perform a quadratic fit on the swirl intensity and the wall temperature deviation coefficient, to obtain a predicting model of the wall temperature deviation of the high temperature heating surface tube panel of the boiler;
• and
• use factor data and swirl intensity of a boiler to be predicted, as an input of the predicting model, and obtain an output of the predicting model as the wall temperature deviation of the high temperature heating surface tube panel of the boiler to be predicted.