Heating area ash degree judgment method considering global heat transfer influence of coal-fired boiler

Abstract

The invention relates to a heating area ash degree judgment method considering global heat transfer influence of a coal-fired boiler. The heating area ash degree judgment method comprises the following steps of 1) acquiring a load P of a current moment and inlet and outlet steam temperature difference Delta Tk of each convection heating surface; 2) acquiring an inlet and outlet steam temperature difference change value vector Delta T<a-k> of a heating surface k which is not ash-blown; 3) correcting inlet and outlet steam temperature difference of other heating surfaces to obtain a corrected inlet and outlet steam temperature difference correction value Delta T'<k>; 4) calculating an ash degree coefficient Beta k of each heating surface according to the inlet and outlet steam temperature difference correction value Delta T'<k> of the heating surface; and 5) starting ash blowing until ash accumulation coefficient is reduced to a value below a starting threshold when the ash accumulationcoefficient of a certain heating surface is larger than the starting threshold, and completing ash blowing of the heating surface of the coal-fired boiler. Compared with the prior art, the heating area ash degree judgment method is scientific, practical, accurate and simple.

Description

technical field [0001] The invention relates to the field of detection of coal-fired boilers, in particular to a method for judging the ash degree of the heated area considering the influence of the overall heat transfer of the coal-fired boiler. Background technique [0002] The detection of ash level in the heating area of ​​coal-fired boilers is the basis and premise of optimizing the soot blowing strategy. At present, the judgment of the ash level in the heating area mainly includes the cleaning factor method, the heat transfer effectiveness ratio method, the neural network method, the entropy production analysis method and the export method. However, in practical applications, due to the uncertainty of coal quality, load changes, and the complex energy interaction of metal heat storage and heat exchange systems, the accuracy of the above method for determining the degree of ash accumulation is difficult to guarantee. Contents of the invention [0003] The object of th...

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Problems solved by technology

[0002] The detection of ash level in the heating area of ​​coal-fired boilers is the basis and premise of optimizing the soot blowing strategy. At present, the judgment of the ash level in the heating area mainly includes the cleaning factor method, the heat transfer effectiveness ratio method, the neural network method, the entropy production analysis method and the export method. However, in practical applications, due to the uncertainty of coal quality, load changes, and the complex energy interaction of metal heat storage and heat exchange systems, the accuracy of the above method for determining the degree of ash accumulation is difficult to guarantee.

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