锅炉炉膛热负荷分布拟合算法研究

doi:10.3969/j. issn. 1000-1158.2014.05.07

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Abstract Design of evaporative heating surface and restriction orifices benefit from measurements and investigations of furnace radiant heat fluxes in coal-fired boilers. A new method of heat fluxes data processing is proposed, the heat fluxes data are converted into fluxes factors basing on the average heat flux of the furnace surface, the heat fluxes factor is a function of relative height of furnace, and in it5 s polynomial regression model, ensuring the sum of squared errors to the minimum is as important as meeting the equality constraint of polynomial coefficients according to the definition of the average heat flux. An improved version of polynomial regression model based on the least squares method is presented accordingly, engineers constantly have similar needs in other problems. The improved regression model was used to analyze furnace heat fluxes data for two types of coal-fired boiler with ordinary combustion technology and air-staged combustion technology. This new regression model based on the least squares method fit the data optimally to meet the intrinsic link between the regression variables.

Key words： Metrology Boiler Furnace radiant heat flux Data processing Improved data regression model ')" href="#">Air staged combustion

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	LIU Fu-guo
	YANG Chen-xu

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LIU Fu-guo,YANG Chen-xu. Study on Radiant Heat Fluxes Fitting Algorithm in Furnace of Utility Boiler[J]. Acta Metrologica Sinica, 2014, 35(5): 440-444.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j. issn. 1000-1158.2014.05.07 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2014/V35/I5/440

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