Experimental investigations on visualization of three-dimensional temperature distributions in a large-scale pulverized-coal-fired boiler furnace

Zhou, Huaichun; Lou, Chun; Cheng, Qiang; Jiang, Zhiwei; He, Jin; Huang, Benyuan; Pei, Zhenlin; Lu, Chuanxin

doi:10.1016/j.proci.2004.08.090

Cited by 200 publications

(98 citation statements)

References 21 publications

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“…The measurement device consists of one flame image detector and a laptop computer with an image processing software developed for the temperature measurement. [14,15] The flame image detector consists of a lens, an image guide, and a charge-coupled device (CCD) camera (Samsung SCC-833P model). The image guide is fixed in the center of a stainless steel pipe.…”

Section: The Utility Boiler and Temperature Measurementsmentioning

confidence: 99%

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Combustion modeling of blended coal in a 300‐MW tangentially fired boiler using a two‐mixture‐fraction model

Fang

Wang

et al. 2009

Asia-Pacific J Chem Eng

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The combustion process in a 300-MW tangentially fired boiler furnace fired with a blended coal has been numerically simulated. The blended coal contains a low-quality bituminous coal and anthracite and it was injected into the furnace from different burner nozzles. In order to better capture the combustion characteristics, a two-mixture-fraction model has been developed to model the combustion process of each individual coal of the blend. The two mixture fractions were used to separately track the combustion processes of the two component coals to reveal the effect of the combustion of the two coals on the chemical reactions in local zones of the furnace. The sum of the two mixture fractions was used to calculate the gas-phase turbulent combustion. Temperature measurements in the furnace were carried out by a flame image processing technique for model validation. Simulation results show that the temperature and oxygen concentration on the horizontal cross-sections close to the primary air burner nozzles in the furnace are nonuniformly, but symmetrically distributed across the four corners. The temperatures predicted by the simulation agree well with those measured by the flame image processing technique with a maximum error of 8.65%.

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Section: The Utility Boiler and Temperature Measurementsmentioning

confidence: 99%

“…A two-color method was used to calculate the flame temperature from the flame images. The details of the measurement principle and calculation method have been extensively described in Refs [14,15]. The detections were conducted under 100% boiler load.…”

Section: The Utility Boiler and Temperature Measurementsmentioning

confidence: 99%

Combustion modeling of blended coal in a 300‐MW tangentially fired boiler using a two‐mixture‐fraction model

Fang

Wang

et al. 2009

Asia-Pacific J Chem Eng

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“…Two popular emissivity models have been applied to coal-fired flames. Most researchers have assumed a coal flame to be a gray body emitter with a constant emissivity [18][19][20]. Hottel and Broughton's soot emissivity model [21], which is spectrally dependent, is another popular model for radiating soot particles.…”

Section: Introductionmentioning

confidence: 99%

Spectrometer-Based Line-of-Sight Temperature Measurements during Alkali-Pulverized Coal Combustion in a Power Station Boiler

Yan

et al. 2017

Energies

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Abstract:A portable spectrometer system that simultaneously measures the temperature, emissivity, and radiation intensity of an alkali metal was used in a 1000 MW coal-fired power plant boiler furnace. A calibrated fiber-optic spectrometer system was applied to obtain the radiation intensity of the flame. A simple method based on polynomial fitting was used to separate the continuous baseline from the measured flame spectra that contained both continuous and discontinuous bands. Nine synthetic spectra that included the baseline, noise, and three simulated discontinuous bands based on a Gaussian function were created to test the accuracy of the separation method. The accuracy of the estimated continuous baseline was evaluated by the goodness-of-fit coefficient quality metric. The results indicated good spectral matching for the selected profiles. The soot emissivity model by Hottel and Broughton was employed to calculate temperature and emissivity. The influence of discontinuous emission spectra on the temperature and emissivity calculations was evaluated. The results showed that the maximum difference of the measurement points of the calculated temperature was only 6 K and that the relative difference in emissivity among the measurement points was less than 5%. In addition, a comparison between the actual intensity of the alkali metal and the calculated temperature indicated that the change in the radiation intensity of the alkali metal followed the trend of the calculated temperature. This study serves as a preliminary investigation for measuring gas-phase alkali metal concentrations in a furnace.

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“…Especially, Monte Carlo method 6) is popularly applied to radiative heat transfer and reconstructing temperature distribution of flames with radiative image. The comprehensive review of Monte Carlo method in radiative heat transfer has been given by Howell. 7) Huai-Chun Zhou [8][9][10] have numerically and experimentally reconstructed 2-D and 3-D temperature distribution of boiler furnaces using CCD cameras based on the Monte Carlo method. Fei Wang 11) and Dong Liu 12,13) simulated and rebuilt temperature distribution of rectangular enclosure containing inhomogeneous, anisotropically scattering media by inverse radiation analysis based on the Monte Carlo method.…”

Section: Introductionmentioning

confidence: 99%

Reconstruction of Three-dimensional Temperature Distribution with Radiative Image by Monte Carlo Method in Blast Furnace Raceway

Cheng

Zhang

et al. 2017

ISIJ Int.

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This paper presented reconstruction of three-dimensional temperature distribution of raceway from radiative images based on Monte Carlo method and image processing techniques in the blast furnace. The Monte Carlo method was introduced to describe radiative heat transfer of raceway for its efficiency. Color CCD camera was used to obtain radiative information in visible spectrum of raceway. An efficient numerical inverse reconstruction model was established by the relationship between three-dimensional thermal radiation and two-dimensional radiative image. Because the reconstruction was an ill-posed inverse problem, a hybrid Tikhonov regularization method was used to determine the meaningful reconstruction. The numerical simulations were utilized for checking the validity of inverse reconstruction model before each experimental reconstruction. Experiment was done to reconstruct three-dimensional temperature distribution of 2 500 m 3 blast furnace raceway. Ultimately, this method could restore temperature distribution of the raceway effectively. Moreover, computational fluid dynamics (CFD) technology was applied to simulate combustion process and obtain temperature distribution of blast furnace raceway, which was compared with the reconstructed temperature distribution. All results show that the temperature distribution of raceway can be reconstructed reasonably using Monte Carlo method and image processing techniques.

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Experimental investigations on visualization of three-dimensional temperature distributions in a large-scale pulverized-coal-fired boiler furnace

Cited by 200 publications

References 21 publications

Combustion modeling of blended coal in a 300‐MW tangentially fired boiler using a two‐mixture‐fraction model

Combustion modeling of blended coal in a 300‐MW tangentially fired boiler using a two‐mixture‐fraction model

Spectrometer-Based Line-of-Sight Temperature Measurements during Alkali-Pulverized Coal Combustion in a Power Station Boiler

Reconstruction of Three-dimensional Temperature Distribution with Radiative Image by Monte Carlo Method in Blast Furnace Raceway

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