Journal of Zhejiang University SCIENCE A
ISSN 1673-565X(Print), 1862-1775(Online), Monthly

2007   Vol. 8   No. 11   p. 1853~1857

On-line Access Date:   Oct. 31, 2007
[ Home Page ]   |   [ Full Text ]

Simulation study on radiative imaging of combustion flame in furnace

LIU Dong, WANG Fei†‡, HUANG Qun-xing, YAN Jian-hua, CHI Yong, CEN Ke-fa

(State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, China)
Corresponding Author
E-mail: liudong@zju.edu.cn; wangfei@cmee.zju.edu.cn
Received Jan. 29, 2007 revision accepted Apr. 30, 2007

Abstract: Radiative imaging of combustion flame in furnace of power plant plays an increasingly important role in combustion diagnosis. This paper presents a new method for calculating the radiative imaging of three-dimensional (3D) combustion flame based on Monte Carlo method and optical lens imaging. Numerical simulation case was used in this study. Radiative images were calculated and images obtained can not only present the energy distribution on the charge-coupled device (CCD) camera target plane but also reflect the energy distribution condition in the simulation furnace. Finally the relationships between volume elements and energy shares were also discussed.

Key words: Combustion flame, Radiative imaging, Charge-coupled device (CCD) cameras, Energy share, Furnace
doi:10.1631/jzus.2007.A1853             CLC number: TK22

References:

[1] Brisley, P.M., Lu, G., Yan, Y., 2005. Three-dimensional temperature measurement of combustion flames using a single monochromatic CCD camera. IEEE Trans. Inst. and Meas., 54(4):1417-1421.

[2] Farmer, J.T., Howell, J.R., 1994. Monte Carlo prediction of radiative heat transfer in inhomogeneous, anisotropic, nongray media. Journal of Thermophysics and Heat Transfer, 8(1):133-139.

[3] Huang, Q.X., Ma, Z.Y., Yan, J.H., Chi, Y., Wang, F., Cen, K.F., 2005. 300 MW boiler quasi-three-dimensional temperature field fast reconstruction based on interpolated filter back projection method. Proceedings of the CSEE, 25(6):134-138 (in Chinese).

[4] Lou, C., Han, S.D., Liu, H., Zhou, H.C., 2002. A new model of radiative image formation for flames of pulverized-coal combustion. Journal of Engineering Thermophysics, 23(suppl.):93-96 (in Chinese).

[5] Lu, G., Yan, Y., Colechin, M., 2004. A digital imaging based multifunctional flame monitoring system. IEEE Trans. Inst. and Meas., 53(4):1152-1157.

[6] Shimoda, M., Sugano, A., Kimura, T., Watanabe, Y., Ishiyama, K., 1990. Prediction method of unburnt carbon for coal fired utility boiler using image processing technique of combustion flame. IEEE Transactions on Energy Conversion, 5(4):640-645.

[7] Wang, F., Wang, X.J., Ma, Z.Y., Yan, J.H., Chi, Y., Wei, C.Y., Ni, M.J., Cen, K.F., 2002. The research on the estimation for the NOx emissive concentration of the pulverized coal boiler by the flame image processing technique. Fuel, 81(16):2113-2120.

[8] Wang, F., Ma, Z.Y., Yan, J.H., Cen, K.F., 2004. Model and experiment for three-dimensional temperature measurement based on flame image. Journal of Combustion Science and Technology, 10(2):140-145 (in Chinese).

[9] Yan, Y., Lu, G., Colechin, M., 2002. Monitoring and characterisation of pulverised coal flames using digital imaging techniques. Fuel, 81(5):647-656.

[10] Zhou, H.C., Han, S.D., Sheng, F., Zheng, C.G., 2002. Visualization of three-dimensional temperature distributions in a large-scale furnace via regularized reconstruction from radiative energy images: numerical studies. JQSRT, 72:361-383.