This study aimed to investigate the numerical modelling parameters that are in good agreement with experimental data for the temperature distribution of a non-premixed swirling methane flame. All numerical calculations have been performed with FLUENT, a computational fluid dynamics code. P-1 radiation model has been chosen for all numerical calculations. In addition, the swirl number has been taken 0.4 value to validate the results with respect to reference experimental data. All comparisons have been performed in axial and radial temperature distributions according to experimental data. Firstly, the number of swirl has been defined as a user-defined function. Thus, the effect of defining user-defined functions has been examined in the swirl number. Secondly, the model constant (A) of the eddy dissipation combustion model has been investigated to determine suitable value. After that, the eddy dissipation and PDF mixture fraction combustion models have been compared with each other. Finally, k-ε standard, realizable and RNG models have been analyzed to determine the proper turbulence model. The results showed that to define the swirl number as a user-defined function in the comparison tests has not been an important effect to obtain good agreement with the experimental temperature distribution data. It has been found that the value of one for the Eddy dissipation model constant is suitable for this model. It has also been found that the experimental results in both combustion models give approximate results, but the PDF model is particularly better at axial temperature distribution. Moreover, it has been seen that the k-ε realizable turbulence model is more suitable for this model.
1. Wilkes, N. S., Guilbert, P. W., Shepherd, C. M., and Simcox, S., “The Application of Harwell-Flow 3D to Combustion Models,” Atomic Energy Authority Report, Harwell, UK, Paper No. AERE-R13508, (1989)
2. Song, G., Bjørge, T., Holen, J., & Magnussen, B. F. “Simulation of fluid flow and gaseous radiation heat transfer in a natural gas-fired furnace.” International Journal of Numerical Methods for Heat & Fluid Flow, 7(2/3), 169-180. (1997).
3. Chen, R. H. “A parametric study of NO2 emission from turbulent H2 and CH4 jet diffusion flames.” Combustion and flame, 112(1-2), 188-198, (1998).
4. Ma, C. Y., Mahmud, T., Gaskell, P. H., & Hampartsoumian, E. “Numerical predictions of a turbulent diffusion flame in a cylindrical combustor using eddy dissipation and flamelet combustion models.” Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 213(7), 697-705., (1999).
5. Morvan, D., Porterie, B., Loraud, J. C., & Larini, M. “Numerical simulation of a methane/air radiating turbulent diffusion flame.” International Journal of Numerical Methods for Heat & Fluid Flow, 10(2), 196-227., (2000).
6. Keramida, E. P., Liakos, H. H., Founti, M. A., Boudouvis, A. G., & Markatos, N. C. “The discrete transfer radiation model in a natural gas‐fired furnace. International journal for numerical methods in fluids,” 34(5), 449-462., (2000).
7. Ilbas, M., Crayford, A. P., Yılmaz, I., Bowen, P. J., & Syred, N. “Laminar-burning velocities of hydrogen–air and hydrogen–methane–air mixtures: an experimental study.” International Journal of Hydrogen Energy, 31(12), 1768-1779, (2006).
8. Park, J., Keel, S. I., & Yun, J. H. “Addition effects of H2 and H2O on flame structure and pollutant emissions in methane–air diffusion flame”. Energy & Fuels, 21(6), 3216-3224, (2007).
9. Khelil, A., Naji, H., Loukarfi, L., and Mompean, G., “Prediction of a High Swirled Natural Gas Diffusion Flame Using a PDF Model,” Fuel, 88, pp. 374–381, (2009),
10. Hu, E., Huang, Z., Zheng, J., Li, Q., & He, J. “Numerical study on laminar burning velocity and NO formation of premixed methane–hydrogen–air flames”, International journal of hydrogen energy, 34(15), 6545-6557, (2009).
11. Liu, H., Dong, S., Li, B. W., & Chen, H. G., “Parametric investigations of premixed methane–air combustion in two-section porous media by numerical simulation.”, Fuel, 89(7), 1736-1742, (2010).
12. Bhadraiah, K., & Raghavan, V. “Numerical simulation of laminar co-flow methane–oxygen diffusion flames: effect of chemical kinetic mechanisms”. Combustion Theory and Modelling, 15(1), 23-46, (2010).
13. Saqr, K. M., Aly, H. S., Sies, M. M., & Wahid, M. A., “Effect of free stream turbulence on NOx and soot formation in turbulent diffusion CH4-air flames”. International Communications in Heat and Mass Transfer, 37(6), 611-617, (2010).
14. Khanafer, K., & Aithal, S. M., “Fluid-dynamic and NOx computation in swirl burners”, International Journal of Heat and Mass Transfer, 54(23-24), 5030-5038, (2011).
15. Monaghan, R. F., Tahir, R., Cuoci, A., Bourque, G., Füri, M., Gordon, R. L., and Curran, H. J. “Detailed multi-dimensional study of pollutant formation in a methane diffusion flame”. Energy & fuels, 26(3), 1598-1611, (2012).
16. İlbaş, M., & Yılmaz, İ., “Experimental analysis of the effects of hydrogen addition on methane combustion”, International Journal of Energy Research, 36(5), 643-647, (2012).
17. Yılmaz, I., “Effect of swirl number on combustion characteristics in a natural gas diffusion flame”. Journal of Energy Resources Technology, 135(4), 042204, (2013).
18. Abdul-Sater, H., & Krishnamoorthy, G., “An assessment of radiation modeling strategies in simulations of laminar to transitional, oxy-methane, diffusion flames”. Applied Thermal Engineering, 61(2), 507-518, (2013).
19. Yılmaz, İ., Taştan, M., İlbaş, M., & Tarhan, C. “Effect of turbulence and radiation models on combustion characteristics in propane–hydrogen diffusion flames”. Energy conversion and management, 72, 179-186, (2013).
20. İlbaş, M., Karyeyen, S., & Yilmaz, İ. “Effect of swirl number on combustion characteristics of hydrogen-containing fuels in a combustor”. International Journal of Hydrogen Energy, 41(17), 7185-7191, (2016).
21. Yilmaz, H., Cam, O., Tangoz, S., & Yilmaz, I., “Effect of different turbulence models on combustion and emission characteristics of hydrogen/air flames”. International Journal of Hydrogen Energy, 42(40), 25744-25755, (2017).
22. Karyeyen, S., & Ilbas, M., “Turbulent diffusion flames of coal derived-hydrogen supplied low calorific value syngas mixtures in a new type of burner: An experimental study”. International Journal of Hydrogen Energy, 42(4), 2411-2423, (2017).
23. Ilbas, M., & Karyeyen, S. “Turbulent diffusion flames of a low-calorific value syngas under varying turbulator angles”. Energy, 138, 383-393, (2017).
24. Rashwan, S. S., “The Effect of Swirl Number and Oxidizer Composition on Combustion Characteristics of Non-Premixed Methane Flames”. Energy & Fuels, 32(2), 2517-2526, (2018).
25. Fluent, A. (2017). 18.0 ANSYS Fluent theory guide 18.0. Ansys Inc.
26. Spangelo ∅. “Experimental and theoretical studies of a lox NOX swirl burner” ,PhD Thesis, The Norwegian University of Science and Technology, September 2004.
Comparison of the Numerical Models for the Temperature Distributions of Non-Premixed Swirling Methane Flame
This
study aimed to investigate the numerical modelling parameters that are
in good agreement with experimental data for the temperature
distribution of a non-premixed swirling methane flame. All numerical
calculations have been performed with FLUENT, a computational fluid
dynamics code. P-1 radiation model has been chosen for all numerical
calculations. In addition, the swirl number has been taken 0.4 value to
validate the results with respect to reference experimental data. All
comparisons have been performed in axial and radial temperature
distributions according to experimental data. Firstly, the number of swirl
has been defined as a user-defined function. Thus, the effect of
defining user-defined functions has been examined in the swirl number.
Secondly, the model constant (A) of the eddy dissipation combustion
model has been investigated to determine suitable value. After that, the
eddy dissipation and PDF mixture fraction combustion models have been
compared with each other. Finally, k-ε
standard, realizable and RNG models have been analyzed to determine the
proper turbulence model. The results showed that to define the swirl
number as a user-defined function in the comparison tests has not been
an important effect to obtain good agreement with the experimental
temperature distribution data. It has been found that the value of one
for the Eddy dissipation model constant is suitable for this model. It
has also been found that the experimental results in both combustion
models give approximate results, but the PDF model is particularly
better at axial temperature distribution. Moreover, it has been seen
that the k-ε realizable turbulence model is more suitable for this
model.
1. Wilkes, N. S., Guilbert, P. W., Shepherd, C. M., and Simcox, S., “The Application of Harwell-Flow 3D to Combustion Models,” Atomic Energy Authority Report, Harwell, UK, Paper No. AERE-R13508, (1989)
2. Song, G., Bjørge, T., Holen, J., & Magnussen, B. F. “Simulation of fluid flow and gaseous radiation heat transfer in a natural gas-fired furnace.” International Journal of Numerical Methods for Heat & Fluid Flow, 7(2/3), 169-180. (1997).
3. Chen, R. H. “A parametric study of NO2 emission from turbulent H2 and CH4 jet diffusion flames.” Combustion and flame, 112(1-2), 188-198, (1998).
4. Ma, C. Y., Mahmud, T., Gaskell, P. H., & Hampartsoumian, E. “Numerical predictions of a turbulent diffusion flame in a cylindrical combustor using eddy dissipation and flamelet combustion models.” Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 213(7), 697-705., (1999).
5. Morvan, D., Porterie, B., Loraud, J. C., & Larini, M. “Numerical simulation of a methane/air radiating turbulent diffusion flame.” International Journal of Numerical Methods for Heat & Fluid Flow, 10(2), 196-227., (2000).
6. Keramida, E. P., Liakos, H. H., Founti, M. A., Boudouvis, A. G., & Markatos, N. C. “The discrete transfer radiation model in a natural gas‐fired furnace. International journal for numerical methods in fluids,” 34(5), 449-462., (2000).
7. Ilbas, M., Crayford, A. P., Yılmaz, I., Bowen, P. J., & Syred, N. “Laminar-burning velocities of hydrogen–air and hydrogen–methane–air mixtures: an experimental study.” International Journal of Hydrogen Energy, 31(12), 1768-1779, (2006).
8. Park, J., Keel, S. I., & Yun, J. H. “Addition effects of H2 and H2O on flame structure and pollutant emissions in methane–air diffusion flame”. Energy & Fuels, 21(6), 3216-3224, (2007).
9. Khelil, A., Naji, H., Loukarfi, L., and Mompean, G., “Prediction of a High Swirled Natural Gas Diffusion Flame Using a PDF Model,” Fuel, 88, pp. 374–381, (2009),
10. Hu, E., Huang, Z., Zheng, J., Li, Q., & He, J. “Numerical study on laminar burning velocity and NO formation of premixed methane–hydrogen–air flames”, International journal of hydrogen energy, 34(15), 6545-6557, (2009).
11. Liu, H., Dong, S., Li, B. W., & Chen, H. G., “Parametric investigations of premixed methane–air combustion in two-section porous media by numerical simulation.”, Fuel, 89(7), 1736-1742, (2010).
12. Bhadraiah, K., & Raghavan, V. “Numerical simulation of laminar co-flow methane–oxygen diffusion flames: effect of chemical kinetic mechanisms”. Combustion Theory and Modelling, 15(1), 23-46, (2010).
13. Saqr, K. M., Aly, H. S., Sies, M. M., & Wahid, M. A., “Effect of free stream turbulence on NOx and soot formation in turbulent diffusion CH4-air flames”. International Communications in Heat and Mass Transfer, 37(6), 611-617, (2010).
14. Khanafer, K., & Aithal, S. M., “Fluid-dynamic and NOx computation in swirl burners”, International Journal of Heat and Mass Transfer, 54(23-24), 5030-5038, (2011).
15. Monaghan, R. F., Tahir, R., Cuoci, A., Bourque, G., Füri, M., Gordon, R. L., and Curran, H. J. “Detailed multi-dimensional study of pollutant formation in a methane diffusion flame”. Energy & fuels, 26(3), 1598-1611, (2012).
16. İlbaş, M., & Yılmaz, İ., “Experimental analysis of the effects of hydrogen addition on methane combustion”, International Journal of Energy Research, 36(5), 643-647, (2012).
17. Yılmaz, I., “Effect of swirl number on combustion characteristics in a natural gas diffusion flame”. Journal of Energy Resources Technology, 135(4), 042204, (2013).
18. Abdul-Sater, H., & Krishnamoorthy, G., “An assessment of radiation modeling strategies in simulations of laminar to transitional, oxy-methane, diffusion flames”. Applied Thermal Engineering, 61(2), 507-518, (2013).
19. Yılmaz, İ., Taştan, M., İlbaş, M., & Tarhan, C. “Effect of turbulence and radiation models on combustion characteristics in propane–hydrogen diffusion flames”. Energy conversion and management, 72, 179-186, (2013).
20. İlbaş, M., Karyeyen, S., & Yilmaz, İ. “Effect of swirl number on combustion characteristics of hydrogen-containing fuels in a combustor”. International Journal of Hydrogen Energy, 41(17), 7185-7191, (2016).
21. Yilmaz, H., Cam, O., Tangoz, S., & Yilmaz, I., “Effect of different turbulence models on combustion and emission characteristics of hydrogen/air flames”. International Journal of Hydrogen Energy, 42(40), 25744-25755, (2017).
22. Karyeyen, S., & Ilbas, M., “Turbulent diffusion flames of coal derived-hydrogen supplied low calorific value syngas mixtures in a new type of burner: An experimental study”. International Journal of Hydrogen Energy, 42(4), 2411-2423, (2017).
23. Ilbas, M., & Karyeyen, S. “Turbulent diffusion flames of a low-calorific value syngas under varying turbulator angles”. Energy, 138, 383-393, (2017).
24. Rashwan, S. S., “The Effect of Swirl Number and Oxidizer Composition on Combustion Characteristics of Non-Premixed Methane Flames”. Energy & Fuels, 32(2), 2517-2526, (2018).
25. Fluent, A. (2017). 18.0 ANSYS Fluent theory guide 18.0. Ansys Inc.
26. Spangelo ∅. “Experimental and theoretical studies of a lox NOX swirl burner” ,PhD Thesis, The Norwegian University of Science and Technology, September 2004.
Tunç, G., & Yılmaz, İ. (2019). Comparison of the Numerical Models for the Temperature Distributions of Non-Premixed Swirling Methane Flame. Politeknik Dergisi, 22(4), 819-826. https://doi.org/10.2339/politeknik.448529
AMA
Tunç G, Yılmaz İ. Comparison of the Numerical Models for the Temperature Distributions of Non-Premixed Swirling Methane Flame. Politeknik Dergisi. Aralık 2019;22(4):819-826. doi:10.2339/politeknik.448529
Chicago
Tunç, Güven, ve İlker Yılmaz. “Comparison of the Numerical Models for the Temperature Distributions of Non-Premixed Swirling Methane Flame”. Politeknik Dergisi 22, sy. 4 (Aralık 2019): 819-26. https://doi.org/10.2339/politeknik.448529.
EndNote
Tunç G, Yılmaz İ (01 Aralık 2019) Comparison of the Numerical Models for the Temperature Distributions of Non-Premixed Swirling Methane Flame. Politeknik Dergisi 22 4 819–826.
IEEE
G. Tunç ve İ. Yılmaz, “Comparison of the Numerical Models for the Temperature Distributions of Non-Premixed Swirling Methane Flame”, Politeknik Dergisi, c. 22, sy. 4, ss. 819–826, 2019, doi: 10.2339/politeknik.448529.
ISNAD
Tunç, Güven - Yılmaz, İlker. “Comparison of the Numerical Models for the Temperature Distributions of Non-Premixed Swirling Methane Flame”. Politeknik Dergisi 22/4 (Aralık 2019), 819-826. https://doi.org/10.2339/politeknik.448529.
JAMA
Tunç G, Yılmaz İ. Comparison of the Numerical Models for the Temperature Distributions of Non-Premixed Swirling Methane Flame. Politeknik Dergisi. 2019;22:819–826.
MLA
Tunç, Güven ve İlker Yılmaz. “Comparison of the Numerical Models for the Temperature Distributions of Non-Premixed Swirling Methane Flame”. Politeknik Dergisi, c. 22, sy. 4, 2019, ss. 819-26, doi:10.2339/politeknik.448529.
Vancouver
Tunç G, Yılmaz İ. Comparison of the Numerical Models for the Temperature Distributions of Non-Premixed Swirling Methane Flame. Politeknik Dergisi. 2019;22(4):819-26.