Influence of Burner Head Design on Its Thermal and Environmental Characteristics

Document Type : Research Article

Authors

Faculty of Mechanical Engineering, University of Guilan, Rasht, Iran

Abstract

In this paper, for the first time, four thermal and environmental objective functions are simultaneously taken into account in the process of the optimal design of a natural gas diffusion burner. The burner thermal efficiency and the emissions of carbon monoxide, nitrogen oxide, and unburned methane constitute the objective functions of the present study. In the first step, the burner is numerically simulated, and the simulation results are verified through being compared with the available experimental data. Next, the simulation is carried out for the different set values of design variables (the dimensions of the air and fuel inlets, and the overall equivalence ratio) and the optimum design is chosen by using “Pareto front concept”. The paper will show that as a result of the mentioned procedure, the burner thermal efficiency is increased by 29.4%, and the emissions of carbon monoxide, nitrogen oxide, and unburned methane are decreased by 81.2%, 98.6%, and 83.9%, respectively. The manuscript explains the reasoning for the superiority of the modified design over the reference one in detail.

Keywords

References

[1] International Energy Agency (IEA), Key World Energy Statistics, OECD, Paris, 2016.
[2] J. Mahmoudimehr, L. Loghmani, Optimal management of a solar power plant equipped with a thermal energy storage system by using Dynamic Programming method, Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 230 (2) (2016) 219-233.
[3] N. Papanikolaou, I. Wierzba, The effects of burner geometry and fuel composition on the stability of a jet diffusion flame, Journal of Energy Resources Technology, 119 (4) (1997) 265-270.
[4] A. Sobiesiak, J.C. Wenzell, Characteristics and structure of inverse flames of natural gas, Proceedings of the Combustion Institute, 30 (1) (2005) 743-749.
[5] L.K. Sze, C.S. Cheung, C.W. Leung, Appearance, temperature and NOx emission of two inverse diffusion flames with different port design, Combustion and Flame, 144 (1) (2006) 237–248.
[6] P. Hariharan, C. Periasamy, S.R. Gollahalli, Effect of elliptic burner geometry and air equivalence ratio on the nitric oxide emissions from turbulent hydrogen flames, International Journal of Hydrogen Energy, 32 (8) (2007) 1095–1102.
[7] U. Makmool, S. Jugjai, S. Tia, P. Vallikul, B. Fungtammasan, Performance and analysis by particle image velocimetry (PIV) of cooker-top burners in Thailand, Energy, 32 (10) (2007) 1986–1995.
[8] F. Liu, G.J. Smallwood, Control of the structure and sooting characteristics of a co-flow laminar methane/air diffusion flame using a central air jet: an experimental and numerical study, Proceedings of the Combustion Institute, 33 (1) (2011) 1063–1070.
[9] L.L. Dong, C.S. Cheung, C.W. Leung, Combustion optimization of a port-array inverse diffusion flame jet, Energy, 36 (5) (2011) 2834-2846.
[10] L.L. Dong, C.S. Cheung, C.W. Leung, Heat transfer optimization of an impinging port-array inverse diffusion flame jet, Energy, 49 (1) (2013) 182-192.
[11] L.L. Dong, C.S. Cheung, C.W. Leung, Characterization of impingement region from an impinging inverse diffusion flame jet, International Journal of Heat and Mass Transfer, 56 (1-2) (2013) 360–369.
[12] H.S. Zhen, Y.S. Choy, C.W. Leung, C.S. Cheung, Effects of nozzle length on flame and emission behaviors of multi-fuel-jet inverse diffusion flame burner, Applied Energy, 88 (9) (2011) 2917–2924.
[13] O.A. Kashkousha, M.M. Kamal, A.M. Abdulaziz, M.A. Nosier, Concentric elliptical jet diffusion flames with co- and cross-flows, Experimental Thermal and Fluid Science, 41 (2012) 177–187.
[14] S. Mahesh, D.P. Mishra, Effects of recessed air jet on turbulent compressed natural gas inverse diffusion flame shape and luminosity, Combustion, Explosion and Shock Waves, 48 (6) (2012) 683–688.
[15] S. Mahesh, D.P. Mishra, Flame stability limits and near blowout characteristics of CNG inverse jet flame, Fuel, 153 (2015) 267–275.
[16] S. Lamige, J. Min, C. Galizzi, F. André, F. Baillot, D. Escudié, K.M. Lyons, On preheating and dilution effects in non-premixed jet flame stabilization, Combustion and Flame, 160 (6) (2013) 1102–1111.
[17] H.S. Zhen, C.W. Leung, T.T. Wong, Improvement of domestic cooking flames by utilizing swirling flows, Fuel, 119 (1) (2014) 153–156.
[18] M. Saediamiri, M. Birouk, J.A. Kozinski, On the stability of a turbulent non-premixed biogas flame: Effect of low swirl strength, Combustion and Flame, 161 (5) (2014) 1326–1336.
[19] M. Akbarzadeh, M. Birouk, Liftoff of a Co-Flowing Non-Premixed Turbulent Methane Flame: Effect of the Fuel Nozzle Orifice Geometry, Flow, Turbulence and Combustion, 92 (4) (2014) 903–929.
[20] M. Saediamiri, M. Birouk, J.A. Kozinski, Enhancing the Stability Limits of Biogas Non-Premixed Flame, Combustion Science and Technology, 188 (11-12) (2016) 2077-2104.
[21] P. Kuntikana, S.V. Prabhu, Thermal investigations on methane-air premixed flame jets of multi-port burners, Energy, 123 (2017) 218-228.
[22] I. Bonefacic, I. Wolf, P. Blecich, Improvement of fuel oil spray combustion inside a 7 MW industrial furnace: A numerical study, Applied Thermal Engineering,110 (2017) 795–804.
[23] C.K. Law, Combustion Physics, Cambridge University Press, New York, 2006.
[24] N. Peters, Turbulent Combustion, Cambridge University Press, Cambridge, 2000.
[25] B.F. Magnussen, B.H. Hjertager, On mathematical modelling of turbulent combustion with special emphasis on soot formation and combustion, Proceedings of the 16th symposium (international) on combustion, (1976) 719–729.
[26] H.C. Hottel, A.F. Sarofim, Radiative Transfer, McGraw-Hill, New York, 1967.
[27] R. Siegel, J.R. Howell, Thermal Radiation Heat Transfer, Taylor and Francis, Washington, 1992.
[28] J. Warnatz, U. Mass, R.W. Dibble, Combustion, Springer, Berlin, 2006.
[29] S.V. Patankar, Numerical Heat Transfer and Fluid Flow, McGraw-Hill, New York, 1980.
[30] D. Garréton, O. Simonin, Aerodynamics of steady state combustion chambers and furnaces, ASCF. Ercoftac Cfd Workshop, Org: EDF Chatou, France, 1994.
[31] F. Hajabdollahi, Z. Hajabdollahi, H. Hajabdollahi, Soft computing based multi-objective optimization of steam cycle power plant using NSGA-II and ANN, Applied Soft Computing 12 (11) (2012) 3648-3655.
[32] K. Deb, Multi objective optimization using evolutionary algorithms, Wiley, New York, 2001.
[33] C.A. Coello, G.B. Lamont, D.A.Van Veldhuizen, Evolutionary algorithms for solving multi-objective problems, Springer, New York, 2002.
 
AUT Journal of Mechanical Engineering
Volume 2, Issue 1
June 2018
Pages 27-38

Files

Share

How to cite

Statistics