Optimization of gas turbine combustor mixing for improved exit temperature profile

Heat Transfer Engineering

Volumn 31, Issue 5, 2010, Pages 402-418

  Motsamai, Oboetswe S ^a   Snyman, Jan A ^a   Meyer, Josua P ^a  

^a UNIVERSITY OF PRETORIA   (South Africa)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC COMBUSTOR; CONSTRAINED PROBLEM; CONSTRAINT FUNCTIONS; DESIGN OPTIMIZATION; EXIT TEMPERATURE; GAS TURBINE COMBUSTOR; GEOMETRIC PARAMETER; KEY PARAMETERS; MATHEMATICAL OPTIMIZATIONS; OPTIMIZATION DESIGN; PERFORMANCE PARAMETERS; POWER OUT PUT; TURBULENT DIFFUSION FLAME;

ATMOSPHERIC TURBULENCE; COMBUSTION; COMPUTATIONAL FLUID DYNAMICS; CONSTRAINED OPTIMIZATION; GAS TURBINES; TEMPERATURE; TEMPERATURE CONTROL; TURBOMACHINERY;

COMBUSTORS;

EID: 77649250516     PISSN: 01457632     EISSN: 15210537     Source Type: Journal    
DOI: 10.1080/01457630903375319     Document Type: Article

References (47)

1. Qingjun, Z., Huise,W., Xiaolu, Z., and Jianzhong, X., Numerical Investigation on the Influence of Hot Streak Temperature Ratio in a High-Pressure Stage of Vaneless Counter-Rotating Turbine, International Journal of Rotating Machinery, vol.2007, article ID 56097, 14 pages, doi:10.1155/2007/56097, 2007. (Pubitemid 46488570)
2. Barringer, M. D., Thole, K. A., and Polanka, M. D., Effects of Combustor Exit Profiles on High Pressure Turbine Vane Aerodynamics and Heat Transfer, Proc. ASME Turbo Expo Conf., Barcelona, paper GT2006-90277, 2006.
3. Mongia, H. C., A Synopsis of Gas Turbine Combustor Design Methodology Evolution of Last 25 Years, Proc. ISABE Conf., Bangalore, paper 2001-1086, 2001.
4. Lefebvre, A. H., Gas Turbine Combustion, 2nd ed., Taylor & Francis, Philadelphia, p. 340, 1998.
5. Lefebvre, A. H., and Norster, E. R., The Design of Tubular Gas Turbine Combustion Chambers for Optimum Mixing Performance, Proc. Institution of Mechanical Engineers, vol.183, pp. 150-155, 1969.
6. Holdeman, J. D., Liscinsky, D. S., Oechsle, V. L., Samuelsen, G. S., and Smith, C. E., Mixing of Multiple Jets With a Confined Subsonic Cross Flow: Part 1-Cylindrical Duct, Journal of Engineering for Gas Turbine and Power, vol.119, pp. 852-862, 1997.
7. Gulati, T., Tolpadi, A., and Vanduesen, G., Effect of Dillution Air on Scalar Flow Field at the Combustor Exit, Proc. ASME IGTI Conf., Arizona, paper 94-0221, 1994.
8. Tangarila, V., Tolpadi, A., Danis, A., and Mongia, H., Parametric Modeling Approach to Gas Turbine Combustor Design, Proc. ASME IGTI Conf., Munich, paper 2000-GT-0129, 2000.
9. Catalano, L. A., Dadone, A., Manodoro, D., and Saporano, A., Efficient Design Optimization of Duct-Burner for Combined-Cycle and Cogeneration Plants, Engineering Optimisation, vol.38, no.7, pp. 801-810, 2006.
10. Becz, S., and Cohen, J. M., Characterization of Mixing for a Jet in Cross-flow Using Proper Orthogonal Decomposition, Proc. ASME TURBO EXPO Conf., Reno-Tahoe, NV, 2005-0307, 2005.
11. Morris, R. M., Snyman, J. A., and Meyer, J. P., Jets in Crossflow Mixing Analysis Using Computational Fluid Dynamics and Mathematical Optimization, Journal of Propulsion and Power, vol.23, no.3, pp. 618-628, 2007.
12. Dispierre A., Stuttaford P. J., and Rubini, P. A., Preliminary Gas Turbine Combustor Design Using a Genetic Algorithm, Proc. ASME IGTI Conf., Amsterdam, paper 97-GT-72, 1997.
13. Rogero, J. M., A Genetic Algorithm Based Optimisation Tool For the Preliminary Design of Gas Turbine Combustors, Ph.D. Thesis, School of Mechanical Engineering, Cranfield University, UK, 2002.
14. Zomorodian, R., Khaledi, H., and Ghofrani, M., A New Approach to Optimisation of Cogeneration Systems Using Genetic Algorithm, Proc. ASME TURBO EXPO Conf., Barcelona, paper GT2006-90952, 2006.
15. Stuttaford, P. J., and Rubini, P. A., Preliminary Gas Turbine Combustor Design Using Network Approach, Proc. ASME IGTI Conf., Birmingham, UK, paper 96-GT-135, 1996.
16. Snyman, J. A., and Hay, A. M., The Dynamic-Q Optimization Method: An Alternative to SQP?, International Journal of Computers and Mathematics with Applications, vol.44, no.12, pp. 1589-1598, 2002.
17. Kingsley, T., Design Optimization of Containers for Sloshing and Impact,M.Sc. dissertation, University of Pretoria, Pretoria, South Africa, 2005.
18. Craig, K. J., De Kock, D. J., and Snyman J. A., Using CFD and Mathematical Optimization to Investigate Air Pollution Due to Stacks, International Journal of Numerical Mathematics in Engineering, vol.44, pp. 551-555, 1999.
19. De Kock, D. J., Craig, K. J., and Pretorius, C.A., Mathematical Maximisation of Minimum Residence Time for Two Strand Continuous Caster, Iron Marking and Steel Marking, vol.30, no.3, pp. 229-234, 2003.
20. Morris, R. M., An Experimental and Numerical Investigation of Gas Turbine Research Combustor, M.Sc. dissertation, University of Pretoria, Pretoria, South Africa, 2000.
21. Custer, J. R., and Rink, N. K., Influence of Design Concept and Liquid Properties of Fuel Injection Performance, Journal of Propulsion, vol.4, no.4, 1987.
22. Crowe, C. T., Sharma, M. P., and Stock, D. E., The Particle Source- In-Cell (PSI-CELL) Model for Gas-Droplet Flows, Journal of Fluids Engineering, vol.99, pp. 325-332, 1997.
23. Faith, G. M., Evaporation and Combustion of Sprays, Progress in Energy and Combustion Science, vol.9, pp. 1-76, 1983.
24. Sabnis, J. S., Gibeling, H. J., and McDonald, H. A., Combined Eulerian-Lagrangian Analysis for Computation of Two-Phase Flow, AIAA paper, 87-1419, 1987.
25. FLUENT, Software package, Ver.16, Fluent, Inc., Lebanon, NH, 2004.
26. Tap, F. A., Dean, A. J., and Van Buijttenen, J. P., Experimental and Numerical SprayCharacterization of a Gas Turbine Fuel Atomizer in Cross Flow, Proc. ASME TURBO EXPO Conf., Amsterdam, paper GT-2002-30100, 2002.
27. Dukowicz, J. K. A., Particle Fluid Numerical Model for Liquid Sprays, Journal of Computational Physics, vol.35, pp. 229-233, 1980.
28. O'Rouke, P. J., Collective Drop Effects in Vaporizing Liquid Sprays, Ph.D. thesis, Princeton University, and Los Alamos National Laboratory Report, LA-9069-T, US, 1981.
29. Rosin, P., and Rammler, R., The Laws Governing the Fineness of Powdered Coal, Journal of the Institute of Fuel, pp. 29-36, 1933.
30. Libby, P. A., and Williams, F. A., Turbulent Reacting Flow, Academic Press, New York, 1994.
31. Fluent News, The Berl Combustor Revisited, vol. xii, issue 1, 2003.
32. Sayre, A., Lallemant, N., Dugue, J., and Weber, R., Scaling Characteristics of Aerodynamics and Low-Nox Properties of Industrial Natural Gas Burners, The Scaling 400 Study, Part IV: The 300 kW Berl Test Results, IFRF Doc No F40/y/11, International Flame Research Foundation, The Netherlands, 1996.
33. Sivaramakrishna, G., Muthuveerappan, N., Shankar, V., and Sampathkumaran, T. K., CFD Modeling of the Aero Gas Turbine Combustor. ASME Turbo Expo, 2001-GT-0063, 2001.
34. Smiljanovski, V., and Brehm, N., CFD Liquid Spray Combustion Analysis of a Single Annular Gas Turbine Combustor, Proc. ASME IGTI Conf., Indianapolis, paper, 99-GT-300, 1999.
35. Fuligno, L., Micheli, D., and Poloni, C., An Integrated Design Approach for Micro Gas Turbine Combustors: Preliminary 0- D and Simplified CFD Based Optimization, ASME Turbo Expo, GT2006-90542, 2006.
36. Durbin, M. D., Vangsness, M. D., Balla, D. R., and Katta, V. R., Study of Flame Stability in a Step Swirl Combustor, Conf. ASME IGTI Conf., Hawaii, paper 95-GT-111, 1995.
37. Schmit, L. A., and Farshi, B., Some Approximation Concepts for Structural Synthesis, AIAA Journal, vol.12, no.5, pp. 692-699, 1974.
38. Haftka, R. T., and Gurdal, Z., Elements of StructuralOptimization, Kluwer Academic, Boston, p. 221, 1992.
39. Mongia, H. C.,Aero-ThermalDesign and Analysis of Gas Turbine Combustion Systems: Current Status and Future Direction, Conf. ASME IGTI Conf., Cleveland, paper 98-3982, 1998.
40. Rinz, A., and Mongia, H. C., Gas Turbine Combustor Design Methodology, Conf. ASME IGTI Conf., Dusseldorf, paper 86-131, 1986.
41. Baumal, A. E.,McPhee, J., and Calamai, P. H., Application of Genetic Algorithms of an Active Vehicle Suspension Design, Computer Methods in Applied Mechanics and Engineering, vol.163, pp. 87-94, 1998.
42. Eberhard, P., Schiehlen, W., and Bestle, D., Some Advantages of Stochastic Methods in Multi-criteria Optimization of Multibody Systems, Archive of Applied Mechanics, vol.69, pp. 543-554, 1998.
43. Els, P. S., and Uys, P. E., Investigation of the Applicability of the Dynamic-Q Optimisation Algorithm to Vehicle Suspension Design, Mathematical and Computer Modelling, vol.37, nos. 9- 10, pp. 1029-1046, 2003.
44. Visser, J. A., and De Kock, D. J., Optimization of Heat Sink Mass Using the Dynamic-Q Numerical Optimization Method, Communications in Numerical Methods in Engineering, vol.18, no.10, pp. 721-727, 2002.
45. Snyman, J. A., The LFOPC Leap-Frog Algorithm for Constrained Optimization, Computers and Mathematics with Applications, vol.40, pp. 1085-1096, 2000.
46. Toolkit for Design Optimization (TDO) software, version 1.2d, Department of Mechanical and Aeronautical Engineering, University of Pretoria, Praetoria, South Africa.
47. Vanoverberche, K. P., Van Den Bulck, E. V., and Tummers, M. J., Confined Annular Swirling Jet Combustion, Combustion Science and Technology, vol.175, pp. 545-578, 2003.