Optimizing combustion process by adaptive tuning technology based on Integrated Genetic Algorithm and Computational Fluid Dynamics

Energy Conversion and Management

Volumn 56, Issue , 2012, Pages 53-62

  Liu, X ^a   Bansal, R C ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Adaptive tuning technology; Computational Fluid Dynamics; Genetic Algorithm; Low carbon economy; Online optimization; Optimizing combustion process

Indexed keywords

ADAPTIVE TUNING; BOILER COMBUSTION; BOILER EFFICIENCY; COMBUSTION PRO-CESS; COMPLEX PROCESSES; COMPUTATIONAL FLUID; FIRE BALL; HEAT TRANSFER EFFICIENCY; HEAT TRANSFER PROCESS; INDUSTRY PRACTICES; LITERATURE REVIEWS; LOW CARBON ECONOMY; MODEL RESULTS; NEW STRATEGY; ONLINE OPTIMIZATION; OPTIMIZING COMBUSTION PROCESS; SIMULINK PROGRAM; SLAGGING AND FOULING; TECHNOLOGY-BASED; THERMAL DYNAMICS;

BOILERS; CARBON; CARBON DIOXIDE; COMBUSTION; COMPUTATIONAL EFFICIENCY; DYNAMICS; EFFICIENCY; FLUIDS; FOSSIL FUEL POWER PLANTS; FOSSIL FUELS; FUEL ECONOMY; GENETIC ALGORITHMS; HEAT TRANSFER; NEURAL NETWORKS; OPTIMIZATION; SLAGS; TRANSFER CASES (VEHICLES); TUNING;

COMPUTATIONAL FLUID DYNAMICS;

EID: 83455219672     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2011.11.013     Document Type: Article

References (34)

1. US Department of Energy. Power plant optimization demonstration projects, clean coal technology, department of energy, The United States of America, September 2007, p. 6-7 < http://www.netl.doe.gov/technologies/coalpower/cctc/ topicalreports/pdfs/topical25.pdf >.
2. H. Rusinowski, and W. Stanek Neural modeling of steam boilers Energy Convers Manage 48 2007 2802 2809
3. H. Zhou, L. Zheng, and K. Cen Computational intelligence approach for NOx emissions minimization in a coal-fired utility boiler Energy Convers Manage 51 2010 580 586
4. J.S. Chandok, I.N. Kar, and S. Tuli Estimation of furnace exit gas temperature (FEGT) using optimized radial basis and back-propagation neural networks Energy Convers Manage 49 2008 1989 1998
5. G. Prasad, E. Swidenbank, and B.W. Hogg A neural net model-based multivariable long-range predictive control strategy applied in thermal power plant control IEEE Trans Energy Convers 13 1998 176 182 (Pubitemid 128741428)
6. B. Zarenezhad, and A. Aminian Accurate prediction of the dew points of acidic combustion gases by using an artificial neural network model Energy Convers Manage 52 2011 911 916
7. K.Y. Lee, J.H. Sickel, J.A. Hoffman, and W. Jung Controller design for a large-scale ultra supercritical once-through boiler power plant IEEE Trans Energy Convers 25 2010 1063 1070
8. W. Yang, K.Y. Lee, S.T. Junker, and H.G. Ayagh Fuzzy fault diagnosis and accommodation system for hybrid fuel-cell/gas-turbine power plant IEEE Trans Energy Convers 25 2010 1187 1194
9. V. Petridis, E. Paterakis, and A. Kehagias A hybrid neural-genetic multi model parameter estimation algorithm IEEE Trans Neural Networks 9 1998 862 876 (Pubitemid 128743652)
10. C. Bao, N. Cai, and E. Croiset A multi-level simulation platform of natural gas internal reforming solid oxide fuel cell-gas turbine hybrid generation system - part II. Balancing units model library and system simulation J Power Sources 196 2011 8424 8434
11. N. Tsioumanis, J.G. Brammer, and J. Hubert Flow process in a radiant tube burner: combusting flow Energy Convers Manage 52 2011 2667 2675
12. C. Ghenai, and I. Janajreh CFD analysis of the effects of co-firing biomass with coal Energy Convers Manage 51 2010 1694 1701
13. N. Punbusayakul, J. Charoensuk, and B. Fungtammasan Modified sulfation model for simulation of pulverized coal combustion Energy Convers Manage 47 2006 253 272 (Pubitemid 41436314)
14. C. Ortiz, A.W. Skorek, M. Lavoie, and P. Bénard Parallel CFD analysis of conjugate heat transfer in a dry-type transformer IEEE Trans Ind Appl 45 2009 1530 1534
15. G. D'Rrrico Prediction of the combustion process and emission formation of a bi-fuel s.i. engine Energy Convers Manage 49 2008 3116 3128
16. S. Du, W. Chen, and J. Lucas Performances of pulverized coal injection in blowpipe and tuyere at various operational conditions Energy Convers Manage 48 2007 2069 2076 (Pubitemid 46660277)
17. Fewster M. Plant investigation of slagging at Callide Power Station. Practical workshop on impact of coal quality on power plant performance. Australia Combustion Technology Centre, ACIRL Ltd., Brisbane QLD, May 15-18, 1994. p. 1-9 [paper 12].
18. E. Bar-Ziv, Y. Berman, R. Saveliev Perelman, M. Korytnyi, E.B. Davidson, and B. Chudnovsky Fouling formation in 575 MW tangential-fired pulverized-coal boiler J Eng Gas Turb Power 132 2010 1 7
19. Bryers RW. Status and future of estimating slagging and fouling in steam generators. Practical workshop on impact of coal quality on power plant performance. Australia Combustion Technology Centre, ACIRL Ltd., Brisbane QLD, May 15-18, 1994, p. 4-5 [paper 11].
20. Lohner R. Applied CFD techniques - an introduction based on Finite Element Methods. Chichester: John Wiley & Sons Ltd.; 2001, p. 1-3.
21. B. Jayashankara, and V. Ganesan Effect of fuel injection timing and intake pressure on the performance of a DI diesel engine - a parametric study using CFD Energy Convers Manage 51 2010 1835 1848
22. Y. Yu, D. Sun, K. Wu, Y. Xu, H. Chen, and X. Zhang CFD study on mean flow engine for wind power exploitation Energy Convers Manage 52 2011 2355 2359
23. M.G. Camprubi, H. Jasak, and N. Fueyo CFD analysis of cooling effects in H2-fed solid oxide fuel cells J Power Sources 196 2011 7290 7301
24. G. Zhou, L. Chen, and J. Seaba CFD prediction of shunt currents present in alkaline fuel cells J Power Sources 196 2011 8180 8187
25. Date AW. Introduction to computational fluid dynamics. Cambridge: Cambridge University Press; 2005. p. 273-83.
26. Alawadhi EM. Finite element simulation using ANSYS. London: CRC Press Taylor & Francis Group; 2010. p. 183-8.
27. Dukelow SG. The control of boilers 2nd ed. The United States: The Instrumentation, Systems, and Automation Society; 1991.
28. G. Catlin, S.G. Advani, and K. Prasad A Optimization of polymer electrolyte membrane fuel cell flow channels using a genetic algorithm J Power Sources 196 2011 9407 9418
29. S. Bashash, S.J. Moura, J.C. Forman, and H.K. Fathy Plug-in hybrid electric vehicle charge pattern optimization for energy cost and battery longevity J Power Sources 196 2011 541 549
30. M. Pouraghaie, K. Atashkari, S.M. Besarati, and N. Narimanzadeh Thermodynamic performance optimization of a combined power/cooling cycle Energy Convers Manage 51 2010 204 211
31. Y. Li, J. Shen, and J. Lu Constrained model predictive control of a solid oxide fuel cell based on generic optimization J Power Sources 196 2011 5873 5880
32. E. Assareh, M.A. Behrang, M.R. Assari, and A. Ghanbarzadeh Application of PSO (particle swarm optimization) and GA (genetic algorithm) techniques on demand estimation of oil in Iran Energy 25 2010 5223 5229
33. T. Opher, and A. Ostfeld A coupled model tree (MT) genetic algorithm (GA) scheme for biofouling assessment in pipelines Water Res 45 2011 6277 6288
34. A. Egea, R. Marti, and J.R. Banga An evolutionary method for complex-process optimization Comput Operat Res 37 2010 316 319