Exergoeconomic optimization of a thermal power plant using particle swarm optimization

Thermal Science

Volumn 17, Issue 2, 2013, Pages 509-524

  Groniewsky, Axel ^a  

^a BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

Author keywords

Exergoeconomic optimization; Exergy; Particle swarm optimization; Thermal power plant; Thermodynamic modelling software

Indexed keywords

COMPUTER SOFTWARE; ENERGY CONVERSION; LEARNING ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION; NUMERICAL METHODS; PARTICLE SWARM OPTIMIZATION (PSO);

EXERGOECONOMIC OPTIMIZATION; MODELING SOFTWARES; OPTIMIZATION PROBLEMS; PARTICLE SWARM; PARTICLE SWARM OPTIMIZATION; PLANT OPTIMIZATION; SWARM OPTIMIZATION; THERMAL-POWER PLANTS; THERMODYNAMIC MODELING SOFTWARE; THERMODYNAMIC MODELLING;

COST EFFECTIVENESS;

EID: 84881104669     PISSN: 03549836     EISSN: None     Source Type: Journal    
DOI: 10.2298/TSCI120625213G     Document Type: Article

References (32)

1. Gugeli, D., Electrification of Switzerland between 1880-1914 (in German), Chronos Velag, Berlin, 1996
2. Frangopoulos, C. A., Thermoeconomical Functional Analysis: A Method for Optimal Design or Improvement of Complex Thermal Systems, Ph. D. thesis, Georgia Institute of Technology, Atlanta, Geo., USA, 1983
3. Lotka, A. J.,Note on the Economic Conversion Factors ofEnergy, A. J. Proc.Nat.Ac. Sci., 7 (1921), 7, pp. 192-197
4. Keenan, J. H., A Steam Chart for Second-Law Analysis, A Study of Thermodynamic Availability in the Steam Power Plant, Mechanical Engineering, 54 (1932), pp. 195-204
5. Tribus, M., Thermodynamic and Economic Considerations in the Preparation of Fresh Water from Sea Water, Report No. 58/11 UCLA., Los Angeles., Cal., USA, 1957
6. Gaggioli, R. A., Efficiency and Gosting - Second Law Analysis of Processes, American Chemical Society, Washington, DC, USA, 1983, ISBN13:9780841208117
7. Tsatsaronis, G., Combination of Exergetic and Economic Analysis in Energy Conversion Processes, Proceedings, European Congress on Economic and Management of Energy in Industry, Albufeira-Algarve, Protugal, 1984, Vol. 1, pp. 151-157
8. El-Sayed, Y. M., Gaggioli, R. A., A Critical Review of Second Law Costing Methods, 1, Background and Algebraic Procedures. J. Energy Resour-ASME, 111 (1989), 1, pp. 1-7
9. Gaggioli, R. A., El-Sayed, Y. M., A Critical Review of Second Law Costing Methods, 2, Calculus Procedures, J. Energy Resour-ASME, 111 (1989), 1, pp. 8-15
10. Abusoglu, A., Kanoglu, M., Exergoeconomic Analysis and Optimization of Combined Heat and Power Production: A review, Renewable and Sustainable Energy Reviews, 13 (2009), 9, pp. 2295-2308
11. Bejan, A., et al., Thermal Design and Optimization, John Wiley and Sons Inc., New York, USA, 1996
12. Valdes, M., et al. Thermoeconomic Optimization of Combined Cycle Gas Turbine Power Plants Using Genetic Algorithms, Applied Thermal Engineering, 23, (2003) pp. 2169-2182
13. Manesh, K., Amidpour, M., Multi-Objective Thermoeconomic Optimization of Coupling MSF Desalination withPWRNuclear Power Plant through Evolutionary Algorithms, Desalination, 249 (2009), 3, pp. 1332-1344
14. Sahoo, P. K., Exergoeconomic Analysis and Optimization of a Cogeneration System Using Evolutionary Programming, Applied Thermal Engineering, 28 (2008), 13, pp. 1580-1588
15. Mofid, G. B., Hamed, G., Exergoeconomic Optimization of Gas Turbine Power Plants Operating Parameters Using Genetic Algorithms: A Case Study, Thermal Science, 15 (2011), 1, pp. 43-54
16. Eberhart, R., Kennedy, J., A New Optimizer Using Particle Swarm Theory, Micro Machine and Human Science, Proceedings, 6th International Symposium, Harisburg, Penn., USA, 1995, Vol. 1, pp. 39-43
17. Yoshida, H., et al. A Particle Swarm Optimization for Reactive Power and Voltage Control Considering Voltage Security Assessment, IEEE Transactions on Power Systems, 15 (2000), 4, pp. 1232-1239
18. Li, X., et al. Power Generation Loading Optimization Using a Multi-Objective Constraint-Handling Method Via pso Algorithm, Proceedings, 6th IEEE International Conference on Industrial Informatics, Daejeon, Korea, 2008, Vol. 1 pp. 1632-1637
19. Heo, J. S., Le, K. Y., Multiobjective Control of Power Plants Using Particle Swarm Optimization Techniques, IEEE Transaction on Energy Conversion, 21 (2006), 2, pp. 552-561
20. Yousefi, M., Darus, A. N., Optimal Design of Plate-Fin Heat Exchangers by a Hybrid Evolutionary Algorithm, International Communications in Heat and Mass Transfer, 39 (2012), 2, pp. 258-263
21. Shi, Y. H., Eberhart, R. C., A Modified Particle Swarm Optimizer, IEEE International Conference on Evolutionary Computation, Anchorage, Alas., USA, 1998, Vol. 1, pp. 318-321
22. Rao, S. S., EngineeringOptimization: Theory and Practice, John Wiley&Sons, Inc.New York,USA, 2009
23. Liang, J. J., et al. Comprehensive Learning Particle Swarm Optimizer for Global Optimization of Multimodal Functions, IEEE Transactions on Evolutionary computation, 10 (2006), 3, pp. 281-295
24. Koch, C., et al. Optimization of Combined Cycle Power Plants Using Evolutionary Algorithms, Chemical Engineering and Processing, 46 (2007), 11, pp. 1151-1159
25. Pezzinia, P., et al. Optimization Techniques to Improve Energy Efficiency in Power Systems, Renewable and Sustainable Energy Reviews, 15 (2011), 4, pp. 2028-2041
26. Huang, H., et al. Example-Based Learning Particle Swarm Optimization for Continuous Optimization, Information Sciences, 182 (2010), 1, pp. 125-138
27. Groniewsky, A., Bird Flocking and Power Plants, Proceedings, International Conference on Heat Engines and Environmental Protection, Balatonfured, Hungary, 2011, Vol. 1, pp. 147-151
28. Lazzaretto, A., Tsatsaronis, G., SPECO: A Systematic and General Methodology for Calculating Efficiencies and Costs in Thermal Systems, Energy, 31 (2006), 8-9, pp. 1257-1289
29. Valero, A., et al. CGAM Problem: Definition and Conventional Solution, Energy, 19 (1994), 3, pp. 279-286
30. Turton, R., et al. Analysis, Synthesis and Design of Chemical Processes, Pearson Education Inc., N. J., USA, 2012
31. Silveira, J. L., Tuna, C. E., Thermoeconomic Analysis Method for Optimization of Combined Heat and Power Systems Part I, Prog Energy Combust Sci., 29 (2003), 6, pp. 479-485
32. 2 Capture, Chemical Engineering Research and Design, 89 (2011), 9, pp. 1461-1469