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The basic concept in applying numerical optimization methods for power plants optimization problems is to combine a State of the art search algorithm with a powerful, power plant simulation program to optimize the energy conversion system from both economic and thermodynamic viewpoints. Improving the energy conversion system by optimizing the design and operation and studying interactions among plant components requires the investigation of a large number of possible design and operational alternatives. State of the art search algorithms can assist in the development of cost-effective power plant concepts. The aim of this paper is to present how nature-inspired swarm intelligence (especially PSO) can be applied in the field of power plant optimization and how to find solutions for the problems arising and also to apply exergoeconomic optimization technics for thermal power plants.
PAPER REVISED: 2012-09-22
PAPER ACCEPTED: 2012-11-24
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THERMAL SCIENCE YEAR 2013, VOLUME 17, ISSUE Issue 2, PAGES [509 - 524]
  1. Tribus, M., Thermodynamic and Economic Considerations in the Preparation of Fresh Water from Sea Water, UCLA., Los Angeles, USA, 1957.
  2. Gaggioli, R.A., Efficiency and Costing - Second Law Analysis of Processes, American Chemical Society (1983), pp 3-50
  3. Tsatsaronis, G., Combination of exergetic and economic analysis in energy conversion processes, Proceedings, Proceedings of the European Congress on Economic and Management of Energy in Industry, Albufeira-Algarve, Protugal, 1984, Vol. 1, pp. 151-157
  4. 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), pp. 1-7
  5. Gaggioli, R.A., El-Sayed, Y.M., A critical review of second law costing methods. 2. Calculus procedures. J Energy Resour-ASME, 111, (1989), pp. 8-15
  6. 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
  7. Bejan, A., Tsatsaronis, G., Moran, M., Thermal design and optimization, John Wiley and Sons Inc., New York, USA, 1996.
  8. Valdes, M., Duran, M.D., Rovira A., Thermoeconomic optimization of combined cycle gas turbine power plants using genetic algorithms, Applied Thermal Engineering, 23, (2003) pp. 2169-2182
  9. Sahoo, P.K., Exergoeconomic analysis and optimization of a cogeneration system using evolutionary programming, Applied Thermal Engineering, 28 (2008), 13, pp. 1580-1588
  10. 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
  11. Eberhart, R., Kennedy, J., A New Optimizer Using Particle Swarm Theory, Micro Machine and Human Science, Proceedings of the Sixth International Symposium, Pennsylvania, USA, 1995, Vol. 1, pp. 39 - 43
  12. Yoshida, H., Kawata, K., Fukuyama, Y., Takayama, S., Nakanishi, Y., A particle swarm optimization for reactive power and voltage control considering voltage security assessment, IEEE Transactions on Power Systems, 15 (2000), pp. 1232-1239
  13. Li, X., Yu, X., Li, L.D., 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
  14. Heo, J.S., Lee, K.Y., Garduno-Ramirez R., Multiobjective control of power plants using particle swarm optimization techniques. IEEE Transaction on Energy Conversion, 21 (2006), pp. 552-561
  15. 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), pp. 258-263
  16. Shi, Y.H., Eberhart, R.C., A Modified Particle Swarm Optimizer, IEEE International Conference on Evolutionary Computation, Anchorage, Alaska, 1998, Vol. 1, pp. 318-321
  17. Rao, S.S., Engineering Optimization: Theory and Practice, John Wiley & Sons, Inc. New York, USA, 2009
  18. Liang, J.J., Qin, A.K., Suganthan, P.N., Baskar, S., Comprehensive Learning Particle Swarm Optimizer for Global Optimization of Multimodal Functions, IEEE Transactions on Evolutionary computation, 10 (2006), 3, pp. 281-295
  19. Koch, C., Cziesla, F., Tsatsaronis, G., Optimization of combined cycle power plants using evolutionary algorithms, Chemical Engineering and Processing, 46 (2007), pp. 1151-1159
  20. Pezzinia, P., Gomis-Bellmunta, O., Sudrià-Andreua, A., Optimization techniques to improve energy efficiency in power systems, Renewable and Sustainable Energy Reviews, 15 (2011), 4, pp. 2028-2041
  21. Huang, H., Qin, H., Hao, Z., Lim, A. Example-based learning particle swarm optimization for continuous optimization, Information Sciences, 182, (2010), 1, pp. 125-138, doi:10.1016/j.ins.2010.10.018.
  22. Groniewsky, A., Bird flocking and power plants, International Conference on Heat Engines and Environmental Protection, Balatonfüred, Hungary, 2011, Vol. 1, pp. 147-151
  23. Lazzaretto, A., Tsatsaronis, G., SPECO: A systematic and general methodology for calculating efficiencies and costs in thermal systems, Energy, 31 (2006), pp. 1257-1289
  24. Valero, A, Lozano, M.A., Serra L., Tsatsaronis, G., Pisa. J., Frangopoulos, C., CGAM problem: definition and conventional solution, Energy, 19 (1994), pp. 279-286
  25. Turton, R., Bailie, R.C., Whiting, W.B., Shaeiwitz, J.A., Analysis, Synthesis and Design of Chemical Processes, Pearson Education Inc., New Jersey, USA, 2012
  26. 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), pp. 479-485
  27. Petrakopouloua, F., Tsatsaronis, G., Boyanoa, A., Morosukb, T., Exergoeconomic and exergoenvironmental evaluation of power plants including CO2 capture, Chemical engineering research and design, 89 (2011), pp. 1461-1469

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