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Genetic algorithms applied to turbine extraction optimization of a pressurized-water reactor

Author

Listed:
  • Sacco, Wagner F.
  • Pereira, Cláudio M. N. A.
  • Soares, Pius P. M.
  • Schirru, Roberto

Abstract

In this work, we propose the use of a genetic algorithm (GA) for the determination of the optimal fraction of mass flow rate to be extracted from each stage of the turbines of a typical pressurized-water reactor (PWR) secondary side, in order to increase cycle efficiency. Here, we show some preliminary results obtained in a case study in which the PEPSE® system was used as simulation tool.

Suggested Citation

  • Sacco, Wagner F. & Pereira, Cláudio M. N. A. & Soares, Pius P. M. & Schirru, Roberto, 2002. "Genetic algorithms applied to turbine extraction optimization of a pressurized-water reactor," Applied Energy, Elsevier, vol. 73(3-4), pages 217-222, November.
    • Handle: RePEc:eee:appene:v:73:y:2002:i:3-4:p:217-222
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    Cited by:

    1. Mikulandrić, Robert & Lončar, Dražen & Cvetinović, Dejan & Spiridon, Gabriel, 2013. "Improvement of existing coal fired thermal power plants performance by control systems modifications," Energy, Elsevier, vol. 57(C), pages 55-65.
    2. Ozturk, Harun Kemal & Ceylan, Halim & Hepbasli, Arif & Utlu, Zafer, 2004. "Estimating petroleum exergy production and consumption using vehicle ownership and GDP based on genetic algorithm approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(3), pages 289-302, June.
    3. Suresh, M.V.J.J. & Reddy, K.S. & Kolar, Ajit Kumar, 2011. "ANN-GA based optimization of a high ash coal-fired supercritical power plant," Applied Energy, Elsevier, vol. 88(12), pages 4867-4873.
    4. Sharma, Naveen & Varun, & Siddhartha,, 2012. "Stochastic techniques used for optimization in solar systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1399-1411.

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