Genetic algorithms applied to turbine extraction optimization of a pressurized-water reactor
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.
Year of publication: |
2002
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Authors: | Sacco, Wagner F. ; Pereira, Cláudio M. N. A. ; Soares, Pius P. M. ; Schirru, Roberto |
Published in: |
Applied Energy. - Elsevier, ISSN 0306-2619. - Vol. 73.2002, 3-4, p. 217-222
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Publisher: |
Elsevier |
Keywords: | Genetic algorithms Efficiency optimization Nuclear power plants |
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