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Steam condenser optimization using Real-parameter Genetic Algorithm for Prototype Fast Breeder Reactor
► We model design optimization of a vital reactor component using Genetic Algorithm. ► Real-parameter Genetic Algorithm is used for steam condenser optimization study. ► Comparison analysis done with various Genetic Algorithm related mechanisms. ► The results obtained are validated with the referenc...
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Published in: | Nuclear engineering and design 2011-10, Vol.241 (10), p.4136-4142 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | ► We model design optimization of a vital reactor component using Genetic Algorithm. ► Real-parameter Genetic Algorithm is used for steam condenser optimization study. ► Comparison analysis done with various Genetic Algorithm related mechanisms. ► The results obtained are validated with the reference study results.
This work explores the use of Real-parameter Genetic Algorithm and analyses its performance in the steam condenser (or Circulating Water System) optimization study of a 500
MW fast breeder nuclear reactor. Choice of optimum design parameters for condenser for a power plant from among a large number of technically viable combination is a complex task. This is primarily due to the conflicting nature of the economic implications of the different system parameters for maximizing the capitalized profit. In order to find the optimum design parameters a Real-parameter Genetic Algorithm model is developed and applied. The results obtained are validated with the reference study results. |
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ISSN: | 0029-5493 1872-759X |
DOI: | 10.1016/j.nucengdes.2011.08.023 |