Implementation of the batch composition preserving genetic algorithm for burn up extension of a typical PWR
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- 作者：Muhammad Ilyasa ; m.ilyas@pieas.edu.pk" class="auth_mail" title="E-mail the corresponding author ; Abdul Rauffa ; Muhammad Gulfam Ziaa ; Siraj-ul-Islam Ahmadb ; Masroor Ahmada
- 关键词：GA ; PWR ; Burnup ; Power peaking factor ; k-eff ; Optimization ; Loading pattern
- 刊名：Progress in Nuclear Energy
- 出版年：2016
- 出版时间：April 2016
- 年：2016
- 卷：88
- 期：Complete
- 页码：257-263
- 全文大小：2084 K
文摘
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Multi-objective genetic algorithm has been implemented for optimization of first core of CHASNUPP-1.
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The objectives of power peaking factor minimization and maximization of multiplication factor have been incorporated.
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The study shows that burn up of the optimized core has been extended by 48 effective full power days (EFPD's).