Implementation of the batch composition preserving genetic algorithm for burn up extension of a typical PWR |
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| Affiliation: | 1. Department of Nuclear Engineering, Pakistan Institute of Engineering and Applied Sciences (PIEAS), P. O. Nilore, 45650, Islamabad, Pakistan;2. Department of Physics, COMSTATS Institute of Information Technology, Islamabad, Pakistan;1. Department of Nuclear Engineering, College of Engineering, King Abdul Aziz University (KAU), P. O. Box 80204, Jeddah 21589, Saudi Arabia;2. Department of Physics, COMSATS Institute of Information Technology (CIIT), Chack Shahzad, Park Road, 44000, Islamabad, Pakistan;1. Nuclear Research Centre of Birine BP 180 Ain Oussera 17200, Djelfa, Algeria;2. Commissariat of Atomic Energy, 02 bd Frantz Fanon Street, BP 399, 1600, Algiers, Algeria;3. University of Science and Technology Houari Boumediene, Bab Ezzouar, 16111, Algiers, Algeria;1. Division of Applied Nuclear Physics, Department of Physics and Astronomy, Uppsala University, Uppsala, Sweden;2. Nuclear data Section, International Atomic Energy Commission (IAEA), Vienna, Austria;3. Paul Scherrer Institut, 5232 Villigen, Switzerland |
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| Abstract: | Nuclear reactor core is the heart of a power plant producing power from fissile fuel fission. Refueling is needed periodically when it becomes impossible to maintain the reactor operating at nominal power as a result of fuel burn up. In PWR core reloading, attention is drawn to the configuration that meets safety requirements and minimizes energy cost. This paper focuses on finding the best core configuration for a typical two-loop, 300 MWe PWR satisfying the objectives of power peaking factor minimization to enhance safety of the reactor and maximization of multiplication factor to increase fuel burn up. Multi-objective optimization of the first core has been accomplished by implementing the batch composition preserving genetic algorithms (GA). Neutronic calculations and burn up analysis of the optimized loading patterns have been carried out using available reactor physics codes. It is found from this study that burn up of the optimized core has been extended by 48 effective full power days (EFPD's) while satisfying safety criterion by keeping power peaking factor below the reference value. |
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| Keywords: | GA PWR Burnup Power peaking factor k-eff Optimization Loading pattern |
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