Finding optimal of the Egyptian second nuclear reactor core patterns using genetic algorithm

• Autorzy: El-Sayed Wahed M. , Ibrahim W. Z.
• Języki publikacji: EN

Abstrakty

EN

The second Egyptian research reactor ETRR-2 went critical on the 27th of November 1997. The National Center of Nuclear Safety and Radiation Control (NCNSRC) has the responsibility of the evaluation and the assessment of the safety of this reactor. Fuel management reloads for Egypt’s second research reactor have been carried out according to the fuel management scheme suggested by the reactor designer (INVAP). The start up core consists of three different fuel types, while the equilibrium core has only one fuel type called standard fuel. The fuel management scheme consists in considering the core as being partitioned into eight zones. Each zone will correspond to a chain of fuel movements. In each fuel cycle two of these chains will be involved, in which eight fuel elements will be moved, from them two spent fuel elements will be extracted and two fresh fuel elements will be inserted in the core. In this paper we solve a model as a one big nonlinear multi objective discrete optimization problem using genetic algorithm. Results are compared with INVAP values.

Słowa kluczowe

EN

nuclear reactor; reloading fuel management; genetic algorithm

PL

reloading fuel management

• Wydawca: Institute of Nuclear Chemistry and Technology
• Czasopismo: Nukleonika
• Rocznik: 2010
• Tom: Vol. 55, No. 3
• Strony: 331--338
• Opis fizyczny: BIbliogr. 14 poz., rys.

Twórcy

autor

El-Sayed Wahed M.

autor

Ibrahim W. Z.

• Faculty of Science, Mathematics Department, Zagazic University, Egypt,

Bibliografia

• 1. Deb K (1999) Multi-objective genetic algorithms: problem difficulties and construction of test problems. Evolutionary Computation 7:205–230
• 2. de Jong J (1995) Reloading pattern design for both refueled nuclear reactors. Technical Report IRI131-95-010, Delft University of Technology
• 3. Duderstadt JJ, Hamilton LJ (1976) Nuclear reactor analysis. John Wiley & Sons, Inc., New York
• 4. Fonesca C, Fleming P (1993) Genetic algorithm for multi objective optimization – for mulation, discussion, and generalization. In: Proc of the 5th Int Conf on Genetic Algorithms, 3–9 June 1993, San Mateo, pp 416–423
• 5. Habib AS, Ashry HAM, Dakhly AI, Shokr AM (2005) Improving reactor safety systems using component redundancy allocation technique. Nukleonika 50;3:105–112
• 6.Holland JH (1975) Adaptation in natural and artificial systems. MIT Press, Cambridge, Massachusetts
• 7.Hoogenboom JE, van Dam H (1994) Reactor physics. Lecture notes. Delft University of Technology
• 8.Imam M, Ayoub A, Awad M (2001) Fuel management calculations verifying reactor operation for Egypt second research reactor. Arab J Nucl Sci Appl 34:203–216
• 9. INVAP (1996) Report No. 0767-0740-3TANU-133-2A
• 10. INVAP-AEA (1999) Final safety analysis report of ETRR-2. Document #0767-5325-3IBLI-001-1A
• 11.Murato T (1997) Genetic algorithms for multi-objective optimization. OSKA Prefecture University
• 12.Quist A, Roos C, Terlaky T (1999) Finding optimal nuclear reactor core reload patterns using nonlinear optimization and search heuristics. Eotvos Lorand University, Otka
• 13. Shaaban N, Takahashi H (2006) Overview of genetic algorithm. J Nucl Sci Technol 43;7:816–818
• 14.Srinivas N, Deb K (2004) Multi objective optimization using non dominated sorting in genetic algorithms. J Evolutionary Computation 2;3:221–248