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Investigation of the Fuel Arrangement Effect on the Thermal Feedback Coefficients in Transition Conditions of Bushehr Power Plant

Mousavi Nejad, Mohammad Reza | 2024

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 57053 (46)
  4. University: Sharif University of Technology
  5. Department: Energy Engineering
  6. Advisor(s): Ghaffari, Mohsen
  7. Abstract:
  8. Fuel management in the core of nuclear power reactors is one of the most basic fields in nuclear engineering. Fuel management in the core is the problem of optimizing the design of the loading pattern because one of the ways to increase the economic performance and safety factor of nuclear power plants is to determine a suitable strategy for fueling in the core, in fact a reasonable loading pattern for competitive The development of nuclear power plants is very important. The optimal loading pattern can be defined as the configuration that has the maximum cycle length for a given fuel inventory or uses the minimum amount of fissile material for a given cycle length. From the past until now, the main goals in optimizing the arrangement of fuel assembles have been simply limiting the power peaking factor and maximizing the effective multiplication factor of the core. But in this project, in addition to that, two parameters of thermal feedback coefficients of fuel and coolant, which are considered as safety parameters, are considered as limitations in the problem. Today, meta-heuristic algorithms inspired by the behavior of animal societies have opened a new era in the field of optimization. In this project, the discrete particle swarm algorithm is used for fuel management in the core of Bushehr nuclear power plant reactor. This technique inspired by the behavior of a group of birds or fish in finding food and human social interactions, provides a simple social model for the problems. The particle swarm algorithm has been implemented in Python programming language, and TORANJ software and PARCS core calculation code have been used to calculate the effective multiplication factor of the core, power peaking factor and fuel and coolant thermal feedback coefficients. There are different methods for solving multi-objective problems. In this project, a penalty function is used in such a way that the answers that satisfy the constraints of the problem are selected from the beginning. The ability to convert a constrained problem into an unconstrained problem. Finally, the results show that the effective multiplication factor of the core has decreased by -0.83% and the power peaking coefficient has decreased by -1.42%. This is while the thermal feedback coefficients of fuel and coolant have not weakened, but have become stronger by -0.36%, -2.02%, respectively, relative to their values in the reference arrangement
  9. Keywords:
  10. Bushehr Nuclear Power Plant ; Particles Swarm Optimization (PSO) ; Fuel Management System ; Discrete Particle Swarm Optimization (PSO)Algorithm ; Transient Condition ; Thermal Feedback Coefficients ; Reactor Cores

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