Author: E. de KlerkPublisher:
ISBN:
Category :
Languages : en
Pages : 26
Book Description
Optimization of Nuclear Reactor Reloading Patterns
Author: E. de KlerkReload Pattern Optimization by Application of Heuristic Search and Perturbation Theoretical Methods
Author: René van GeemertPublisher:
ISBN: 9789040718670
Category : Science
Languages : en
Pages : 123
Book Description
Finding Optimal Nuclear Reactor Core Reload Patterns Using Nonlinear Optimization and Search Heuristics
Author: A. J. QuistApplication of Mathematical Optimization Techniques to Nuclear Reactor Reload Pattern Design
Author: Adriaan Jacobus QuistPublisher:
ISBN: 9789090137704
Category :
Languages : en
Pages : 211
Book Description
Finding Optimal Nuclear Reactor Core Reload Patterns Using Nonlinear Optimization and Search Heuritics
Author: A. J. QuistOptimization Algorithms in Boiling Water Reactor Lattice Design
Author: Chad D. Burns (III.)Publisher:
ISBN:
Category :
Languages : en
Pages : 40
Book Description
Given the highly complex nature of neutronics and reactor physics, efficient methods of optimizing are necessary to effectively design the core reloading pattern and operate a nuclear reactor. The current popular methods for optimization are Simulated Annealing and the Genetic Algorithm; this paper explores the potential for a new method called Greedy Exhaustive Dual Binary Swaps (GEDBS). The mandatory trade-off in computation is accuracy for speed; GEDBS is an exhaustive search and tends toward longer runtimes. While GEDBS performed acceptably for the criterion administered in this paper (local peaking and k, on a Boiling Water Reactor (BWR) fuel lattice) the exhaustive nature of GEDBS will inevitably lead to combinatorial explosion for the addition of the potential dozens of factors that commercial application mandates. This issue may be resolved with the addition of metaheuristics to reduce the search space for GEDBS, or by an increasing computation.
A Core Reload Pattern and Composition Optimization Methodology for Pressurized Water Reactors
Author: Ildo Luis SauerPublisher:
ISBN:
Category : Pressurized water reactors
Languages : en
Pages : 283
Book Description
The primary objective of this research was the development of a comprehensive, rapid and conceptually simple methodology for PWR core reload pattern and fuel composition optimization, capable of systematic incorporation of constraints, in which cycle burnup is defined as the optimality criterion. A coarse mesh nodal method for PWR core analysis was formulated by coupling the one-and-one-half-group diffusion theory model for spatial power calculations with the linear reactivity versus burnup model (LRM) for depletion calculations. The accuracy and suitability of this model was determined through comparisons of its results with those of state-of-the-art core analysis methods. The simplicity of the LRM-based core model allowed the direct analytical computation of the derivatives necessary in the steepest gradient type optimization methods applied in the present work, and its versatility permitted use of the analytical and computational methods for a variety of applications, ranging from core reload pattern searches to burnable poison (BP) and composition optimization. Algorithms for identification of unconstrained maximum-burnup core reload patterns and for optimal BP allocation were successfully implemented and tested, and the basis for systematic incorporation of constraints on power peaking was developed. The potential application of the methodology to fuel composition optimization was also examined. Most of the methodological developments have been embodied in the LRM-NODAL code which was programmed in the course of this research. From the numerical and analytical results it was found that the optimal core configurations are arranged such as to produce power histories and profiles in which the most reactive assemblies are at their highest allowable power at EOC (thus maximizing their importance) and where the converse applies to the least reactive; these preferred profiles also produce relatively higher leakage at EOC, evolving to the lowest possible leakage at EOC, but always consistent with the maximization of the core reactivity importance.
Nuclear Reactor Optimization
Author: P. H. MargenPublisher:
ISBN:
Category : Nuclear power plants
Languages : en
Pages : 106
Book Description
A Hybrid Method for In-core Optimization of Pressurized Water Reactor Reload Core Design
Author: Publisher:
ISBN:
Category :
Languages : en
Pages : 209
Book Description
The objective of this research is the development of an accurate, practical, and robust method for optimization of the design of loading patterns for pressurized water reactors, a nonlinear, non-convex, integer optimization problem. The many logical constraints which may be applied during the design process are modeled herein by a network construction upon which performance objectives and safety constraints from reactor physics calculations are optimized. This thesis presents the synthesis of the strengths of previous algorithms developed for reload design optimization and extension of robustness through development of a hybrid liberated search algorithm. Development of three independent methods for reload design optimization is presented: random direct search for local improvement, liberated search by simulated annealing, and deterministic search for local improvement via successive linear assignment by branch and bound. Comparative application of the methods to a variety of problems is discussed, including an exhaustive enumeration benchmark created to allow comparison of search results to a known global optimum for a large scale problem. While direct search and determinism are shown to be capable of finding improvement, only the liberation of simulated annealing is found to perform robustly in the non-convex design spaces. The hybrid method SHAMAN is presented. The algorithm applies: determinism to shuffle an initial solution for satisfaction of heuristics and symmetry; liberated search through simulated annealing with a bounds cooling constraint treatment; and search bias through relational heuristics for the application of engineering judgment. The accuracy, practicality, and robustness of the SHAMAN algorithm is demonstrated through application to a variety of reload loading pattern optimization problems.
The Greedy Exhaustive Dual Binary Swap Methodology for Fuel Loading Optimization in PWR Reactors Using the Poropy Reactor Optimization Tool
Author: Carl Christopher HaugenPublisher:
ISBN:
Category :
Languages : en
Pages : 153
Book Description
This thesis presents the development and analysis of a deterministic optimization scheme termed Greedy Exhaustive Dual Binary Swap for the optimization of nuclear reactor core loading patterns. The goal of this optimization scheme is to emulate the approach taken by an engineer when manually optimizing a reactor core loading pattern. This is to determine if this approach is able to locate high quality patterns that, due to their location in the core loading solution space, are consistently missed by standard stochastic optimization methods such as those in the genetic algorithm class, or those in the simulated annealing class. This optimization study is carried out using the poropy tool to handle the reactor physics model. Initially, optimizations are carried out using beginning of cycle eigenvalue as a surrogate for core excess reactivity and thus cycle length. The deterministic Dual Binary Swap is found to locate acceptable patterns less reliably than stochastic methods, but those that are located are of higher quality. Optimizations of the full depletion problem result in the deterministic Dual Binary Swap optimizer locating patterns that are of higher quality than those found by the stochastic Simulated Annealing, with comparable frequency. The Dual Binary Swap optimizer is, however, found to be very dependent on the starting core configuration, and can not reliably find a high quality pattern from any given starting configuration.