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The Greedy Exhaustive Dual Binary Swap Methodology For Fuel Loading Optimization In Pwr Reactors Using The Poropy Reactor Optimization Tool
Download The Greedy Exhaustive Dual Binary Swap Methodology For Fuel Loading Optimization In Pwr Reactors Using The Poropy Reactor Optimization Tool full books in PDF, epub, and Kindle. Read online The Greedy Exhaustive Dual Binary Swap Methodology For Fuel Loading Optimization In Pwr Reactors Using The Poropy Reactor Optimization Tool ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis The Greedy Exhaustive Dual Binary Swap Methodology for Fuel Loading Optimization in PWR Reactors Using the Poropy Reactor Optimization Tool by : Carl Christopher Haugen
Download or read book The Greedy Exhaustive Dual Binary Swap Methodology for Fuel Loading Optimization in PWR Reactors Using the Poropy Reactor Optimization Tool written by Carl Christopher Haugen and published by . This book was released on 2014 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Investigation Into Greedy Exhaustive Dual Binary Swaps (GEDBS) for the Optimization of Core Configuration in Pressurized Water Reactors by : Jessica L. Hammond
Download or read book Investigation Into Greedy Exhaustive Dual Binary Swaps (GEDBS) for the Optimization of Core Configuration in Pressurized Water Reactors written by Jessica L. Hammond and published by . This book was released on 2012 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: In order to promote nuclear power production as an attractive option for power generation, measures must be taken to ensure that the process is both safe and economical. One aspect of the nuclear fuel cycle that contributes significantly towards such goals is the management of the fuel. Proper fuel management within a reactor core requires an understanding of the trade-offs between maximizing the reactivity, while simultaneously minimizing the power peaking. To accomplish this, various algorithmic methods can be used to help determine the optimal arrangement of fuel bundles in the core. By exploiting innovative computational tools for the analyses of reactor cores, more accurate and precise calculations can be made, and nuclear power generation can continue to be safe and economical. While traditionally, heuristic algorithms have been used for these large optimization problems, more direct algorithms may have the potential to provide the most favorable configuration for the reactor core. The use of Greedy Exhaustive Dual Binary Swaps (GEDBS) was implemented for the optimization of the quarter-core of a reactor containing 193 fuel assemblies. The primary objective was to investigate the quality of the output from the GEDBS algorithm and to compare it to those of other algorithmic methods. In this way, conclusions could be made as to whether or not the end results from this exhaustive algorithm justified the added runtime associated with their use, and ultimately, help to determine its viability for future research.
