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Author : J. P. Argaud
Publisher :
ISBN 13 :
Total Pages : 8 pages
Book Rating : 4.:/5 (258 download)
Download or read book Loading Pattern Optimization Method for Nuclear Fuel Management written by J. P. Argaud and published by . This book was released on 1997 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Richard Bartholomew Stout
Publisher :
ISBN 13 :
Total Pages : 316 pages
Book Rating : 4.:/5 (142 download)
Download or read book Optimization of In-core Nuclear Fuel Management in a Pressurized Water Reactor written by Richard Bartholomew Stout and published by . This book was released on 1972 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuel loading patterns which have a minimum power peak are economically desirable to allow power reactors to operate at the highest possible power density and to minimize the possibility of fuel failure. A computer code called SHUFLE was developed for pressurized water reactors which shuffles the fuel in search of the lowest possible power peaking factor. An iterative approach is used in this search routine. A radial power distribution is calculated from which the program logic Selects a movement of fuel elements in an attempt to lower the radial power peak. Another power calculation is made and the process repeated until a predetermined convergence is reached. The logic by which the code decides the fuel movement is presented, along with the criteria for accepting or rejecting the move after a power calculation of the new loading pattern is made. A 1.5 group course mesh diffusion theory method was used to obtain the power distribution for each SHUFLE iteration. Convergence to a final loading pattern varies from about 10 to 40 shuffling iterations depending on the initial loading presented to the code. Since the typical computer running time for a one-quarter core power distribution with this 1.5 group method is only one to a few seconds, depending on the loading, convergence to a good loading pattern takes on the order of one minute on a Univac 1108. The low computer cost plus ease of operation should make this code of considerable use in determining loading patterns with minimum power peaking for any given set of fuel elements. The program also has burnup capability which can be used to check power peaking throughout core life. A parametric analysis study of fuel cycle costs for a PWR is also presented. Cost parameters analyzed were variation in the cost of yellow cake, enrichment, money, fabrication, and reprocessing plus changes in burnup, load factors, power densities, and the effect of forced early discharge. Figures are presented to indicate total fuel costs as a function of burnup for these cost parameters. Linear relationships for minimum cost and optimum burnup are presented for each parameter.
Author : P. Silvennoinen
Publisher : Elsevier
ISBN 13 : 1483145549
Total Pages : 139 pages
Book Rating : 4.4/5 (831 download)
Download or read book Nuclear Fuel Cycle Optimization written by P. Silvennoinen and published by Elsevier. This book was released on 2013-10-22 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nuclear Fuel Cycle Optimization: Methods and Modelling Techniques discusses applicable methods for analysis of fuel cycle logistics and optimization and evaluation of the economics of various reactor strategies. The opening chapter covers the nuclear fuel cycle, while the next chapter tackles uranium supply and demand. Chapter 3 discusses basic model of the light water reactor (LWR). The fourth chapter talks about the resolution of uncertainties, and the fifth chapter discusses the assessment of proliferation risks. Chapter 6 covers multigoal optimization, while Chapter 7 deals with the generalized fuel cycle models. The eighth chapter covers reactor strategy calculations, whereas the last chapter discusses interface with energy strategy. The book will appeal to students of energy economics or of nuclear engineering.
Author : Gustavo Mendes Platt
Publisher :
ISBN 13 : 9783319964348
Total Pages : pages
Book Rating : 4.9/5 (643 download)
Download or read book Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering written by Gustavo Mendes Platt and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on metaheuristic methods and its applications to real-world problems in Engineering. The first part describes some key metaheuristic methods, such as Bat Algorithms, Particle Swarm Optimization, Differential Evolution, and Particle Collision Algorithms. Improved versions of these methods and strategies for parameter tuning are also presented, both of which are essential for the practical use of these important computational tools. The second part then applies metaheuristics to problems, mainly in Civil, Mechanical, Chemical, Electrical, and Nuclear Engineering. Other methods, such as the Flower Pollination Algorithm, Symbiotic Organisms Search, Cross-Entropy Algorithm, Artificial Bee Colonies, Population-Based Incremental Learning, Cuckoo Search, and Genetic Algorithms, are also presented. The book is rounded out by recently developed strategies, or hybrid improved versions of existing methods, such as the Lightning Optimization Algorithm, Differential Evolution with Particle Collisions, and Ant Colony Optimization with Dispersion - state-of-the-art approaches for the application of computational intelligence to engineering problems. The wide variety of methods and applications, as well as the original results to problems of practical engineering interest, represent the primary differentiation and distinctive quality of this book. Furthermore, it gathers contributions by authors from seven countries - some of which are the original proponents of the methods presented - and 21 research centers around the globe.
Author :
Publisher :
ISBN 13 :
Total Pages : 580 pages
Book Rating : 4.3/5 (91 download)
Download or read book Advances in Nuclear Fuel Management II written by and published by . This book was released on 1997 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Carl Christopher Haugen
Publisher :
ISBN 13 :
Total Pages : 153 pages
Book Rating : 4.:/5 (93 download)
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.
Author : M. J. Driscoll
Publisher :
ISBN 13 :
Total Pages : 264 pages
Book Rating : 4.3/5 (91 download)
Download or read book The Linear Reactivity Model for Nuclear Fuel Management written by M. J. Driscoll and published by . This book was released on 1990 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Linear Reactivity Model (LRM) is a simple nuclear fuel management model that comes with a diskette containing three programs. Consisting of a collection of algorithms and methods, the LRM describes complex core behavior, but it is simpler than the complex programs developed for design calculations. This makes the LRM particularly useful as a teaching tool to explain the basic principles of nuclear fuel management. The LRM mainly focuses on the pressurized water reactor, but it is also directly applicable to the boiling water reactor. Application of the LRM to the CANDU reactor is also covered.
Author : Jean-Philippe Argaud
Publisher :
ISBN 13 :
Total Pages : 18 pages
Book Rating : 4.:/5 (317 download)
Download or read book Discrete Optimization Method for Nuclear Fuel Management written by Jean-Philippe Argaud and published by . This book was released on 1993 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Gustavo Mendes Platt
Publisher : Springer
ISBN 13 : 331996433X
Total Pages : 284 pages
Book Rating : 4.3/5 (199 download)
Download or read book Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering written by Gustavo Mendes Platt and published by Springer. This book was released on 2018-09-25 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on metaheuristic methods and its applications to real-world problems in Engineering. The first part describes some key metaheuristic methods, such as Bat Algorithms, Particle Swarm Optimization, Differential Evolution, and Particle Collision Algorithms. Improved versions of these methods and strategies for parameter tuning are also presented, both of which are essential for the practical use of these important computational tools. The second part then applies metaheuristics to problems, mainly in Civil, Mechanical, Chemical, Electrical, and Nuclear Engineering. Other methods, such as the Flower Pollination Algorithm, Symbiotic Organisms Search, Cross-Entropy Algorithm, Artificial Bee Colonies, Population-Based Incremental Learning, Cuckoo Search, and Genetic Algorithms, are also presented. The book is rounded out by recently developed strategies, or hybrid improved versions of existing methods, such as the Lightning Optimization Algorithm, Differential Evolution with Particle Collisions, and Ant Colony Optimization with Dispersion – state-of-the-art approaches for the application of computational intelligence to engineering problems. The wide variety of methods and applications, as well as the original results to problems of practical engineering interest, represent the primary differentiation and distinctive quality of this book. Furthermore, it gathers contributions by authors from four countries – some of which are the original proponents of the methods presented – and 18 research centers around the globe.
Author :
Publisher : Thomas Telford
ISBN 13 : 9780727720337
Total Pages : 380 pages
Book Rating : 4.7/5 (23 download)
Download or read book Fuel Management and Handling written by and published by Thomas Telford. This book was released on 1995 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covers advances in nuclear fuel handling and fuel management and assesses their impact in increasing reactor availability
Author : Keith Everette Ottinger
Publisher :
ISBN 13 :
Total Pages : 140 pages
Book Rating : 4.:/5 (115 download)
Download or read book Multi-cycle Boiling Water Reactor Fuel Cycle Optimization written by Keith Everette Ottinger and published by . This book was released on 2014 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: A multi-cycle nuclear fuel cycle optimization code, BWROPT (Boiling Water Reactor OPTimization), has been developed. BWROPT uses the Parallel Simulated Annealing (PSA) algorithm to solve the coupled out-of-core and in-core optimization problems. There are two depletion methods used for the in-core optimization: the Haling depletion and a Control Rod Pattern (CRP) search. The result of this optimization is the optimum new fuel inventory and the core loading pattern for the first cycle considered in the optimization. Several changes were made to the optimization algorithm with respect to other nuclear fuel cycle optimization codes that use PSA. Instead of using constant sampling probabilities for the solution perturbation types throughout the optimization, as is usually done, the sampling probabilities can be varied to get a better solution and/or decrease runtime. Also, the new fuel types available for use can be sorted into an array based on any parameter so that each parameter can be incremented or decremented. In addition several evaluations were performed to test the CRP search option. Using the variable sampling probabilities was found to produce slightly better results in less time than the standard method of having constant sampling probabilities. Performing ordered and random sampling of the new fuel types using the new fuel type array was found to yield slightly better solutions on average than random sampling alone, but with a somewhat higher runtime. Using variable length Markov chains for optimizations in which a CRP search is performed for the first cycle and the Haling depletion is used for the remaining cycles was found to increase CPU utilization by 33%. Starting the CRP search with the CRP determined for the previous solution was found to be better than starting the CRP search with all of the rods fully withdrawn. Using the CRP search in an optimization was slow and produced inferior results compared to using the Haling depletion, indicating the need for more work in this area.
Author : Tong Guo
Publisher :
ISBN 13 :
Total Pages : 68 pages
Book Rating : 4.:/5 (384 download)
Download or read book Within-lattice Nuclear Fuel Assembly Loading Optimization by Simulated Annealing written by Tong Guo and published by . This book was released on 1997 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study presents the development of an optimization engine applicable to light water reactor (LWR) fuel assembly loading design. The optimization technique employed is the simulated annealing (SA) algorithm, while the evaluation of design objectives and constraints is handled by coupling to the lattice-physics code CPM-2. The optimization control variables include the "pin-by-pin" placement and/or loading of nuclear fuel, burnable absorbers, or other material regions within a fuel assembly (e.g. water holes, guide tubes, etc.). Also, the designer can "freeze" any given region during the optimization, both in terms of location and/or composition. The objective functions presently available include the minimization of 235U enrichment or the minimization of pin power peaking, both of which can act as constraints to one another (via penalty-based or hard constraints).
Author : American Nuclear Society. Fuel Cycle and Waste Management Division
Publisher :
ISBN 13 :
Total Pages : 656 pages
Book Rating : 4.3/5 (91 download)
Download or read book Topical Meeting on Advances in Fuel Management, March 2-5, 1986, Pinehurst Hotel & Country Club, Pinehurst, North Carolina written by American Nuclear Society. Fuel Cycle and Waste Management Division and published by . This book was released on 1986 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : John Albert Hughes
Publisher :
ISBN 13 :
Total Pages : 606 pages
Book Rating : 4.:/5 (31 download)
Download or read book Methods of Nuclear Fuel Management for Utilities written by John Albert Hughes and published by . This book was released on 1975 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Joseph Patrick Kearney
Publisher :
ISBN 13 :
Total Pages : 586 pages
Book Rating : 4.:/5 (14 download)
Download or read book Simulation and Optimization Techniques of Nuclear In-core Fuel Management Decisions written by Joseph Patrick Kearney and published by . This book was released on 1973 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Adem Erdoğan
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (85 download)
Download or read book Application of computational intelligence methods to in-core fuel management written by Adem Erdoğan and published by . This book was released on 2001 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In this study, a computer program package has been developed which supports thein-core fuel management activities for pressurised water reactors, generates and recommends optimum loading patterns to ensure safe and efficient reactor operation.A search for an optimum fuel loading pattern must be conducted in the space ofseveral core parameters such as power distribution, which is an excessively timeconsuming computational process. Global core calculation codes take a relativelylong time to do the task. The time interval necessary for the iterative process was reduced by using an artificial neural network estimator for the calculations. In this way , it was possible to analyse more loading patterns in the same time interval and the probability of finding a desired optimum was increased.As a case study , the core of the Almaraz Nuclear Power Plant of Spain, a pressurised water reactor, was modelled for the core calculation code system. The 2-group cross sections for the fuel assembly types were calculated and stored for later usage with the diffusion code. The fuel depletion effects were omitted.2000 loading patterns were generated by placing fuel assemblies to random positions in the core, and for each pattern the power distribution and effective multiplication factor (keff) were calculated with the diffusion code. At the next stage, 500 of the loading patterns were introduced to the neural network as input data for the training process. The remaining 1500 patterns were used to validate the neural network implementation. It was shown that the neural network estimates the power distribution and the effective multiplication factor within acceptable error limits.To complete the system, a loading pattern generator was developed. This moduleconsists of a set of rules and an algorithm that places the fuel assemblies to core positions. The neural network estimated the power distribution and effective multiplication factor for the loading patterns that were generated. The patterns that have a maximum power fraction lower than, and a minimum effective multiplication factor higher than reference values were stored as candidate optimum patterns. At the last stage of the work, an alternative loading pattern generator based on genetic algorithm method was developed. in this method, an initial loading pattern is improved by applying the genetic operators to obtain the optimum. The loading patterns obtained from the simple rule-based and the genetic algorithm methods were compared, and the genetic algorithm was shown to be more successful.It was seen that, it is possible to automate in-core fuel management activities by applying artificial intelligence techniques.
Author : Jane C. Reed (S.B.)
Publisher :
ISBN 13 :
Total Pages : 21 pages
Book Rating : 4.:/5 (119 download)
Download or read book Application of Genetic Algorithm and Deep Reinforcement Learning for In-core Fuel Management written by Jane C. Reed (S.B.) and published by . This book was released on 2020 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt: The nuclear reactor core is composed of few hundred assemblies. The loading of these assemblies is done with the goal of reducing its overall cost while maintaining safety limits. Typically, the core designers choose a unique position and fuel enrichment for each assembly through use of expert judgement. In this thesis, alternatives to the current core reload design process are explored. Genetic algorithm and deep Q-learning are applied in an attempt to reduce core design time and improve the final core layout. The reference core represents a 4-loop pressurized water reactor where fixed number of fuel enrichments and burnable poison distributions are assumed. The algorithms automatically shuffles the assembly positions to find the optimum loading pattern. It is determined that both algorithms are able to successfully start with a poorly performing core loading pattern and discover a well performing one, by the metrics of boron concentration, cycle exposure, enthalpy-rise factor, and pin power peaking. This shows potential for further applications of these algorithms for core design with a more expanded search space.
