FORMOSA-B: A Boiling Water Reactor In-Core Fuel Management Optimization Package II

Karve, Atul A.; Turinsky, Paul J.

doi:10.13182/nt00-a3104

“…Therefore, the acceptance probability for a worse candidate solution (i.e., that has negative value) decreases from Eq. (14).…”

Section: Optimization Methodsmentioning

confidence: 99%

“…Thanks to improvement of computer hardware, the stochastic optimization methods were winning their admiration not only in academia but also industry. [13][14][15][16][17][18][19][20][21][22] Currently, some of the loading pattern optimization methods are utilized as practical tools in the Pressurized Water Reactor (PWR) incore fuel management and are being used in the Boling Water Reactor (BWR) core design.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Loading Patterns Optimization for Two Successive Cycles of Pressurized Water Reactors

Yamamoto

¹

,

Sugimura

²

,

Kitamura

³

et al. 2004

Journal of Nuclear Science and Technology

4

0

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In this paper, simultaneous optimization is carried out for successive two cycles of pressurized water reactors. At first, a simplified problem of the simultaneous optimization was studied by assuming the batch-wise power sharing as independent variable, i.e., batch-wise power sharing was optimized without considering corresponding loading patterns. The optimization of the batch-wise power sharing was carried out for the conventional single cycle, the equilibrium cycle and the two successive (tandem) cycles. The analysis indicated that the tandem cycle optimization well reproduce that of the equilibrium cycle optimization, which is considered as a typical case of the true multicycle optimization. Next, simultaneous optimization of loading patterns for tandem cycles is carried out using the simulated annealing method. Since the design space of the tandem cycles optimization is much larger than that of the conventional single cycle optimization, the optimization condition (i.e., number of calculated patterns) are established through sensitivity study. The optimization results are compared with those obtained by the successive single cycle optimizations and it is clarified that the successive single cycle optimization well reproduces the optimization results obtained by the simultaneous optimization if objective functions are appropriately chosen. The above result will be encouraging for the current in-core optimization method since single cycle optimization is utilized due to limitation of computation time.

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“…In particular, the void fraction, the fuel temperature, the moderator temperature, and the control rod insertion depend on the exposure [13]. In Equation (6), w is the weight function, which reflects the decay effect of the core state variable X, especially for the control rod insertion.…”

Section: History Effectmentioning

confidence: 99%

A macroscopic cross-section model for BWR pin-by-pin core analysis

Fujita

¹

,

Endo

²

,

Yamamoto

³

2013

Journal of Nuclear Science and Technology

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A macroscopic cross-section model used in boiling water reactor (BWR) pin-by-pin core analysis is studied. In the pin-by-pin core calculation method, pin-cell averaged cross sections are calculated for many combinations of core state and depletion history variables and are tabulated prior to core calculations. Variations of cross sections in a core simulator are caused by two different phenomena (i.e. instantaneous and history effects). We treat them through the core state variables and the exposure-averaged core state variables, respectively. Furthermore, the cross-term effect among the core state and the depletion history variables is considered. In order to confirm the calculation accuracy and discuss the treatment of the cross-term effect, the k-infinity and the pin-by-pin fission rate distributions in a single fuel assembly geometry are compared. Some cross-term effects could be negligible since the impacts of them are sufficiently small. However, the cross-term effects among the control rod history (or the void history) and other variables have large impacts; thus, the consideration of them is crucial. The present macroscopic cross-section model, which considers such dominant cross-term effects, well reproduces the reference results and can be a candidate in practical applications for BWR pin-by-pin core analysis on the normal operations.

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“…[1][2][3] During the past decade, stochastic optimization methods such as the simulated annealing, the genetic algorithm, the evolutionary algorithm and the tabu search were successfully applied to actual incore fuel management optimization problems. [4][5][6][7][8][9][10][11][12][13][14][15][16][17] Origin of these optimization methods is not very new, but they were remaining in the academic area for a long time since these methods require considerable computational resources. Thanks to improvement of computer hardware, the stochastic optimization methods were winning their admiration not only in academia but also industry.…”

Section: Introductionmentioning

confidence: 99%

“…Thanks to improvement of computer hardware, the stochastic optimization methods were winning their admiration not only in academia but also industry. [13][14][15][16][17][18][19][20][21][22] Currently, some of the loading pattern optimization methods are utilized as practical tools in the Pressurized Water Reactor (PWR) incore fuel management and are being used in the Boling Water Reactor (BWR) core design.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Loading Patterns Optimization for Two Successive Cycles of Pressurized Water Reactors

Yamamoto

¹

,

Sugimura

²

,

Kitamura

³

et al. 2004

J. Nucl. Sci. Technol.

1

0

View full text Add to dashboard Cite

In this paper, simultaneous optimization is carried out for successive two cycles of pressurized water reactors. At first, a simplified problem of the simultaneous optimization was studied by assuming the batch-wise power sharing as independent variable, i.e., batch-wise power sharing was optimized without considering corresponding loading patterns. The optimization of the batch-wise power sharing was carried out for the conventional single cycle, the equilibrium cycle and the two successive (tandem) cycles. The analysis indicated that the tandem cycle optimization well reproduce that of the equilibrium cycle optimization, which is considered as a typical case of the true multicycle optimization. Next, simultaneous optimization of loading patterns for tandem cycles is carried out using the simulated annealing method. Since the design space of the tandem cycles optimization is much larger than that of the conventional single cycle optimization, the optimization condition (i.e., number of calculated patterns) are established through sensitivity study. The optimization results are compared with those obtained by the successive single cycle optimizations and it is clarified that the successive single cycle optimization well reproduces the optimization results obtained by the simultaneous optimization if objective functions are appropriately chosen. The above result will be encouraging for the current in-core optimization method since single cycle optimization is utilized due to limitation of computation time.

show abstract

FORMOSA-B: A Boiling Water Reactor In-Core Fuel Management Optimization Package II

Cited by 30 publications

References 12 publications

Simultaneous Loading Patterns Optimization for Two Successive Cycles of Pressurized Water Reactors

Simultaneous Loading Patterns Optimization for Two Successive Cycles of Pressurized Water Reactors

A macroscopic cross-section model for BWR pin-by-pin core analysis

Simultaneous Loading Patterns Optimization for Two Successive Cycles of Pressurized Water Reactors

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