Multi level optimization of burnable poison utilization for advanced PWR fuel management
Abstract (Summary)
The objective of this study was to develop a unique methodology and a practical
tool for designing burnable poison (BP) pattern for a given PWR core. Two techniques
were studied in developing this tool. First, the deterministic technique called Modified
Power Shape Forced Diffusion (MPSFD) method followed by a fine tuning algorithm,
based on some heuristic rules, was developed to achieve this goal. Second, an efficient
and a practical genetic algorithm (GA) tool was developed and applied successfully to
Burnable Poisons (BPs) placement optimization problem for a reference Three Mile
Island-1 (TMI-1) core. This thesis presents the step by step progress in developing such a
tool.
The developed deterministic method appeared to perform as expected. The GA
technique produced excellent BP designs. It was discovered that the Beginning of Cycle
(BOC) Kinf of a BP fuel assembly (FA) design is a good filter to eliminate invalid BP
designs created during the optimization process. By eliminating all BP designs having
BOC Kinf above a set limit, the computational time was greatly reduced since the
evaluation process with reactor physics calculations for an invalid solution is canceled.
Moreover, the GA was applied to develop the BP loading pattern to minimize the
total Gadolinium (Gd) amount in the core together with the residual binding at End-of-
Cycle (EOC) and to keep the maximum peak pin power during core depletion and
Soluble boron concentration at BOC both less than their limit values. The number of
iv
UO2/Gd2O3 pins and Gd2O3 concentrations for each fresh fuel location in the core are the
decision variables and the total amount of the Gd in the core and maximum peak pin
power during core depletion are in the fitness functions. The use of different fitness
function definition and forcing the solution movement towards to desired region in the
solution space accelerated the GA runs. Special emphasize is given to minimizing the
residual binding to increase core lifetime as well as minimizing the total Gd amount in
the core.
The GA code developed many good solutions that satisfy all of the design
constraints. For these solutions, the EOC soluble boron concentration changes from 68.9
to 97.2 ppm. It is important to note that the difference of 28.3 ppm between the best and
the worst solution in the good solutions region represent the potential of 12.5 Effective-
Full-Power-Day (EPFD) savings in cycle length. As a comparison, the best BP loading
design has 97.2 ppm soluble boron concentration at EOC while the BP loading with
available vendor’s U/Gd FA designs has 94.4 ppm SOB at EOC. It was estimated that the
difference of 2.8 ppm reflected the potential savings of 1.25 EFPD in cycle length.
Moreover, the total Gd amount was reduced by 6.89 % in mass that provided extra
savings in fuel cost compared to the BP loading pattern with available vendor’s U/Gd FA
designs.
In addition, enriched Gd-155 and Gd-157 optimized BP designs were developed
to further reduce residual binding of natural high (7-8 w/o) Gd2O3 concentrated U/Gd
FAs. The optimized enriched Gd-155 designs successfully replaced the natural high (7-8
v
w/o) Gd2O3 concentrated U/Gd FAs in the reference BP loading. The residual Gd
reactivity effect was analyzed for these optimized designs. Cost analysis comparison was
performed to evaluate the potential economical benefits of the optimized BP designs as
compared to the conventional BP designs and to determine break-even point for unit Gd
enrichment cost.
Bibliographical Information:
Advisor:
School:Pennsylvania State University
School Location:USA - Pennsylvania
Source Type:Master's Thesis
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