Title :
Nuclear
Reactor Core Monitoring and Optimization
Author : Mohamed Taha Ali Mahady
Collection : M.Sc. Nuclear
Abstract:
During
the nuclear reactor operation, the control rod position, the boron
concentration, the moderator density and the coolant temperature are among the
important variable parameters whose values have to be considered by the
operator in order to make the right decision. Any changes in these parameters
in addition to the other reactor ones affect the key parameters, namely, the
radial form factor, the average discharge irradiation, and the multiplication
factor. These key parameters in turn have to be optimized in order to achieve
the reactor objective function which is a function normally derived from the
key parameters and able to achieve the safety and operation principles. In this
work, artificial neural network method has been applied at the beginning of the
fuel cycle of the benchmark7 PWR 2772-MWth operating at 100% full power to
predictthe control rod positions. Training of the neural network has been based
on the outputs of Triton code which is a multi-group diffusion depletion code
in three dimensions, with criticality searches, written in FORTRAN. Results
show that control rod positions predicted by neutral network get closer to the
actual positions whenever the control rod is more inserted inside the core.
Triton code was also used to obtain the effective multiplication factor (keff)
depending on control rod position, boron concentration, moderator density, and
coolant temperature. The WEKA(Waikato Environment for Knowledge Analysis) data
mining soft ware made use of these data to for mulatea mathematical expression
describing the relationship between the key parameter- and the mentioned
variable parameters. Finally the genetic algorithms were utilized to optimize
the value of the effective <multiplication factor(keff).Criticality was
found to be achieved when the control rod was 25% inserted with a boron
concentration equal to 1200 ppm and moderator density equal to 0.7125 gm/crrr’
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