Abstract
We extend the multi-physics capabilities of the Serpent 2
Monte Carlo code to coupled burnup calculations by
implementing the Stochastic Implicit Euler depletion
scheme with thermal feedback. We use these new
multi-physics capabilities for the verification of the
traditional way of generating group constants using an
effective flat fuel temperature profile during the burnup
calculation. We investigate the effects of this
approximation on the generated nuclide compositions,
group constants as well as the results on the simulation
of the initial cycle of the EPR reactor using the ARES
core simulator. The main findings state that while the
use of an effective temperature model leads to
significant differences in the radial nuclide
distributions, the assembly wide homogenized group
constants are reproduced fairly well and the effects on
the simulation of the EPR initial cycle are modest,
although interesting axial and radial power
redistribution can be observed due to the slower speed of
gadolinium burnout when effective fuel temperatures were
used. The results indicate that better results for the
full core calculations could be obtained by using a
separate effective temperature for the burnable absorber
rods in the burnup calculation and by considering the
fuel temperature history effect in the group constant
parametrization.
| Original language | English |
|---|---|
| Pages (from-to) | 79-94 |
| Journal | Annals of Nuclear Energy |
| Volume | 105 |
| DOIs | |
| Publication status | Published - 1 Jul 2017 |
| MoE publication type | A1 Journal article-refereed |
Keywords
- Monte Carlo
- multi-physics
- burnup
- fuel temperature
- group constant
- Multi-physics
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Dive into the research topics of 'Estimating the effects of homogenized fuel temperature in group constant generation using Serpent 2'. Together they form a unique fingerprint.Research output
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- 1 Dissertation
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Development and applications of multi-physics capabilities in a continuous energy Monte Carlo neutron transport code: Dissertation
Valtavirta, V., 2017, Aalto University. 172 p.Research output: Thesis › Dissertation › Collection of Articles
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