MOX fuel enrichment prediction in PWR using polynomial models
• Development of polynomial model to predict the required plutonium content. • The accuracy of this model is good (1.5% of error). • Proposition of a methodology to use the model with other PWR-MOX geometry. • This approach has been applied to the PWR MOX case in a dynamic fuel cycle code.
Gespeichert in:
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Mouginot, B. [verfasserIn] |
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E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Umfang: |
8 |
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| Übergeordnetes Werk: |
Enthalten in: Commentary: The Autonomy/Safety Dilemma in Cardiac Surgical Training - Cohen, Robbin G. ELSEVIER, 2021, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:85 ; year:2015 ; pages:812-819 ; extent:8 |
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| DOI / URN: |
10.1016/j.anucene.2015.06.038 |
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| 520 | |a • Development of polynomial model to predict the required plutonium content. • The accuracy of this model is good (1.5% of error). • Proposition of a methodology to use the model with other PWR-MOX geometry. • This approach has been applied to the PWR MOX case in a dynamic fuel cycle code. | ||
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• Development of polynomial model to predict the required plutonium content. • The accuracy of this model is good (1.5% of error). • Proposition of a methodology to use the model with other PWR-MOX geometry. • This approach has been applied to the PWR MOX case in a dynamic fuel cycle code. |
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• Development of polynomial model to predict the required plutonium content. • The accuracy of this model is good (1.5% of error). • Proposition of a methodology to use the model with other PWR-MOX geometry. • This approach has been applied to the PWR MOX case in a dynamic fuel cycle code. |
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• Development of polynomial model to predict the required plutonium content. • The accuracy of this model is good (1.5% of error). • Proposition of a methodology to use the model with other PWR-MOX geometry. • This approach has been applied to the PWR MOX case in a dynamic fuel cycle code. |
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