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Conference papers
Bias identification and estimation based on data reconciliation and first-principle model application to nuclear fuel recycling process.
Abstract : At La Hague plant, the PUREX process recycles spent nuclear fuel. Uranium and plutonium are recovered and purified by solvent extraction. The PAREX code simulates the partitioning of the species, the transfer and chemical kinetics. Industrially, high consideration is given to a specific set of hard sensors on main fluxes needed for operation, control and safety issues (multiple sensors, regular checking). A project has been launched in order to automatically estimate the process state thanks to data reconciliation and the knowledge-based simulator PAREX. The first step is to make use of secondary sensors. However, these additional data can have biases that cannot be detected with prior data. This paper offers a methodology to identify and estimate significant and numerous biases within connected fluxes.
Cited literature [3 references]
https://hal-cea.archives-ouvertes.fr/cea-02338719
Contributor : Bibliothèque Cadarache <>
Submitted on : Monday, February 24, 2020 - 3:43:22 PM
Last modification on : Tuesday, April 28, 2020 - 11:28:14 AM
Long-term archiving on: : Monday, May 25, 2020 - 6:20:09 PM
Contributor : Bibliothèque Cadarache <>
Submitted on : Monday, February 24, 2020 - 3:43:22 PM
Last modification on : Tuesday, April 28, 2020 - 11:28:14 AM
Long-term archiving on: : Monday, May 25, 2020 - 6:20:09 PM
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201800003363.pdf
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