A Study on Xenon Estimation During Load-Follow Operation Using Sliding Mode Observer in APR1400 for A Predictive Soluble Boron Control.
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| Title: | A Study on Xenon Estimation During Load-Follow Operation Using Sliding Mode Observer in APR1400 for A Predictive Soluble Boron Control. |
|---|---|
| Authors: | Khalefih, Husam1 (AUTHOR) husam.khalefih@kaist.ac.kr, Kim, Yonghee1 (AUTHOR) yongheekim@kaist.ac.kr |
| Source: | Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Mar2025, Vol. 50 Issue 5, p3491-3503. 13p. |
| Subjects: | Control elements (Nuclear reactors), Liquid waste, Chemical reactors, Chemical systems, Xenon, Nuclear reactors |
| Abstract: | During daily load-follow operations (DLFOs) in nuclear reactors, xenon concentration varies with power level, necessitating adjustments to the soluble boron concentration via dilution or boration. Since xenon cannot be directly measured within the reactor, this study introduces the use of a sliding mode observer (SMO) to estimate xenon concentration on the fly during the DLFO. Based on these estimates, the necessary boron concentration adjustments are calculated using a control algorithm (Mode-K +) that integrates data on the reactor's chemical control system, xenon, and boron worth. This study focuses on the APR1400 reactor's initial cycle and demonstrates a high degree of accuracy between the estimated xenon concentrations and reference values derived from KANT's in-house 3D time-dependent xenon model. The integration of the SMO with the load-follow operation control algorithm represents a significant advancement by providing reactor operators with precise boron adjustment information. This precision minimizes unnecessary control rod movements, thereby reducing the risk of axial or radial power peaking, a critical factor for maintaining reactor stability and safety. Additionally, this approach optimizes the boron dilution process by accurately timing and controlling the volume of demineralized water introduced into the system. This not only ensures the effective execution of load-follow operations but also significantly reduces the volume of liquid radioactive waste produced. The analysis was conducted using a two-step procedure: cross-sectional evaluation via the Serpent 2.2.0 continuous energy Monte Carlo code, followed by whole-core calculations to generate lumped parameters using KANT. This methodology offers a robust and novel solution for enhancing the safety and efficiency of nuclear reactor operations during load-follow scenarios. [ABSTRACT FROM AUTHOR] |
| Copyright of Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 183406193 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Study on Xenon Estimation During Load-Follow Operation Using Sliding Mode Observer in APR1400 for A Predictive Soluble Boron Control. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Khalefih%2C+Husam%22">Khalefih, Husam</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> husam.khalefih@kaist.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Kim%2C+Yonghee%22">Kim, Yonghee</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yongheekim@kaist.ac.kr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Arabian+Journal+for+Science+%26+Engineering+%28Springer+Science+%26+Business+Media+B%2EV%2E+%29%22">Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. )</searchLink>. Mar2025, Vol. 50 Issue 5, p3491-3503. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Control+elements+%28Nuclear+reactors%29%22">Control elements (Nuclear reactors)</searchLink><br /><searchLink fieldCode="DE" term="%22Liquid+waste%22">Liquid waste</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+reactors%22">Chemical reactors</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+systems%22">Chemical systems</searchLink><br /><searchLink fieldCode="DE" term="%22Xenon%22">Xenon</searchLink><br /><searchLink fieldCode="DE" term="%22Nuclear+reactors%22">Nuclear reactors</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: During daily load-follow operations (DLFOs) in nuclear reactors, xenon concentration varies with power level, necessitating adjustments to the soluble boron concentration via dilution or boration. Since xenon cannot be directly measured within the reactor, this study introduces the use of a sliding mode observer (SMO) to estimate xenon concentration on the fly during the DLFO. Based on these estimates, the necessary boron concentration adjustments are calculated using a control algorithm (Mode-K +) that integrates data on the reactor's chemical control system, xenon, and boron worth. This study focuses on the APR1400 reactor's initial cycle and demonstrates a high degree of accuracy between the estimated xenon concentrations and reference values derived from KANT's in-house 3D time-dependent xenon model. The integration of the SMO with the load-follow operation control algorithm represents a significant advancement by providing reactor operators with precise boron adjustment information. This precision minimizes unnecessary control rod movements, thereby reducing the risk of axial or radial power peaking, a critical factor for maintaining reactor stability and safety. Additionally, this approach optimizes the boron dilution process by accurately timing and controlling the volume of demineralized water introduced into the system. This not only ensures the effective execution of load-follow operations but also significantly reduces the volume of liquid radioactive waste produced. The analysis was conducted using a two-step procedure: cross-sectional evaluation via the Serpent 2.2.0 continuous energy Monte Carlo code, followed by whole-core calculations to generate lumped parameters using KANT. This methodology offers a robust and novel solution for enhancing the safety and efficiency of nuclear reactor operations during load-follow scenarios. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s13369-024-09620-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 3491 Subjects: – SubjectFull: Control elements (Nuclear reactors) Type: general – SubjectFull: Liquid waste Type: general – SubjectFull: Chemical reactors Type: general – SubjectFull: Chemical systems Type: general – SubjectFull: Xenon Type: general – SubjectFull: Nuclear reactors Type: general Titles: – TitleFull: A Study on Xenon Estimation During Load-Follow Operation Using Sliding Mode Observer in APR1400 for A Predictive Soluble Boron Control. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Khalefih, Husam – PersonEntity: Name: NameFull: Kim, Yonghee IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 2193567X Numbering: – Type: volume Value: 50 – Type: issue Value: 5 Titles: – TitleFull: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) Type: main |
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