BOTANI: High-fidelity multiphysics model for boron chemistry in CRUD deposits
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Seo, Seungjin | - |
dc.contributor.author | Park, Byungg | - |
dc.contributor.author | Kim, Sung Joong | - |
dc.contributor.author | Shin, Ho Cheol | - |
dc.contributor.author | Lee, Seo Jeong | - |
dc.contributor.author | Lee, Minho | - |
dc.contributor.author | Choi, Sungyeol | - |
dc.date.accessioned | 2021-07-30T04:53:43Z | - |
dc.date.available | 2021-07-30T04:53:43Z | - |
dc.date.created | 2021-05-11 | - |
dc.date.issued | 2021-05 | - |
dc.identifier.issn | 1738-5733 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/1944 | - |
dc.description.abstract | We develop a new high-fidelity multiphysics model to simulate boron chemistry in the porous Chalk River Unidentified Deposit (CRUD) deposits. Heat transfer, capillary flow, solute transport, and chemical reactions are fully coupled. The evaporation of coolant in the deposits is included in governing equations modified by the volume-averaged assumption of wick boiling. The axial offset anomaly (AOA) of the Seabrook nuclear power plant is simulated. The new model reasonably predicts the distributions of temperature, pressure, velocity, volumetric boiling heat density, and chemical concentrations. In the thicker CRUD regions, 60% of the total heat is removed by evaporative heat transfer, causing boron species accumulation. The new model successfully shows the quantitative effect of coolant evaporation on the local distributions of boron. The total amount of boron in the CRUD layer increases by a factor of 1.21 when an evaporation-driven increase of soluble and precipitated boron concentrations is reflected. In addition, the concentrations of B(OH)3 and LiBO2 are estimated according to various conditions such as different CRUD thickness and porosity. At the end of the cycle in the AOA case, the total mass of boron incorporated in CRUD deposits of a reference single fuel rod is estimated to be about 0.5 mg. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | KOREAN NUCLEAR SOC | - |
dc.title | BOTANI: High-fidelity multiphysics model for boron chemistry in CRUD deposits | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Sung Joong | - |
dc.identifier.doi | 10.1016/j.net.2020.11.008 | - |
dc.identifier.scopusid | 2-s2.0-85096928065 | - |
dc.identifier.wosid | 000648407400013 | - |
dc.identifier.bibliographicCitation | NUCLEAR ENGINEERING AND TECHNOLOGY, v.53, no.5, pp.1676 - 1685 | - |
dc.relation.isPartOf | NUCLEAR ENGINEERING AND TECHNOLOGY | - |
dc.citation.title | NUCLEAR ENGINEERING AND TECHNOLOGY | - |
dc.citation.volume | 53 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 1676 | - |
dc.citation.endPage | 1685 | - |
dc.type.rims | ART | - |
dc.type.docType | Article in Press | - |
dc.identifier.kciid | ART002707841 | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Nuclear Science & Technology | - |
dc.relation.journalWebOfScienceCategory | Nuclear Science & Technology | - |
dc.subject.keywordPlus | THERMAL-CONDUCTIVITY | - |
dc.subject.keywordPlus | HIGH-TEMPERATURE | - |
dc.subject.keywordAuthor | Axial offset anomaly | - |
dc.subject.keywordAuthor | Boron hideout | - |
dc.subject.keywordAuthor | CRUD | - |
dc.subject.keywordAuthor | Evaporation-driven concentration | - |
dc.subject.keywordAuthor | Multiphysics | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S1738573320309232?via%3Dihub | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.