LAPSE:2023.12534
Published Article
LAPSE:2023.12534
An Advanced TRACE Modeling Approach: Automatic Connection of 3D Cartesian and Cylindrical VESSEL Components in Integral Plant Models
February 28, 2023
Abstract
Best estimate system thermal-hydraulic codes in the nuclear engineering community, e.g., TRACE, RELAP3D, CATHARE-3, etc., were extended with 3D coarse-mesh components to better describe the 3D Thermal-Hydraulic (TH) phenomena taking place within the Reactor Pressure Vessel (RPV) and the core. The RPV is usually shaped like a cylinder while the core is mostly a cube. Hence, the TRACE code is equipped with a Cylindrical VESSEL and a Cartesian VESSEL. The former one is to represent the RPV (including core), pressurizer, and steam generator. The latter one is more appropriate to represent the core. The two components are connected by two Vessel-Junctions (VJ) at the core inlet and outlet. Due to the different nodalization between the two VESSELs, the analyst needs to do repetitive and error-prone work defining the cell-to-cell junctions and their TH parameters. To facilitate this process, the Karlsruhe Institute of Technology (KIT) has developed an automatic approach based on a mesh-constructing and field-mapping library, namely the MEDCoupling. These new capabilities of TRACE are demonstrated by the analysis of the coolant mixing for an academic case and the AP1000 reactor.
Keywords
automatic modeling, Cartesian VESSEL, Cylindrical VESSEL, MEDCoupling, TRACE
Suggested Citation
Zhang K, Sanchez-Espinoza VH. An Advanced TRACE Modeling Approach: Automatic Connection of 3D Cartesian and Cylindrical VESSEL Components in Integral Plant Models. (2023). LAPSE:2023.12534
Author Affiliations
Zhang K: Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany [ORCID]
Sanchez-Espinoza VH: Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany [ORCID]
Journal Name
Energies
Volume
15
Issue
12
First Page
4384
Year
2022
Publication Date
2022-06-16
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15124384, Publication Type: Journal Article
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LAPSE:2023.12534
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https://doi.org/10.3390/en15124384
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