A Methodology for CHF Prediction in VVER Rod Bundles
Mohamed AbdulHameed, Aly Shaaban, Hussein Gamal, Ayah Elshahat

TL;DR
This paper presents a methodology for predicting critical heat flux in VVER reactor rod bundles using various correlations and LUTs, assessing their accuracy, computational efficiency, and effects of physical parameters.
Contribution
It introduces a comprehensive approach combining reactor modeling, correlation comparison, and algorithm assessment for CHF prediction in VVER reactors.
Findings
Groeneveld LUT closely reproduces Bobkov LUT CHF values.
Non-uniform axial heat flux does not impact CHF in subcooled conditions.
Bourke algorithm is more noise-resistant and similarly efficient as standard algorithms.
Abstract
The critical heat flux (CHF) is an important thermal-hydraulic parameter that must be determined during the design of water-cooled reactors to ensure safety of operation. In this paper, a methodology is proposed to predict the CHF in VVER rod bundles. A whole-reactor model of VVER-1000 is implemented in RELAP-SCDAPSIM, and, based on the bundle-average approach, the parameters of the hot channel are used to assess four CHF predictors (i.e., the 2006 Groeneveld look-up table (LUT), and the Bowring, W-3, Biasi, and OKB-Gidropress correlations) upon comparison with the 2011 Bobkov LUT. A brief critique is given of the correction factors for both the Groeneveld and Bobkov LUTs. The effects of channel diameter and non-uniform axial heat flux on the predicted values of CHF in subcooled conditions are also studied. The performance and time complexity of the standard and Bourke trilinear…
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