Published December 2021 | Version v1
Journal article

Mechanistic critical heat flux prediction for in-vessel retention conditions

  • 1. Department of Applied Quantum Physics & Nuclear Engineering, Graduate School of Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395 (Japan)

Description

Highlights: • Experimental study of bubble diameter and net vapor generation point (NVG). • Impact of heating surface inclination on bubble departure diameter and NVG. • Modified liquid sublayer dryout model for inclination conditions. • Mechanistic critical heat flux prediction for In-vessel retention conditions. In-vessel retention (IVR) is considered a feasible technique to keep reactor pressure vessel (RPV) integrity in a severe reactor accident. For light water reactor (LWR), the effectiveness of this strategy relies soundly on the critical heat flux (CHF) distribution over the external surface of the lower plenum of RPV, whose orientation varies gradually from downward-facing horizontal to vertical. The CHF prediction capability of the liquid sublayer dryout model is efficient for high mass flux in vertical flow boiling conditions. This paper focuses on how to adapt the model to the changed orientation of the heating surface. Bubble departure diameter (dB) and net vapor generation point (NVG), the starting point for the void fraction developing in a heating channel, is one of the important key points in the CHF prediction. Therefore, to assess the predictive potential of CHF under IVR, experimental research was performed to measure bubble departure diameter and NVG for a changing heating surface orientation from downward-facing horizontal to vertical with a mechanistic model basing on the force balance. A modified liquid sublayer dryout model was then proposed where the channel orientation effect is considered to measure the bubble departure diameter (vapor blanket diameter) using the improved force balance model. The NVG is modified according to the departure diameter. The predicted departure diameter and subcooling at NVG show good consistency with the experimental data, and the modified liquid sublayer dryout model can predict the CHF data with an average relative error of 18.36% in IVR.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.nucengdes.2021.111494

Additional details

Identifiers

DOI
10.1016/j.nucengdes.2021.111494;
PII
S0029549321004465;

Publishing Information

Journal Title
Nuclear Engineering and Design
Journal Volume
384
Journal Page Range
vp.
ISSN
0029-5493
CODEN
NEDEAU

INIS

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Copyright (c) 2021 Elsevier B.V. All rights reserved.