Assessment of CHF and Post-CHF Heat Transfer Models for High-Pressure Condition

Meiqi Song,Xiaojing Liu

doi:10.3389/fenrg.2021.782086

Abstract

Supercritical heat transfer systems may undergo trans-critical procedures and work at subcritical conditions during startup, shutdown, or some accidents. However, well-validated heat transfer models for the high-pressure condition (P/Pc>0.7) are still missing. In the present work, with exhaustive literature review, extensive experimental databanks of CHF and post-dryout heat transfer under high-pressure condition are established, respectively. Existing prediction models for the high-pressure condition are also summarized from all over the world. Thereby, with the aid of the high-pressure experimental databank, prediction models get evaluated. It has been demonstrated that CHF correlation developed by Song et al. shows good predictive capability. Post-dryout heat transfer could get well predicted by the Song correlation. These recommended prediction models could be implemented to upgrade safety analysis codes for simulation of trans-critical transients.

Highlights

A substance above its critical temperature Tc and critical pressure Pc is referred as a supercritical fluid (SCF)
Supercritical water (SCW) and supercritical carbon dioxide are actively considered as a coolant for power cycles throughout the world. It has been reported by Marion et al (2019) that the STEP 10 MWe sCO2 Pilot Plant Demonstration would achieve a net efficiency over 50%
Experimental databank of critical heat flux (CHF) and postCHF heat transfer for the high-pressure condition will be established, and existing prediction methods will be collected based on literatures all over the world and previous research by the authors

Summary

Introduction

A substance above its critical temperature Tc and critical pressure Pc is referred as a supercritical fluid (SCF). With exhaustive literature review, extensive experimental databanks of CHF and post-dryout heat transfer under high-pressure condition are established, respectively. Experimental databank of CHF and postCHF heat transfer for the high-pressure condition will be established, and existing prediction methods will be collected based on literatures all over the world and previous research by the authors.

Results

Conclusion