Presentation and comparison of experimental critical heat flux data at conditions prototypical of light water small modular reactors

•Low mass flux and moderate to high pressure CHF experimental results are presented.•Facility uses chopped-cosine heater profile in a 2×2 square bundle geometry.•The EPRI, CISE-GE, and W-3 CHF correlations provide reasonable average CHF prediction.•Neural network analysis predicts experimental data and demonstrates utility of method. The critical heat flux (CHF) is a two-phase flow phenomenon which rapidly decreases the efficiency of the heat transfer performance at a heated surface. This phenomenon is one of the limiting criteria in the design and operation of light water reactors. Deviations of operating parameters greatly alters the CHF condition and must be experimentally determined for any new parameters such as those proposed in small modular reactors (SMR) (e.g. moderate to high pressure and low mass fluxes). Current open literature provides too little data for functional use at the proposed conditions of prototypical SMRs. This paper presents a brief summary of CHF data acquired from an experimental facility at the University of Wisconsin-Madison designed and built to study CHF at high pressure and low mass flux ranges in a 2×2 chopped cosine rod bundle prototypical of conceptual SMR designs. The experimental CHF test inlet conditions range from pressures of 8–16MPa, mass fluxes of 500–1600kg/m2s, and inlet water subcooling from 250 to 650kJ/kg. The experimental data is also compared against several accepted prediction methods whose application ranges are most similar to the test conditions.