NEUP CINR-23-29729: CFD based Critical Heat Flux predictions for enhanced DNBR margin

This proposal seeks to demonstrate a robust high-fidelity CFD-based methodology to predict CHF behavior at varying quality conditions, enabling the development of advanced DNBR correlations with reduced uncertainty, and in support of upgraded plant economics. The availability of a virtual CHF methodology will allow greatly extending the database for DNBR correlations development and support further advancement in the design of high-performing nuclear fuel.

Additional Info

Field	Value
Awarded Institution	Massachusetts Institute of Technology
PI	Emilio Baglietto