Advanced modeling & simulation


Advanced modeling & simulation

Our research topic is also extending the experimental and theoretical modeling approaches to support advanced modeling and simulation capabilities for energy systems. Improved basic scientific understanding and engineering knowledge through fundamental study would be integrated with multi-physics simulations, which is expected to enhance predictive capabilities of numerical simulation or system codes in nuclear reactor systems.
Advanced modeling for boiling simulation

Currently, most two-phase flow simulations use experimental correlations to describe bubble nucleation during boiling. However, the discrepancy between the predictions of experimental correlations and actual results is a serious weakness for any numerical simulation. Additionally, there is no nucleate site density model for smooth surfaces to date. In this regard, we are working on developing boiling simulation methods that can describe boiling phenomena including nucleation. The new nucleation model in simulation is expected to be applicable to boiling computational codes by providing enhanced nucleation site density models in boiling that would notably contribute to enhance design efficiency and reduce costs in the future.

Applying the first principle model in nuclear system codes

System codes are important tools to analyze nuclear power plant systems since the codes are able to provide the results considering multi-components connected to each other in nuclear power plants. Even though it could provide a systematical view of the entire system, details predicting thermal-hydraulics are relying on empirical correlations developed for very specific conditions. However, recent designs of nuclear power plant systems such as SMR of NuScale or micro-reactor designs considered by many associations are taking totally different operating or environmental conditions, which requires new correlation development. For this kind of issue, we are developing equations based on the first principle model not empirical correlations for better and tolerant system codes.