Hello, A yearly allocation for the LCRC cluster has been requested with the following updated information: Submitter/PI: Rui Hu Project Name: SHARP-IF Division: NE Project title: SHARP – Intermediate Fidelity Modeling Associated funding: DOE-Nuclear Energy Other Systems: Science: An intermediate fidelity (IF) thermal-hydraulics modeling method is being pursued for a fast-running, modest-fidelity, whole-core transient analyses capability. The approach is essential for design scoping and engineering analyses and could lead to improvements in the design of the new generations of reactors and to the reduction of uncertainties in safety analysis. The IF method relies on RANS based turbulence modeling approach and advanced system modeling methods to represent the fluid flow and heat transfer physics. Project description: The RANS-based commercial CFD code STAR-CCM+ is incorporated into the SHARP framework for a multi-scale analysis of Advanced Fast Reactors. STAR-CCM+ will be continuously used for design evaluations of reactor systems and experimental facilities. Notably, advanced sodium fast reactor design concept and the natural convection shutdown test facility that is currently being built at Argonne. This type of simulations is essential to assure the safety of the proposed design. Also, the post-test simulation results of the NSTF will be compared against to the experimental results as a validation study of the CFD code. A new advanced reactor system analysis tool SAM is being developed at Argonne for sodium-cooled fast reactor (SFR) applications based on the MOOSE framework. PROTEUS is a highly scalable, 3-D deterministic neutron transport code developed at ANL. It provides a high-fidelity heterogeneous geometry neutron transport capability for coupled multi-physics nuclear reactor applications. It is planned in FY16 to develop coupled SAM/Proteus simulation capability, and perform demonstration calculations. At Argonne, the CFD code STAR-CCM+ are routinely applied to simulations that use more than 200 cores, and good parallel performance has been observed. As problem size increases, i.e. for finer meshes and for large pin bundles, larger numbers of cores would be utilized and based on data from the developers good parallel performance will continue to be expected. On the other hand, the system code SAM is based on the MOOSE framework. The parallelization will be provided by the underlying MOOSE framework that is built on PETSc. The scalability of MOOSE has been demonstrated by other MOOSE-based applications. The system code usually relies on coarse representation of the system thus does not require significant amount of computing resources. PROTEUS is a highly scalable code, and its scaling performance has been demonstrated with extremely large simulations on Intrepid and Mira. Industry partnership: Project URL: Current FY Hours Used: undetermined amount New FY Requested allocation: 300000 Q1: 60000 Q2: 60000 Q3: 80000 Q4: 100000 Justification: Storage requirements: 1 TB Thank You, The LCRC Accounts System