Hello, A change in allocation has been requested: Requester: ssom (Sibendu Som) Project: LES-Engine Title: Effect of LES resolved spray coupled with reduced kinetics on engine performance Description: With the use of parallel processing and highly-scalable CFD solvers, LES is becoming an increasingly practical technique for modeling the turbulent flow in internal combustion engines. Recently it has been shown by Argonne and CSI that LES can provide good qualitative and quantitative comparisons to instantaneous engine spray measurements since it directly resolves the large scales in the flow field. Grid-convergence behavior of a dynamic structure based LES model was demonstrated by employing minimum cell sizes in the order of 30 microns under evaporating but non-combustion spray conditions. This methodology has not yet been applied to the simulation of a diesel engine. Demonstration of grid-convergence in a real engine simulation is challenging due the need to resolve finer flow structures across larger volumes which may result in high computational costs. This project will address these challenges by using advanced load-balancing algorithms (such as METIS), reduced chemical kinetic models for combustion (ensuring that the fidelity of the model is very high under the operating conditions), multi-zone model, HPC resources to ensure lower wall-clock times, adaptive mesh resolution technique to add cells in desired locations of high temperature, species, and velocity gradients, and sector simulations for bench-marking the LES. The key will be to develop “best practices” for LES simulations on GE hardware. Through this collaboration the following activities are planned; 1. Dynamic structure based LES turbulence model coupled with reduced kinetics to evaluate engine performance using a sector mesh. a. This coupling of LES turbulence models with reduced kinetics is being attempted for the first time. A sector mesh is planned for to keep run times less than a week. 2. Comparison of existing modeling capability against the advanced approaches highlighted above. If indeed these advanced modeling techniques coupled with supercomputing is beneficial for GE; then we need to assess the scalability and speed-up of CONVERGE code with GE-hardware as a continuing exercise. Current: undetermined amount Justification: Requested: 499000 A specific reason has been given: The GE folks decided to run some really large LES simulations of their large bore engines which was originally out of scope for this year. However, the simulations seem successful. We would need to request a similar amount of additional allocation to still finish the planned simulations for this year. This needs to be approved and the final allocation amount decided upon. Thank You, The LCRC Accounts System