Hello, A yearly allocation for the LCRC cluster has been requested with the following updated information: Submitter/PI: Sibendu Som Project Name: biodiesel-combustion Division: ES Project title: Development of tabulated turbulent combustion models Associated funding: DOE office of vehicle technology Other Systems: Science: This project aims to continue developing and validating novel flamelet tabulation models that can reduce computational costs and improve predictability of CFD models for engine combustion. These models will be tested against experimental data from ECN spray experiments as well as optical engines. The resulting computationally efficient modeling approaches will be applied to high resolution LES studies aimed towards understanding low temperature combustion. Project description: The project mainly involves model development and application of these models towards high fidelity CFD simulations. The novel concept (Tabulated Flamelet Model, TFM) has showed a 10 times speed up over the Representative Interactive Flamelet model and approximately 2 times speed up over the traditional homogeneous reactor models. The validations were carried out under a RANS as well as LES framework with peak cell counts of 20 million. Further developments to TFM have led to the TESF model (Tabulated Equivalent Scalar dissipation rate Flamelet). History effects of scalar dissipation can be accounted in tabulated models using this model. The project aims to further improve the speedup of the code and also reduce the memory footprint. This also involves implementation of state of the art interpolation techniques in the code. In-house flamelet solvers were developed to generate flamelet libraries. Development work will also be carried out to further extend the capacity of these codes to handle detailed mechanisms with more than 2000 species. This would include implementation of analytical Jacobians and sparse solvers. These novel and efficient modeling approaches will then be directed towards analyzing combustion of methyl decanoate (biodiesel surrogate) in an optical engine. The models will be validated over a wide range of engine operating conditions with data available from the optical engines. These simulations will be further extended to LES turbulence framework. The overall model improvements will finally help enable engine CFD modeling use LES and detailed chemistry. This will significantly improve the predictability of models. Industry partnership: Convergent Science Inc. Project URL: http://www.transportation.anl.gov/engines/multi_dim_model_home.html Current FY Hours Used: undetermined amount New FY Requested allocation: 450000 Q1: 100000 Q2: 100000 Q3: 125000 Q4: 125000 Justification: Storage requirements: 5 TB Thank You, The LCRC Accounts System