Hello, A yearly allocation for the LCRC cluster has been requested with the following updated information: Submitter/PI: Sibendu Som Project Name: spray-modeling Division: ES Project title: Modeling of Flash Boiling of single component and blended surrogate fuels for Gasoline Direct Injection Applications Associated funding: DOE-FOA award with UIUC Other Systems: UIUC Science: Blending conventional hydrocarbon-based fuels with ethanol is an increasing trend these days to cope with the increment in the green-house gas emissions as well as the depleting fossil fuel reserves. Ethanol contains approximately 33% less energy per unit volume compared to pure gasoline, but higher octane rating of ethanol provides leverage by operating at higher compression ratio (using turbocharger). Increment of ethanol content is one of the directives of Department of Energy (DOE) and Environmental Protection Agency (EPA). This project will use a Computation Fluid Dynamics (CFD) software called CONVERGE to model phase change phenomenon to capture the effects of different levels of volatility of blended fuels depending on the fuel composition. Modified spray-models will be developed to take into account the effect of fuel composition variations. Project description: The project is divided in two parts: In the first part, sector simulations in Eulerian framework will be carried out to capture the different flashing tendencies of different fuels using single component (iso-octane and ethanol) and blended (varying % of ethanol by volume) gasoline surrogates. Flash boiling is a common phenomenon in GDI systems, where a high temperature fuel undergoes bulk vaporization in a short span of time when subjected to superheated thermodynamic conditions in the combustion chamber. The current study uses an Eulerian multiphase mixture framework in conjunction with homogenous relaxation model for modeling phase change in pure and blended fuels. A pseudo-single component is used to represent the physical properties of blends (varying proportions of ethanol and iso-octane). The volatility of blended components is sometimes higher than the constituent species due to the inherent non-equilibrium state of the mixture. This strange beha vior has led to the prediction of enhanced flashing for specific blends compared to the individual species and the other blends in the current numerical study. The varied levels of flashing tendencies depending on fuel composition therefore, helps in further optimization of spray and combustion research in GDI systems. In the second part, the in-nozzle simulation data will be used to run Lagrangian spray simulations with modified spray-models accounting for blended fuel effects. The additional physics due to superheated condition and multi-component mixture will be incorporated in the sub-models, which currently does not exist in the modeling framework. We achieved significant progress in both these parts in FY16 and hope to continue working on FY17 with the LCRC allocation. Industry partnership: None Project URL: http://www.transportation.anl.gov/engines/multi_dim_model_home.html Current FY Hours Used: undetermined amount New FY Requested allocation: 1000000 Q1: 250000 Q2: 250000 Q3: 250000 Q4: 250000 Justification: Our recent publication (J. Kodavasal, K. Harms, P. Srivastava, S. Som, S. Quan, K.J. Richards, M. Garcia, “Development of stiffness-based chemistry load balancing scheme, and optimization of I/O and communication, to enable massively parallel high-fidelity internal combustion engine simulations,” Journal of Energy Resource Technology; JERT-16-1022, 2016) together with MCS and Convergent Science discusses the improvements to the Converge tool that has resulted in significant improvement in scaling. Currently, we are able to scale the code up to 4096 processors on Mira with about 70% scaling efficiency for a fixed mesh size. This was achieved due to the implementation of: (1) MPI I/O, (2) Improved Communication, (3) METIS load balancing scheme, (4) Development of a new chemistry load balancing scheme. Storage requirements: 5 TB Thank You, The LCRC Accounts System