Hello, A yearly allocation for the LCRC cluster has been requested with the following updated information: Submitter/PI: Riccardo Scarcelli Project Name: ignition-plasma Division: ES Project title: Advanced Modeling for Non-Equilibrium Plasma Associated funding: DOE Vehicle Technologies Program Office Other Systems: Science: Advanced technologies involving non-equilibrium plasmas require extensive computational effort due to the total absence of models that can describe those technologies in computational fluid dynamics (CFD) codes typically used for internal combustion engine (ICE) simulations. The ultimate goal of this project is to expand, build, and validate, advanced ignition models that can comprehensively evaluate potentially any kind of ignition system. However the current focus of this research effort is to build proper fundamental understanding of the physics of ignition plasmas, especially for non-conventional technologies that are relatively novel applications in the automotive field. Characteristics and reaction mechanisms of various ignition plasmas are to be investigated. Advanced experimental diagnostics including optical engine tests (Sandia), calorimetry (Sandia), and x-ray radiography (APS, Argonne) will help to characterize and validate the simulated plasma formation and ignition events. Project description: There are two major goals for this project: • Improve the fundamental understanding of the physics and chemistry of non-equilibrium plasma • Build novel ignition models that allow simulating non-equilibrium plasmas within a CFD engine framework Simulations will be primarily carried out with the commercial solver VizGlow. The characteristics of non-equilibrium plasmas will be analyzed as an effect of the mixture thermodynamic properties (pressure, temperature, composition) as well as of the boundary conditions (pulse width and peak voltage) and electrodes’ geometry. A different type of simulations will also be performed with CONVERGE to expand the current ignition models for engine simulations and account for ignition by non-thermal plasma. Typical jobs run under this project will require 16 or 32 (Vizglow) and 48 or 64 (CONVERGE) cores respectively, yielding an estimation of quarterly core-hrs requirement of 32 cores (low end) x 24 hrs x 90 days x 4 jobs = 276,500. Hence, 225,000 core-hrs per quarter are requested for FY2018 for this project. The efforts will be distributed evenly throughout the year. Industry partnership: Project URL: Current FY Hours Used: undetermined amount New FY Requested allocation: 900000 Q1: 225000 Q2: 225000 Q3: 225000 Q4: 225000 Justification: Scalability tests recently performed with VizGlow on Blues have shown acceptable efficiency on up to 32 cores on a relatively coarse mesh. Scalability performance are expected to improve with finer meshes and 3-D calculations (larger amount of computational cells): First 1 nanosecond of low-pressure pulsed discharge in air 8 cores – walltime = 1380 sec 16 cores – walltime = 776 sec 89% 32 cores – walltime = 478 sec 72% Scalability tests recently performed with CONVERGE on Blues have shown acceptable efficiency on up to 48 cores: Simulation of engine single-cylinder – 10 crank angle degrees – RANS 1 node (16 cores) – walltime = 460 sec 2 nodes (32 cores) – walltime = 270 sec 85% 3 nodes (48 cores) – walltime = 210 sec 73% Storage requirements: The project currently has 4TB of storage would like to request to increase the allocation to 5TB to handle the increasing results and new simulation jobs. Thank You, The LCRC Accounts System