Hello, A change in allocation has been requested: Requester: ksaha (Kaushik Saha) Project: Denso_simulations Title: Numerical Investigation of Effectiveness of Enriched Nitrogen and Oxygen Using Air Separation Membranes for Internal Combustion Engines Description: With the use of parallel processing and highly-scalable CFD solvers, industry and scientific community have made remarkable progress towards the development of modern engine technologies. Argonne National Laboratory has demonstrated ASM technology on various engine platforms ranging from a passenger car to a locomotive research engine. It also has a suite of patents using this technology. In order to expand the benefits of ASMs by utilizing both enriched streams sequentially in a combustion cycle, we propose to explore new combustion concepts by partnering with DENSO. The objective of this project is to develop an intake system for an engine which can, through an innovative design, utilize both the nitrogen-rich and oxygen-rich streams produced by an ASM. To this end, high performance computing (HPC) resources, engine testing facilities, and staff expertise will be used from Argonne. Activities will include: Model development using CONVERGE to study the oxygen and nitrogen rich pockets within an engine combustion chamber, flow characteristics, gas introduction methods and evaluating optimal conditions/settings for best engine performance. The CFD team for engine research at Argonne has been in the forefront of nozzle flow, spray, and combustion research for the last 5 years. They work directly with the software developers to enhance the codes used to model flow and combustion in engines using supercomputer and HPC clusters to solve complex problems in short order. Full 360˚ computational geometry needs to be considered for these proof-of-concept simulations. Zone wise initializations will be done by putting Oxygen at the core and Nitrogen as the surrounding layer. At the initial stage closed cycle and non-combusting simulations will be performed to understand the diffusion process under the influence of piston movement and get estimates of diffusion time-scales for various parametric cases. With more understanding of the diffusion processes, simulations will involve fuel injection and combustion with the focus on evaluating NOx emission reduction and combustion efficiency (considering minimization of wall hea t transfer losses etc.). Since the focus is to identify optimum settings on the gas cloud distribution, several parametric simulations will be performed. Some of these envisaged parametric investigations are noted below: (1) the influence of the swirl induced flow on the gas cloud distribution will be investigated, (2) the influence of engine speed on the results will be investigated since at low speeds due to high residence times, the cloud distribution is expected to be homogeneous while at high engine speeds due to low residence times the cloud distribution may be very heterogeneous, (3) the influence of injection timing and location of O2 on the overall gas cloud distribution will be investigated, (4) Although the conceptual design shows a flat piston head, the influence of a shaped bowl on the gas cloud distribution will be investigated, (5) since diffusion of gases may be governed by temperature gradients also, the influence of heated and cooled gas injections on the gas cloud formation will b e investigated. Overall, it is expected that more than 100 simulations will be performed based on a design of experiments (DoE) approach and the results will be documented. For combustion cases, several design constraints with regards to the location of a diesel fuel injector on the cylinder head and the N2 and O2 ports etc. will need to be optimized. The specific methods used for the multi-phase, reacting flow simulations with moving boundaries will include: 1) Finite volume schemes 2) RANS turbulence models 3) CONVERGE software is being used - 2 base and unlimited child licenses available Current: undetermined amount Justification: more than 70% scaling up to 128 processors Requested: 150000 A specific reason has been given: My project Denso_simulations has approximately 14841 core hours left. Very soon I will run out of core hours. We have a deadline by the end of March 2015. We are planning to run full engine geometry simulations along with extensive combustion analysis on the Fusion cluster. This would require considerable amount of core hours. This needs to be approved and the final allocation amount decided upon. Thank You, The LCRC Accounts System