I agree - it is not a small project, resource-wise. Shashi ________________________________________ From: [email protected] [[email protected]] on behalf of Bair, Raymond A. [[email protected]] Sent: Friday, January 29, 2016 3:53 PM To: LCRC Allocations Admins Subject: Re: [allocations-admins] [LCRC Accounts] Project Request: OP_GCIsimulations I presume that Sibendu knows that we do not support 4 processor jobs. Besides that, this new project looks OK for 100K approval. Ray ----------------------------------------- Ray Bair Argonne National Laboratory and the University of Chicago On 1/29/16, 12:50 PM, "[email protected] on behalf of [email protected]" <[email protected] on behalf of [email protected]> wrote:

Hello,

A new project on the LCRC cluster has been requested. Please forward the information on to the LCRC Allocation sub-committee.

Applicant's name: Sibendu Som Applicant's institution: ANL Applicant's division: Energy Systems Project Name: OP_GCIsimulations Project title: Optimizing Gasoline Compression Ignition in Opposed Piston Engine Configuration with CFD Associated funding: DOE ARPAE-E Other Systems: Achates Power Inc. (API), Delphi Science: Under this ARPA-E project we have proposed to develop and demonstrate a multi-cylinder opposed piston (OP) engine operating on gasoline fuel with compression ignition. Combustion development shall be performed on a single cylinder version of Opposed Piston Gasoline Compression Ignition (OPGCI) engine heavily guided by Computational Fluid Dynamics (CFD) simulations. Engineering requirements with opposed piston motion together with scientific challenges involved in efficiently combusting gasoline fuel in this engine architecture will be tackled using high-fidelity combustion simulations and massive optimization studies. Based on our simulations, the new engine is expected to demonstrate a 30% improvement in brake thermal efficiency (BTE) over conventional light-duty diesel engines. This level of improvement with cost-effectiveness over modern diesel engines will be disruptive to the transportation industry and in-line with ARPA-E goals. Project description: Computational method: Finite volume

Programming model: CONVERGE code from Convergent Science Inc.

Scalability issues, Performance achieved either on LCRC or other systems: All the simulations will involve less than 1 million cells and we expect that they will not be run on more than 32 processors. We do not expect any scalability issues for this problem size

Experiments planned: Single cylinder opposed piston engine experiments under gasoline compression ignition mode will be performed at Argonne. Multi-cylinder engine experiments will be performed at API and spray experiments will be performed at Delphi for the injection system design.

Software requirement: Converge software (already installed on the cluster), Matlab and Ensight (Already installed on project members laptops) Technical details: ANL’s task descriptions and outcomes are provided below. 1) Injection system and spray optimization: Gasoline direct injection will be simulated to obtain boundary conditions for spray simulations. The fuel sprays will first be correlated against experimental data for liquid and vapor penetration, and cone angle. This validated fuel spray set-up will be used further for optimizing the orifice diameter, injection angle, number of injections, injector orientation etc. Since the spray formation governs the ignition and emission characteristics, it will be critical to obtain a robust set-up. 2) Piston bowl optimization: Open cycle simulations will be performed first to understand the gas exchange process through the intake and exhaust ports. Since these ports are rather non-traditional (as opposed to traditional cylinder head), it is expected that a good match with experimental data will be time consuming. Once we develop confidence on these open cycle calculations, the data will be mapped to perform closed cycle simulations for combustion chamber/bowl optimization. The piston bowl plays a critical role in initializing the tumble and swirl for this engine and a good design will enable us to obtain the efficiency improvements mentioned above. Based on CFD, the piston bowl design will be optimized and API will then manufacture the engine. 3) Determination of injection and combustion strategy: The injection and combustion strategy will be co-optimized to obtain the maximum efficiency benefits. This phase will be supported by experimental data from Argonne, API, and Delphi. It should be noted that all the results of CFD simulations are expected to be published. However, API may decide not to publish the piston bowl designs.

Size of calculations run on and/or planned for LCRC: Typical job size will be 4-16 processors and higher fidelity jobs will be run on 32 processors.

Efficiency of the code: we have demonstrated that the code scales well up to 4096 processors, however, this level of scalability is not required on this project

Expected number of project members: 5-6 Industry partnership: Achates Power Inc., Delphi Project URL: http://www.transportation.anl.gov/engines/multi_dim_model_home.html Requested allocation: 425000 Q1: 0 Q2: 100000 Q3: 200000 Q4: 125000 Justification: None Storage requirements: 1 TB

The requester has used undetermined amount hours of their initial startup project.

In addition to approving an initial amount, please specify a Category and Subcategory for this project. For a list of the current selection of approved categories, please see:

https://wiki.lcrc.anl.gov/wiki/Processes/Categories

Once the Allocation committee has approved the project, please go to the Project Management page to create it:

https://accounts.lcrc.anl.gov/projects.php

Thank You, The LCRC Accounts System

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