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Catalytic Converter Modeling on Emerging Personal Computers and Small Clusters

Award Information

Agency:
Department of Energy
Branch:
N/A
Award ID:
Program Year/Program:
2012 / STTR
Agency Tracking Number:
98633
Solicitation Year:
2012
Solicitation Topic Code:
02 a
Solicitation Number:
DE-FOA-0000577
Small Business Information
RNET TechNologies, Inc.
240 W Elmwood Drive Suite 2010 Dayton, OH 45459-4248
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2012
Title: Catalytic Converter Modeling on Emerging Personal Computers and Small Clusters
Agency: DOE
Contract: DE-FG02-12ER86517
Award Amount: $150,000.00
 

Abstract:

Numerical simulation of full-scale catalytic converters is a powerful tool for the fundamental understand- ing of their behavior but requires very expensive high performance computing resources and takes days of simulation time. Currently, due to lack of better alternatives, the knowledge gained from the simulation of a single channel is extrapolated to the entire catalytic converter. Such extrapolation is dangerous and may lead to flawed designs. Moreover, it doesnt address how the performance is altered if the converter is scaled in size. The proposed work will develop a computational tool for the simulation of full-scale catalytic converters with realistic chemistry on desktop workstations or small clusters in less than overnight turnaround time. A numerical method (and code), recently developed at OSU, that successfully demonstrated simulation of laboratory-scale catalytic converters will be revamped and optimized for industrial-scale simulations. The proposed enhancements to the existing method include, rewriting certain functionalities to multicore pro- cessors and GPGPUs, performing optimizations using semi-automatic tools, and developing application specific GUIs in collaboration with industrial partners. Commercial Applications and Other Benefits: The proposed computational will make catalytic converter modeling more useful and affordable to the industry, especially for small/mid-sized manufacturing and engineering firms. The project will help the industry meet the emissions standards and laws both in the energy and transportation sectors, thereby directly impacting the environment and human health.

Principal Investigator:

Chekuri Choundary
Dr.
937-433-2886
cchoundary@Rnet-Tech.com

Business Contact:

V. Nagarajan
Dr.
937-433-2886
vnagarajan@Rnet-Tech.com
Small Business Information at Submission:

Rnet Technologies, Inc.
240 W Elmwood Dr Suite 2010 Dayton, OH 45459-4248

EIN/Tax ID: 200098466
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
Ohio State University
1960 Kenny Road
Columbus, OH 43210-1016
Contact: