NASA SBIR 2017 Solicitation

FORM B - PROPOSAL SUMMARY


PROPOSAL NUMBER: 171 A1.03-9836
SUBTOPIC TITLE: Low Emissions Propulsion and Power-Turboelectric and Hybrid Electric Aircraft Propulsion
PROPOSAL TITLE: A Software Toolkit to Accelerate Emission Predictions for Turboelectric/Hybrid Electric Aircraft Propulsion

SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
Combustion Research and Flow Technology
6210 Keller's Church Road
Pipersville, PA 18947 - 1020
(215) 766-1520

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Dr. Andrea Zambon
azambon@craft-tech.com
6210 Keller's Church Rd.
Pipersville, PA 18947 - 1020
(215) 766-1520 Extension :46

CORPORATE/BUSINESS OFFICIAL (Name, E-mail, Mail Address, City/State/Zip, Phone)
Ms. Katherine Young
youngk@craft-tech.com
6210 Keller's Church Road
Pipersville, PA 18947 - 1020
(215) 766-1520

Estimated Technology Readiness Level (TRL) at beginning and end of contract:
Begin: 3
End: 4

Technology Available (TAV) Subtopics
Low Emissions Propulsion and Power-Turboelectric and Hybrid Electric Aircraft Propulsion is a Technology Available (TAV) subtopic that includes NASA Intellectual Property (IP). Do you plan to use the NASA IP under the award?
No

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
Electric propulsion represents an attractive path for reducing overall emissions. For larger commercial aircrafts operating in the mega-watt range, power turboelectric and hybrid electric aircraft propulsion will continue to rely on gas turbine engines/generators to provide part of the thrust, charging batteries and driving generators. As a result, reduction of emissions such as oxides of nitrogen (NOx) remains a key concern. The innovation proposed is a software toolkit supporting high-fidelity yet computationally-tractable predictions of NOx emissions and other pollutants in gas-turbine engines/generators within the context of unsteady Computational Fluid Dynamics (CFD) simulations. A well-known difficulty limiting the accurate prediction of NOx levels in turbulent flames is related to the fact that NOx production can evolve through several different chemical pathways characterized by drastically different time scales. In this regard, the overall objective of the proposed SBIR program is to develop and implement an accurate modeling extension to CRAFT Tech?s parameterized LEM-CF turbulent combustion modeling framework to address pollutant formation such as NOx in a computationally-tractable manner and by capturing the relevant characteristic chemical time scales. The Phase I effort is intended to build the foundation of the proposed software toolkit by addressing the feasibility of the key attributes of predictive accuracy, computational efficiency, software portability and general applicability.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
This product addresses NASA Aeronautics Research Mission Directorate (ARMD) core needs for enabling safe and reliable operation of next-generation (e.g., N+3 generation and beyond) ultra low-emission power turboelectric and hybrid electric aircraft propulsion, where gas turbine engines will continue to play a critical role. With increasingly stringent environmental regulations, reduction of emissions, including NOx, remains a key concern, in particular for larger aircrafts operating in the mega-watt range. This product also addresses core needs of NASA?s vision for next-generation aircraft systems with hybrid integrated wing/body systems that feature significant improvements in engine performance, emissions and noise reduction. Since low-emission gas turbine engines/generators tend to operate at fuel lean conditions near the flame lean blow-out limit while avoiding the occurrence of combustion instability, a detailed understanding of flame dynamics and unsteady combustion effects is required to develop fuel-efficient, low-emission, stable combustor designs. In this regard, advanced CFD design tools can provide fundamental physical insight that is difficult or cost-prohibitive to obtain experimentally. Given the inherent modularity of the LEM-CF approach, interfacing with the National Combustion Code (NCC) will provide NASA with a powerful design support tool.

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The commercial market for this product includes the broad aerospace, power-generation and defense industry. The primary driver for the commercial market for this product is represented by commercial aircraft gas turbine engines. The proposed software toolkit directly addresses the resulting increased demand for high-fidelity design tools that accurately characterize emissions and unsteady combustion effects and will benefit commercial gas turbine OEMs (both commercial and military) by providing them with a powerful and tractable supplement to minimize the need for experimental testing. Other applications encompass power-generation turbines and internal combustion, HCCI and diesel engines, e.g., using engine recirculation (EGR) devices to mitigate harmful NOx production. DoD applications include the design of gas-turbine engines, scramjets, pulse-detonation-engines (PDEs), augmentors, UAVs propulsion systems and rocket engines. Of particular relevance is the Army single fuel policy mandate to use jet fuel in ground vehicle diesel engines to simplify the supply chain logistics in the battle space and to strengthen domestic energy security. Also noteworthy is the DoD growing interest in fuel blends with alternative or renewable fuels, e.g., synthetic paraffinic kerosene or camelina-derived bio-fuel, as an acceptable form of "drop-in" fuels.

TECHNOLOGY TAXONOMY MAPPING (NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.)
Generation
Models & Simulations (see also Testing & Evaluation)
Simulation & Modeling
Software Tools (Analysis, Design)
Support

Form Generated on 04-19-17 12:59