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Research Spending & Results

Award Detail

Awardee:YALE UNIVERSITY
Doing Business As Name:Yale University
PD/PI:
  • Charles McEnally
  • (203) 432-4059
  • charles.mcenally@yale.edu
Award Date:11/17/2017
Estimated Total Award Amount: $ 50,000
Funds Obligated to Date: $ 50,000
  • FY 2018=$50,000
Start Date:01/01/2018
End Date:12/31/2018
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.041
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:I-Corps: Flame Luminosity Analyzer for Measuring Sooting Tendency of Fuels
Federal Award ID Number:1806146
DUNS ID:043207562
Parent DUNS ID:043207562
Program:I-Corps
Program Officer:
  • Steven Konsek
  • (703) 292-7021
  • skonsek@nsf.gov

Awardee Location

Street:Office of Sponsored Projects
City:New Haven
State:CT
ZIP:06520-8327
County:New Haven
Country:US
Awardee Cong. District:03

Primary Place of Performance

Organization Name:Yale University
Street:SEAS - Mason Lab
City:New Haven
State:CT
ZIP:06520-8286
County:New Haven
Country:US
Cong. District:03

Abstract at Time of Award

The broader impact/commercial potential of this I-Corps project is to create a product that will facilitate assessment of transportation fuels to ensure they will pass fuel specification tests. In particular, the project will provide a device that producers can use to more accurately determine whether their fuels will meet the specifications for soot/smoke emissions and should create a framework that allows fuel specifications for particulate matter (PM) emissions to be defined more precisely. This will benefit the fuels industry by reducing costs and increasing certainty. It will also enable them to confidently introduce alternative fuels that have lower PM emissions. This I-Corps project further develops an instrument that characterizes the sooting propensity of a fuel by its soot luminosity. Unlike the methods currently in use, this technology allows a quantitative measurement to be fully automated and performed online. It will deliver more accurate results faster than existing qualitative methods while requiring less sample. Extensive academic research has verified that this approach correctly detects the effect of fuel composition on PM emissions. This I-Corps project will explore the commercial potential of this instrument across a variety of potential customer segments.

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