Accession Number : AD1035811

Title :   Development of Demonstrably Predictive Models for Emissions from Alternative Fuels Based Aircraft Engines

Descriptive Note : Technical Report

Corporate Author : The University of Texas at Austin Austin United States

Personal Author(s) : Raman, Venkat ; Clemens,Noel ; Frenklach,Michael ; Pitsch,Heinz

Full Text :

Report Date : 01 May 2017

Pagination or Media Count : 169

Abstract : Renewable bio-derived alternative fuels provide viable options for reducing net greenhouse gas emissions, while increasing energy security by relying on locally-sourced feedstock. Unlike conventional aircraft fuels, which maintain tight bounds on fuel specs, such as physical and chemical properties, alternative fuels might have widely varying composition and properties. This variability introduces uncertainty in their utility, both for fuel certification purposes and their ultimate use as transportation fuel. Hence, the practical use of alternative fuels is predicated on the availability of reliable tools that can estimate performance given some basic information about the physical and chemical composition. In this program, this issue of predictability of fuel performance is addressed. The overarching objective is to develop physics-based models that are fuel-composition sensitive, such that aircraft combustors can be directly simulated to estimate emissions performance.

Descriptors :   AIRCRAFT ENGINES , alternative fuels , surface chemistry , soot , turbulent mixing , laser induced fluorescence , boundary layer , chemical kinetics , aircrafts , EDDIES (FLUID MECHANICS) , chemical reactions , simulations

Subject Categories : Fuels

Distribution Statement : APPROVED FOR PUBLIC RELEASE