Development of Demonstrably Predictive Models for Emissions from Alternative Fuels Based Aircraft Engines
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 2017
- Accession Number
- AD1035811
Entities
People
- Heinz Pitsch
- Michael Frenklach
- Noel Clemens
- Venkat Raman
Organizations
- University of Texas at Austin