Journal article
Predictive Model Development for Aviation Black Carbon Mass Emissions from Alternative and Conventional Fuels at Ground and Cruise
Environmental science & technology, Vol.50(21), pp.12048-12055
11/01/2016
Handle:
https://hdl.handle.net/2376/125284
PMID: 27684524
Appears in Aviation Sustainability Center (ASCENT)
Abstract
The first order approximation (FOA3) currently employed to estimate BC mass emissions underpredicts BC emissions due to inaccuracies in measuring low smoke numbers (SNs) produced by modern high bypass ratio engines. The recently developed Formation and Oxidation (FOX) method removes the need for and hence uncertainty associated with (SNs), instead relying upon engine conditions in order to predict BC mass. Using the true engine operating conditions from proprietary engine cycle data an improved FOX (ImFOX) predictive relation is developed. Still, the current methods are not optimized to estimate cruise emissions nor account for the use of alternative jet fuels with reduced aromatic content. Here improved correlations are developed to predict engine conditions and BC mass emissions at ground and cruise altitude. This new ImFOX is paired with a newly developed hydrogen relation to predict emissions from alternative fuels and fuel blends. The ImFOX is designed for rich-quench-lean style combustor technologies employed predominately in the current aviation fleet.
Metrics
13 Record Views
Details
- Title
- Predictive Model Development for Aviation Black Carbon Mass Emissions from Alternative and Conventional Fuels at Ground and Cruise
- Creators
- Joseph P Abrahamson - Pennsylvania State UniversityJoseph Zelina - GE AviationM Gurhan Andac - GE AviationRandy L Vander Wal - John and Willie Leone Family Department of Energy and Mineral Engineering, Penn State University , University Park, Pennsylvania 16802, United States
- Publication Details
- Environmental science & technology, Vol.50(21), pp.12048-12055
- Academic Unit
- Aviation Sustainability Center (ASCENT); Emissions
- Grants
- 13-C-AJFE-PSU-008, Federal Aviation Administration (United States, Washington) - FAA
- Identifiers
- 99900621900301842
- Language
- English
- Resource Type
- Journal article