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Predictive Model Development for Aviation Black Carbon Mass Emissions from Alternative and Conventional Fuels at Ground and Cruise

Overview of attention for article published in Environmental Science & Technology, October 2016
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Article details
Title
Predictive Model Development for Aviation Black Carbon Mass Emissions from Alternative and Conventional Fuels at Ground and Cruise
Published in
Environmental Science & Technology, October 2016
DOI 10.1021/acs.est.6b03749
Pubmed ID
Authors
Abstract

The first order approximation (FOA3) currently employed to estimate BC mass emissions under predicts 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.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Switzerland 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 9 25%
Student > Master 4 11%
Researcher 4 11%
Unspecified 3 8%
Student > Bachelor 2 6%
Other 5 14%
Unknown 9 25%
Readers by discipline
Readers by discipline Count As %
Engineering 11 31%
Unspecified 3 8%
Environmental Science 3 8%
Chemistry 2 6%
Business, Management and Accounting 1 3%
Other 4 11%
Unknown 12 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 August 2017.
All research outputs
#16,779,632
of 27,521,156 outputs
Outputs from Environmental Science & Technology
#16,622
of 22,233 outputs
Outputs of similar age
#172,206
of 313,452 outputs
Outputs of similar age from Environmental Science & Technology
#156
of 250 outputs
Altmetric has tracked 27,521,156 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,233 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.9. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 313,452 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 250 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.