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  5. Emissions characterization tests for hydrotreated renewable jet fuel from used cooking oil and its blends

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Article
English
2017

Emissions characterization tests for hydrotreated renewable jet fuel from used cooking oil and its blends

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English
2017
Applied Energy
Vol 201
DOI: 10.1016/j.apenergy.2017.05.104

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Agustin Valera Medina
Agustin Valera Medina

Cardiff University

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Marco Buffi
Agustin Valera Medina
Richard Marsh
+4 more

Abstract

Experimental trials have been conducted using an optical swirl burner to compare the heat release and emission profiles from the application of four different aviation fuel blends with changing inlet conditions. The mixtures comprised fossil Jet A-1 and a HRJ (Hydrotreated Renewable Jet fuel) batch produced from used cooking oil processing, and blended in discrete ratios. Changes in the produced emissions were quantified with varying combustor pressure and equivalence ratio, in addition to analysing the distribution of combustion heat release using OH∗ chemiluminescence, and monitoring operational rig temperatures. Results suggest the presence of HRJ can reduce emissions and lead to a more compacted and homogenous heat release zone, beneficial as localised hot-spots can lead to the generation of soot and thermal NOx. An increase in pressure was also shown to compact the flame brush at constant thermal power, due to density changes in the combustion air, and reduced bulk flow. The presented heat release distributions and experimental data are useful for the validation of numerical simulations, particularly for the use of alternative fuels. The work also highlights the correlation of flow/acoustic perturbations with heat release, crucial in characterising global combustion behaviour.

How to cite this publication

Marco Buffi, Agustin Valera Medina, Richard Marsh, D. Pugh, Anthony Giles, Jon Runyon, David Chiaramonti (2017). Emissions characterization tests for hydrotreated renewable jet fuel from used cooking oil and its blends. Applied Energy, 201, pp. 84-93, DOI: 10.1016/j.apenergy.2017.05.104.

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Publication Details

Type

Article

Year

2017

Authors

7

Datasets

0

Total Files

0

Language

English

Journal

Applied Energy

DOI

10.1016/j.apenergy.2017.05.104

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