Emission Impacts from Sustainable Aviation Fuel Blends via Engine Plume Measurements and Predictive Modeling at the Airport Scale

Sustainable aviation fuels (SAFs) are receiving increasingly high attention by science, industry, and politics as they are considered an effective tool to reduce the impact of aviation on the climate system and air quality. While numerous experimental studies on the effects of SAFs were performed, these are often limited to specific test scenarios or engine measurements. This work combines predictions based on the DLR SimFuel platform with field data from the first campaign to investigate a 34% hydrotreated esters and fatty acids (HEFA) SAF blend under real-world operating conditions during regular passenger flights. For this purpose, an Airbus A320-251N flying between Copenhagen and Arlanda was fueled with conventional Jet A-1 for 30 flights during 1 week and with a 34% HEFA SAF blend for 85 flights in 2 weeks. The corresponding exhaust gas plumes during taxiing were analyzed by the DLR mobile lab. Equipped with state-of-the-art instruments, this analysis contains total and non-volatile particle number concentrations and size distribution, gas analytics (CO<sub>2</sub> and NO <sub><i>x</i></sub> ), and weather parameters. The results confirm the beneficial effects of SAF usage toward the air quality by reducing total particle emissions by about 10% and non-volatile particle emissions by about 40%. Also, this data set obtained under real-world conditions provides a valuable basis for model development and validation.

Authors

Institutions

Publication Details

Journal
Energy & Fuels
Published
2026-02-23
DOI
https://doi.org/10.1021/acs.energyfuels.5c05413
Primary Topic
Advanced Aircraft Design and Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Emission Impacts from Sustainable Aviation Fuel Blends via Engine Plume Measurements and Predictive Modeling at the Airport Scale

Steffen Schmitt, Tobias Grein, Tobias Schripp, Benedict Enderle et al.
Energy & Fuels
Advanced Aircraft Design and Technologies
article

Emission Impacts from Sustainable Aviation Fuel Blends via Engine Plume Measurements and Predictive Modeling at the Airport Scale

Steffen Schmitt, Tobias Grein, Tobias Schripp, Benedict Enderle, Kohler Markus, Nina Gaiser, Peter W. Holm, Sabrina T. K. Jensen
article en

Abstract

Sustainable aviation fuels (SAFs) are receiving increasingly high attention by science, industry, and politics as they are considered an effective tool to reduce the impact of aviation on the climate system and air quality. While numerous experimental studies on the effects of SAFs were performed, these are often limited to specific test scenarios or engine measurements. This work combines predictions based on the DLR SimFuel platform with field data from the first campaign to investigate a 34% hydrotreated esters and fatty acids (HEFA) SAF blend under real-world operating conditions during regular passenger flights. For this purpose, an Airbus A320-251N flying between Copenhagen and Arlanda was fueled with conventional Jet A-1 for 30 flights during 1 week and with a 34% HEFA SAF blend for 85 flights in 2 weeks. The corresponding exhaust gas plumes during taxiing were analyzed by the DLR mobile lab. Equipped with state-of-the-art instruments, this analysis contains total and non-volatile particle number concentrations and size distribution, gas analytics (CO<sub>2</sub> and NO <sub><i>x</i></sub> ), and weather parameters. The results confirm the beneficial effects of SAF usage toward the air quality by reducing total particle emissions by about 10% and non-volatile particle emissions by about 40%. Also, this data set obtained under real-world conditions provides a valuable basis for model development and validation.

Energy & FuelsVol. 40(9)
Rosneft (Russia) (RU), Combustion Institute (US), Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
Deutsches Zentrum für Luft- und Raumfahrt, Zürcher Hochschule für Angewandte Wissenschaften
Openalex Percentile: Top 62%
Advanced Aircraft Design and Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.