Abstract
The OpenSky ADS-B/Mode-S databases have been fully integrated into a computational model that is used to estimate aircraft and rotorcraft engine emissions. This paper demonstrates the basis for the method and the generalisation to a wide class of aircraft types. First, we use mathematical operations (filters and machine learning) to clean up the data and generate first-order derivatives. Then, we “fly” these trajectories using ancillary databases and numerical methods, including models for gas turbine engine emissions (CO (Formula presented.), CO, NO (Formula presented.), SO (Formula presented.), H (Formula presented.) O, particulate matter). We show results for short-commuter flights (turboprop airplane), wide-body commercial aircraft, business jets, and helicopters. We demonstrate the main features, which include the ability to aggregate data depending on city-pairs, flight distance, and altitude distribution of emissions.
| Original language | English |
|---|---|
| Article number | 11 |
| Journal | Engineering Proceedings |
| Volume | 13 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2022 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 11 Sustainable Cities and Communities
Keywords
- ADS-B
- aircraft emissions
- flight performance
- helicopter emissions
Fingerprint
Dive into the research topics of 'Using the OpenSky ADS-B Data to Estimate Aircraft Emissions †'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver