Using the OpenSky ADS-B Data to Estimate Aircraft Emissions

Filippone, Antonio; Bojdo, Nicholas; Mehta, S.F.; Parkes, Ben

doi:10.3390/engproc2021013011

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…A range of mass between 60% and 90% of the maximum take-off mass was used. Similar studies for global emission modeling from ADS-B are also studied in [13][14][15][16].…”

Section: Background and Literature Reviewmentioning

confidence: 96%

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Fuel Burn Method Assessment Using Automatic Dependent Surveillance–Broadcast and European Reanalysis Data: Limited Flight Sample Analysis

Krajček Nikolić,

Papoči,

Nikolić

et al. 2024

Aerospace

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Fuel burn during the actual route flown is an important indicator of aircraft operational efficiency. This study aims to assess and systematically evaluate the method for fuel consumed during flights using data from the automatic dependent surveillance–broadcast (ADS-B), European reanalysis (ERA5) meteorological dataset, and BADA 3 performance. A literature background and comprehensive methodology are provided for fuel estimation using track data. The airborne part of the trajectory was used to estimate the total trip fuel consumed during several flights of a commercial airliner. The calculated fuel burn is compared with measured fuel consumption from the flight data recorder (FDR). The results show that fuel consumption for the entire airborne part of the trajectory can be estimated with an average error of 1.2% and with a standard deviation of 1.3%. Detailed results of fuel burn for individual flight phases, from the initial climb to the approach, are also presented. In addition, this paper also discusses the sources of errors and the potential applications of the method for network operations and environmental monitoring.

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“…A range of mass between 60% and 90% of the maximum take-off mass was used. Similar studies for global emission modeling from ADS-B are also studied in [13][14][15][16].…”

Section: Background and Literature Reviewmentioning

confidence: 96%

“…In papers by Filippone et al [15,16], real-time ADS-B data from OpenSky network were integrated with flight performance computer program FLIGHT [17] to predict aviation emissions at altitude. They used ADS-B with Mode S to fly the route and calculate aircraft emissions based on the ability to calculate thrust.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

Fuel Burn Method Assessment Using Automatic Dependent Surveillance–Broadcast and European Reanalysis Data: Limited Flight Sample Analysis

Krajček Nikolić,

Papoči,

Nikolić

et al. 2024

Aerospace

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Estimating Aircraft Take-Off Roll Time Using ADS-B Data

Stloukal,

Hospodka

2024

2024 New Trends in Civil Aviation (NTCA)

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The high-resolution Global Aviation emissions Inventory based on ADS-B (GAIA) for 2019–2021

Teoh,

Engberg,

Shapiro

et al. 2024

Atmos. Chem. Phys.

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Abstract. Aviation emissions that are dispersed into the Earth's atmosphere affect the climate and air pollution, with significant spatiotemporal variation owing to heterogeneous aircraft activity. In this paper, we use historical flight trajectories derived from Automatic Dependent Surveillance–Broadcast (ADS-B) telemetry and reanalysis weather data for 2019–2021 to develop the Global Aviation emissions Inventory based on ADS-B (GAIA). In 2019, 40.2 million flights collectively travelled 61 billion kilometres using 283 Tg of fuel, leading to CO2, NOX and non-volatile particulate matter (nvPM) mass and number emissions of 893 Tg, 4.49 Tg, 21.4 Gg and 2.8 × 1026 respectively. Global responses to COVID-19 led to reductions in the annual flight distance flown and CO2 and NOX emissions in 2020 (−43 %, −48 % and −50 % respectively relative to 2019) and 2021 (−31 %, −41 % and −43 % respectively), with significant regional variability. Short-haul flights with durations < 3 h accounted for 83 % of all flights but only for 35 % of the 2019 CO2 emissions, while long-haul flights with durations > 6 h (5 % of all flights) were responsible for 43 % of CO2 and 49 % of NOX emissions. Globally, the actual flight trajectories flown are, on average, ∼ 5 % greater than the great circle path between the origin and destination airports, but this varies by region and flight distance. An evaluation of 8705 unique flights between London and Singapore showed large variabilities in the flight trajectory profile, fuel consumption and emission indices. GAIA captures the spatiotemporal distribution of aviation activity and emissions and is provided for use in future studies to evaluate the negative externalities arising from global aviation.

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Using the OpenSky ADS-B Data to Estimate Aircraft Emissions

Cited by 3 publications

References 15 publications

Fuel Burn Method Assessment Using Automatic Dependent Surveillance–Broadcast and European Reanalysis Data: Limited Flight Sample Analysis

Fuel Burn Method Assessment Using Automatic Dependent Surveillance–Broadcast and European Reanalysis Data: Limited Flight Sample Analysis

Estimating Aircraft Take-Off Roll Time Using ADS-B Data

The high-resolution Global Aviation emissions Inventory based on ADS-B (GAIA) for 2019–2021

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