Preliminary AEDT Noise Model Validation using Real-World Data

Willitt, Amber; Bendarkar, Mayank V; Bhanpato, Jirat; Kirby, Michelle; Abelezele, Sabastian; Mavris, Dimitri N; United States. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment; Georgia Institute of Technology. Aerospace Systems Design Laboratory

doi:10.2514/6.2024-2107

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Preliminary AEDT Noise Model Validation using Real-World Data

2024-01-01
By Willitt, Amber ; Bendarkar, Mayank V ; Bhanpato, Jirat ; ...

[PDF-4.71 MB]

English

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Creators:

Willitt, Amber ; Bendarkar, Mayank V ; Bhanpato, Jirat ; Kirby, Michelle ; Abelezele, Sabastian ; ... More +

Willitt, Amber ; Bendarkar, Mayank V ; Bhanpato, Jirat ; Kirby, Michelle ; Abelezele, Sabastian ; Mavris, Dimitri N Less -
Corporate Creators:

United States. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment ; Georgia Institute of Technology. Aerospace Systems Design Laboratory

United States. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment ; Georgia Institute of Technology. Aerospace Systems Design Laboratory Less -
Corporate Contributors:

United States. Department of Transportation. Federal Aviation Administration. Office of Environment and Energy
Subject/TRT Terms:

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Accuracy Aircraft Noise ASCENT Flight Recorders Real Time Data Processing Validation
Publication/ Report Number:

AIAA 2024-2107
DOI:

https://doi.org/10.2514/6.2024-2107
Resource Type:

Proceedings
Right Statement:

Open Access; https://creativecommons.org/licenses/by/4.0/
Geographical Coverage:

United States
Corporate Publisher:

American Institute of Aeronautics and Astronautics, Inc
Abstract:

A focus on sustainability in aviation is required to mitigate the environmental impact of its growth. Modeling the environmental effects helps the aerospace community obtain quantitative data linked to aircraft emissions and noise. The Aviation Environmental Design Tool (AEDT) offers the capability to model aviation operations using data sources of differing fidelity and is used worldwide for quantifying emissions and noise impacts of such operations. As a result, validating the accuracy of AEDT is of vital importance for continuous sustainability efforts. This paper presents preliminary results of AEDT noise model validation at the San Francisco International Airport (SFO). The overall sensitivity of noise predictions to varying assumptions within AEDT is explored and quantified using a set of real-world flights modeled within it. This is achieved by utilizing routine Flight Operations Quality Assurance (FOQA) data records from airline operations, noise monitoring data from various stations around the SFO airport, and various weather data sources. The outcomes of this validation study are expected to benefit the developers of AEDT to produce a more accurate noise model.
Content Notes:

This is an open access conference proceeding under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/. Please cite this article as: Amber Willitt, Mayank V. Bendarkar, Jirat Bhanpato, Michelle Kirby, Sabastian Abelezele and Dimitri N. Mavris, "Preliminary AEDT Noise

Model Validation using Real-World Data", AIAA 2024-2107, AIAA SciTech Forum 2024, Orlando, FL, https://doi.org/10.2514/6.2024-2107
Format:

PDF
Funding:

13-C-AJFE-GIT-061
Collection(s):

Federal Aviation Administration
Main Document Checksum:

[+]

urn:sha256:76b08cbdb805261b5322e804afb949e5168c735467da4d91b5b19e890bc917a2
Download URL:

https://rosap.ntl.bts.gov/view/dot/73688/dot_73688_DS1.pdf
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Preliminary AEDT Noise Model Validation using Real-World Data

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