Conference proceeding
Aircraft Landing and Takeoff Operations Clustering for Efficient Environmental Impact Assessment
AIAA AVIATION Forum, 2020, pp.1-20
AIAA Aviation Forum (Virtual, 06/15/2020–06/19/2020)
01/01/2020
Handle:
https://hdl.handle.net/2376/120951
Appears in Aviation Sustainability Center (ASCENT)
Abstract
To maintain sustainable growth of the global air transportation industry, it is crucial to ensure that the environmental effects of landing and takeoff (LTO) operations are suitably mitigated. The foundation of any mitigation effort, however, is the capability to model these environmental effects. A modeling tool must have capabilities to accurately compute aircraft performance, as well as the resultant noise, fuel burn and emissions. The FAA's Aviation Environmental Design Tool (AEDT) offers these capabilities along with a set of predefined operations that aim to replicate how an aircraft performs an arrival or departure. These predefined procedures are a good default option but may not accurately represent the large variation in real world operating standards. On the other hand, due to resource constraints, it is impossible to model each operation uniquely in any modeling tool. The technique developed here aims to bridge that gap by using clustering methods to provide users with a set of operation definitions that retain real-world variability in a small number of definitions. This paper also shows the application of this technique for grouping of a set of 19 noise abatement departure procedures. This technique aims to help environmental modelers to develop a set of options to enhance the operational modeling in AEDT, and thus improve the accuracy of the environmental impact assessment.
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Details
- Title
- Aircraft Landing and Takeoff Operations Clustering for Efficient Environmental Impact Assessment
- Creators
- Ameya BehereLoren Isakson - Georgia Institute of TechnologyTejas G Puranik - Georgia Institute of TechnologyYongchang Li - Georgia Institute of TechnologyMichelle Kirby - Georgia Institute of TechnologyDimitri Mavris - Georgia Institute of Technology
- Publication Details
- AIAA AVIATION Forum, 2020, pp.1-20
- Conference
- AIAA Aviation Forum (Virtual, 06/15/2020–06/19/2020)
- Academic Unit
- Modeling Tools; Aviation Sustainability Center (ASCENT)
- Publisher
- WTI-Frankfurt-digital GmbH
- Grants
- 13-C-AJFE-GIT-020, Federal Aviation Administration (United States, Washington) - FAA13-C-AJFE-GIT-035, Federal Aviation Administration (United States, Washington) - FAA13-C-AJFE-GIT-042, Federal Aviation Administration (United States, Washington) - FAA
- Identifiers
- 99900621890001842
- Language
- English
- Resource Type
- Conference proceeding