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Virginia Tech

Global Commercial Aircraft Fuel Burn and Emissions Forecast: 2016 to 2040

Abstract

dc:description.abstract

This thesis discusses enhancements to the Global Demand Model (GDM). The model addresses the need to predict: a) number of flights Worldwide by Origin-Destination (OD) airport pair, b) the number of seats (surrogate of demand) by OD airport pair, c) the fleet evolution over time, d) fuel consumption by OD pair and aircraft type, and emissions by OD pair and aircraft type. The model has developed an airline fleet assignment module to predict changes to the airline fleet in the future. Specifically, the model has the capability to examine the fuel and emission benefits of next generation N+1 aircraft and advanced NASA's N+2 aircraft are adopted in the future.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Civil Engineering
Department dc:contributor.department
Civil and Environmental Engineering
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Padalkar, Rahul Rajaram
Chair dc:contributor.committeechair
  • Trani, Antonio A.
Committee members dc:contributor.committeemember
  • Flintsch, Gerardo W.
  • Abbas, Montasir M.

Subjects

dc:subject × 6

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:12789
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/79661

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Padalkar, Rahul Rajaram. Global Commercial Aircraft Fuel Burn and Emissions Forecast: 2016 to 2040. masters thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/79661