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

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dc.contributor.authorPadalkar, Rahul Rajaramen
dc.contributor.committeechairTrani, Antonio A.en
dc.contributor.committeememberFlintsch, Gerardo W.en
dc.contributor.committeememberAbbas, Montasir M.en
dc.contributor.departmentCivil and Environmental Engineeringen
dc.date.accessioned2017-10-14T08:00:27Zen
dc.date.available2017-10-14T08:00:27Zen
dc.date.issued2017-10-13en
dc.description.abstractThis 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.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:12789en
dc.identifier.urihttp://hdl.handle.net/10919/79661en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectSimulation Modelen
dc.subjectFuel Consumptionen
dc.subjectEmissions Modelen
dc.subjectNASA's N+2 Vehiclesen
dc.subjectN+1 New Generation Aircraften
dc.subjectTPADS Tableen
dc.titleGlobal Commercial Aircraft Fuel Burn and Emissions Forecast: 2016 to 2040en
dc.typeThesisen
thesis.degree.disciplineCivil Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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