A model for sensitivity analysis of aircraft fleet evolution forecasting

Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2015.

Bibliographic Details
Main Author: Mugica, Edward A., Jr
Other Authors: R. John Hansman.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2015
Subjects:
Online Access:http://hdl.handle.net/1721.1/98693
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author Mugica, Edward A., Jr
author2 R. John Hansman.
author_facet R. John Hansman.
Mugica, Edward A., Jr
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description Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2015.
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spelling mit-1721.1/986932019-04-11T12:58:04Z A model for sensitivity analysis of aircraft fleet evolution forecasting Mugica, Edward A., Jr R. John Hansman. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics. Aeronautics and Astronautics. Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2015. Cataloged from PDF version of thesis. Includes bibliographical references (page 62). As demand for the long range and high speed travel of commercial aviation continues to grow, the economic and environmental impacts of the industry are being scrutinized. One fleet performance metric that provides insight into these economic and environmental impacts is fuel burn. The total fuel burn of the commercial fleet is strongly influenced by fleet makeup, and therefore an understanding of how the fleet evolves over time provides insight into how these impacts will progress. In order to study trends in fleet evolution, a model has been developed with the focus of providing insight on the potential effects of different input sets and modeling assumptions on the predicted make-up of the future fleet. Using this model, test case analyses are performed on inputs and assumptions of interest, including aircraft retirement strategies, aircraft procurement strategies, demand forecasts and future aircraft performance. This study considers the sensitivity of fleet evolution and fleet-wide fuel burn performance to these inputs and assumptions of interest. An analysis of retirement strategies found that assigning newer aircraft to missions that required more fuel burn increased the fuel bum savings over a strategy which did not consider the fuel burn performance of aircraft when making replacement decisions. Furthermore, a study of procurement strategies showed that procuring more fuel efficient aircraft at higher rates than less efficient aircraft created fuel burn savings, but also that the entry into service date of an aircraft had a significant impact on the market share of that aircraft. A study of future aircraft design decisions showed that producing a more efficient aircraft may not lead to overall fuel burn savings if that aircraft takes longer to produce than a less efficient aircraft over a given timeframe. Finally, a study of the growth in passenger travel showed that increasing the amount of travel provided by the commercial fleet also increased the total fuel burn of the fleet, but that it is possible to provide the same amount of travel using many low capacity flights or fewer high capacity flights without affecting fleet wide fuel burn, depending on the fuel burn performance of the aircraft considered. by Edward A Mugica Jr. S.M. 2015-09-17T19:05:19Z 2015-09-17T19:05:19Z 2015 2015 Thesis http://hdl.handle.net/1721.1/98693 920688281 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 62 pages application/pdf Massachusetts Institute of Technology
spellingShingle Aeronautics and Astronautics.
Mugica, Edward A., Jr
A model for sensitivity analysis of aircraft fleet evolution forecasting
title A model for sensitivity analysis of aircraft fleet evolution forecasting
title_full A model for sensitivity analysis of aircraft fleet evolution forecasting
title_fullStr A model for sensitivity analysis of aircraft fleet evolution forecasting
title_full_unstemmed A model for sensitivity analysis of aircraft fleet evolution forecasting
title_short A model for sensitivity analysis of aircraft fleet evolution forecasting
title_sort model for sensitivity analysis of aircraft fleet evolution forecasting
topic Aeronautics and Astronautics.
url http://hdl.handle.net/1721.1/98693
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