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Autor(en):
M. Lindner, J. Rosenow, S. Förster, H. Fricke
Zusammenfassung:
Aircrafts are subject to steady deterioration effects in flight operations. This concerns notably engines and airframes efficiency, but also aircrafts operating empty mass increases over time. As a consequence, the average fuel consumption is higher for the same performed flight with a deteriorated aircraft. Although these effects are already considered in operational flight plans (e.g. fuel calculations), such efficiency parameters are only rarely respected in aircraft rotation planning. In most cases, aircrafts of one fleet series were only treated as identical and are scheduled on the basis of maintenance events and other restrictions. If performance degradation and the resulting cost deviations are considered in the tail assignment process, each aircraft can be allocated to flights such that a cost minimum solution is found. This work investigates the upcoming fuel and cost saving potential by considering different aircraft efficiencies in flight planning. For this purpose, we calculate additional fuel consumption caused by several deterioration effects. By using an integrated flight scheduling and aircraft assignment model we demonstrate cost and fuel minimum rotation solutions. Our research reveals that cost savings of 22,400 kg fuel in a week for a air cargo airline are possible (on average 150 kg per reassigned flight). This assignment problem depends on different cost factors and flown distance in major and lesser in number of cycles and aircraft mass. In addition to the demonstrated saving potential, we give recommendations to consider the tail sign performance in a short term planning phase, where flight plan is almost fixed.
Veranstaltung:
Deutscher Luft- und Raumfahrtkongress 2016, Braunschweig
Verlag, Ort:
Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V., Bonn, 2016
Medientyp:
Conference Paper
Sprache:
englisch
Format:
21,0 x 29,7 cm, 10 Seiten
URN:
urn:nbn:de:101:1-201609303592
Stichworte zum Inhalt:
Flottenplanung, integrierte Optimierung
Verfügbarkeit:
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Veröffentlicht am:
30.09.2016