Aircraft Fuel Consumption – Estimation and Visualization (doi:10.7910/DVN/2HMEHB)
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Part 2: Study Description
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Document Description

Citation

Title:

Aircraft Fuel Consumption – Estimation and Visualization

Identification Number:

doi:10.7910/DVN/2HMEHB

Distributor:

Harvard Dataverse

Date of Distribution:

2017-12-15

Version:

2

Bibliographic Citation:

Burzlaff, Marcus, 2017, "Aircraft Fuel Consumption – Estimation and Visualization", https://doi.org/10.7910/DVN/2HMEHB, Harvard Dataverse, V2

Study Description

Citation

Title:

Aircraft Fuel Consumption – Estimation and Visualization

Alternative Title:

Links to all related documents:

Identification Number:

doi:10.7910/DVN/2HMEHB

Authoring Entity:

Burzlaff, Marcus (Hamburg University of Applied Science)

Other identifications and acknowledgements:

Scholz, Dieter

Date of Production:

2017-12-13

Software used in Production:

Excel

Distributor:

Harvard Dataverse

Access Authority:

Scholz, Dieter

Depositor:

Scholz, Dieter

Date of Deposit:

2017-12-15

Series Name:

Digital Library - Projects and Theses - Prof. Dr. Scholz

Holdings Information:

https://doi.org/10.7910/DVN/2HMEHB

Study Scope

Keywords:

Engineering, aviation, commercial, aircraft, passenger, flight mechanic, Breguet equation, fuel, consumption, fuel burn, payload, range, airport planning document, long-haul, environment

Abstract:

In order to uncover the best kept secret in today’s commercial aviation, this project deals with the calculation of fuel consumption of aircraft. With only the reference of the aircraft manufacturer’s information, given within the airport planning documents, a method is established that allows to computing values for the fuel consumption of every aircraft in question. The aircraft's fuel consumption per passenger and 100 flown kilometers decreases rapidly with range, until a near constant level is reached around the aircraft’s average range. At longer range, where payload reduction becomes necessary, fuel consumption increases significantly. Numerical results are visualized, explained, and discussed. With regard to today’s increasing number of long-haul flights, the results are investigated in terms of efficiency and viability. The environmental impact of burning fuel is not considered in this report. The presented method allows calculating aircraft type specific fuel consumption based on publicly available information. In this way, the fuel consumption of every aircraft can be investigated and can be discussed openly.

Kind of Data:

Program

Notes:

The related publication (project work) considers the reserves as part of the consumed fuel, which is wrong. Furthermore, it ignores the ADDITIONAL fuel consumed in take-off, climb, descend, landing, and taxi in: Chapter 3.2, Equation (3.1), which is wrong. These two errors compensate each other to a certain extend. The errors got corrected now: The current Excel table considers the ADDITIONAL fuel consumption. The current Excel table considers the reserves NOT as fuel consumption.

Methodology and Processing

Sources Statement

Data Access

Notes:

This is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, License Version 3. The software is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details: http://www.gnu.org/licenses/gpl.html

Other Study Description Materials

Related Publications

Citation

Title:

Burzlaff, Marcus, 2017. Fuel Consumption – Estimation and Visualization.Project. Hamburg University of Applied Sciences, Aircraft Design and Systems Group (AERO). Available from:

Bibliographic Citation:

Burzlaff, Marcus, 2017. Fuel Consumption – Estimation and Visualization.Project. Hamburg University of Applied Sciences, Aircraft Design and Systems Group (AERO). Available from:

Other Study-Related Materials

Label:

FuelCalculation_SLZ.xlsm

Text:

Major update of the table from 2017 by Dieter Scholz. Example calculation shows the Airbus A350-900.

Notes:

application/vnd.ms-excel.sheet.macroEnabled.12