Abstract
As of present the Urban Air Mobility market has been dominated by fully electric aircraft. However, hydrogen vehicles have remained relatively undeveloped in this segment, also because hydrogen poses additional design complexities and uncertainties concerning crashworthiness, fuel cell cooling, and low volumetric density. Nevertheless, hydrogen might yield advantages in mission performance owing to its superior gravimetric energy density and greater sustainability when compared to batteries. In this paper, the design procedure of a four-passenger long-range hydrogen eVTOL using Multidisciplinary Analysis and Design Optimization (MADO) is presented. Using MADO, the mission energy of the eVTOL was minimized while abiding by the constraints rooting from the use of hydrogen. Based on this design, the conclusion can be made that the implementation of hydrogen eVTOLs in urban air mobility is feasible whilst taking into account constraints resulting from the use of hydrogen at the preliminary design stage. This led to an aircraft which excels at longer range due to the increased scalability of hydrogen fuel, but having a weight penalty due to auxiliary equipment which hampers its performance and results in a large fuselage and maximum takeoff weight.
Original language | English |
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Title of host publication | Proceedings of the AIAA SCITECH 2024 Forum |
Publisher | American Institute of Aeronautics and Astronautics Inc. (AIAA) |
Number of pages | 19 |
ISBN (Electronic) | 978-1-62410-711-5 |
DOIs | |
Publication status | Published - 2024 |
Event | AIAA SCITECH 2024 Forum - Orlando, United States Duration: 8 Jan 2024 → 12 Jan 2024 |
Publication series
Name | AIAA SciTech Forum and Exposition, 2024 |
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Conference
Conference | AIAA SCITECH 2024 Forum |
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Country/Territory | United States |
City | Orlando |
Period | 8/01/24 → 12/01/24 |
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Aetheria eVTOL multi-disciplinary analysis Python package
Keijzer, D. M. (Creator), Middendorp, L. F. (Contributor), de Rijke, S. (Contributor), Albers, W. (Contributor), Simon Soria, C. (Creator), Arends, J. J. (Contributor), Sarıgöl, B. (Contributor), Hadzhiyski, E. I. (Contributor) & Giovani Pereira Castro, S. (Contributor), GitHub/Zenodo, 6 Dec 2023
Dataset/Software: Software