Abstract
Urban air mobility can be a potential solution for urban congestion, and high-level concepts of operations (e.g., UTM, U-space) have been developed with the help of large-scale simulations of multi-agent systems. However, one aspect that should be researched more is the effect of wind on the safety and efficiency of missions in an urban environment. While studies that analyse the potential effect of wind on U-space operations exist, they mostly use constant wind fields, or highly simplified wind models. The study at hand investigates whether medium-fidelity CFD models can be used to predict and match recorded wind data in the city centre of The Hague. Six locations with distinct urban features were chosen, and wind measurements were recorded on two separate days. Using the rooftop wind properties obtained during the measurement sessions, computational fluid dynamics (CFD) simulations were performed within a large urban model of the city. Results indicate that there are large discrepancies between the simulated and measured values. Some wind phenomena observed within the measured wind data were also replicated by the CFD model. Thus, based on the results presented in this work, future research should focus on improving computer city models and wind measurement methods to ensure the development of concepts of operations that maximise the safety and efficiency of future U-space operations.
Original language | English |
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Title of host publication | Proceedings International Conference on Research in Air Transportation |
Editors | Eric Neiderman, Marc Bourgois, Dave Lovell, Hartmut Fricke |
Number of pages | 8 |
Publication status | Published - 2024 |
Event | International Conference on Research in Air Transportation - Singapore, Singapore Duration: 1 Jul 2024 → 4 Jul 2024 |
Conference
Conference | International Conference on Research in Air Transportation |
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Abbreviated title | ICRAT 2024 |
Country/Territory | Singapore |
City | Singapore |
Period | 1/07/24 → 4/07/24 |
Keywords
- U-space
- UTM
- drones
- urban
- mobility
- wind
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Best Paper ICRAT 2024
Badea, Calin Andrei (Recipient), Morfin Veytia, A. (Recipient), Ellerbroek, J. (Recipient) & Hoekstra, J.M. (Recipient), 4 Jul 2024
Prize: Prize (including medals and awards)