Dataset in support of the thesis 'Credibility-based optimisation of (Hybrid-) Electric Aircraft '
Dataset in support of the thesis 'Credibility-based optimisation of (Hybrid-) Electric Aircraft '
Data is available 'on request' please complete the form at https://library.soton.ac.uk/datarequest
This dataset contains results presented in the thesis 'Credibility-based optimisation of (Hybrid-) Electric Aircraft '. The dataset contains 3 folders:
1. Credibility: Python files used to create the credibility curves for laminar flow and structural weight reductions.
2. Networks: SUAVE simulation results for all variants used in the sensitivity studies for the boosted-turbofan aircraft and the fully-electric aircraft.
3. TMS: SUAVE simulation results for all variants used in the sensitivity studies for both TMS architectures (with and without skin heat exchanger).
University of Southampton
Wahler, Nicolas Frederick Maximilian
b8ee2159-db14-4859-8c36-47262d7aa4b7
Elham, Ali
676043c6-547a-4081-8521-1567885ad41a
Wahler, Nicolas Frederick Maximilian
b8ee2159-db14-4859-8c36-47262d7aa4b7
Elham, Ali
676043c6-547a-4081-8521-1567885ad41a
Wahler, Nicolas Frederick Maximilian
(2025)
Dataset in support of the thesis 'Credibility-based optimisation of (Hybrid-) Electric Aircraft '.
University of Southampton
doi:10.5258/SOTON/D3338
[Dataset]
Abstract
Data is available 'on request' please complete the form at https://library.soton.ac.uk/datarequest
This dataset contains results presented in the thesis 'Credibility-based optimisation of (Hybrid-) Electric Aircraft '. The dataset contains 3 folders:
1. Credibility: Python files used to create the credibility curves for laminar flow and structural weight reductions.
2. Networks: SUAVE simulation results for all variants used in the sensitivity studies for the boosted-turbofan aircraft and the fully-electric aircraft.
3. TMS: SUAVE simulation results for all variants used in the sensitivity studies for both TMS architectures (with and without skin heat exchanger).
Available under License All Rights Reserved.
More information
Published date: 2025
Identifiers
Local EPrints ID: 497173
URI: http://eprints.soton.ac.uk/id/eprint/497173
PURE UUID: 5dcfae27-976a-4c78-ac93-849da6e1529c
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Date deposited: 15 Jan 2025 17:49
Last modified: 15 Jan 2025 17:51
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Contributors
Creator:
Nicolas Frederick Maximilian Wahler
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