READ ME File For Dataset in support of the thesis 'Credibility-based optimisation of (Hybrid-) Electric Aircraft '

Dataset DOI: 10.5258/SOTON/D3338

ReadMe Author: Nicolas Wahler, University of Southampton

This dataset supports the thesis entitled 'Credibility-based optimisation of (Hybrid-) Electric Aircraft'
AWARDED BY: University of Southampton
DATE OF AWARD: 2025

DESCRIPTION OF THE DATA


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).



Licence:
All Rights Reserved by the author

Related projects/Funders:
European Union Horizon 2020 Credible HYbrid eLectric Aircraft (CHYLA)



Date that the file was created: 01/2025