Open this publication in new window or tab >>2024 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]
This work explores the design and optimization of electrified configurations in aviation, focusing on the application and adaptation of these technologies across various aircraft classes. It utilizes a range of methodologies, including the development of a novel engine design approach, multi-disciplinary frameworks and the integration of surrogate modeling techniques, to enhance the conceptual design process and facilitate efficient exploration of complex design spaces.
This work demonstrates that electrified systems can significantly improve fuel efficiency and reduce emissions, particularly in short-haul applications where the current limitations of battery technology are less restrictive. The work identifies critical design trade-offs, such as the impact of battery weight on overall aircraft performance and the benefits of distributed propulsion systems in reducing aerodynamic drag and enhancing energy efficiency.
An uncertainty analysis further reveals the critical role of technological advancements in electrical powertrain components and their implications for the operational viability of electrified aircraft. The findings indicate that while near-term benefits can be achieved with current hybrid configurations, fully electrified aircraft will depend on future improvements in battery energy density and powertrain technologies.
Through these diverse methodologies and analyses, this work contributes to a deeper understanding of the challenges and opportunities in electrified aircraft design, offering insights that are crucial for advancing sustainable aviation.
Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2024. p. 254
Series
Mälardalen University Press Dissertations, ISSN 1651-4238 ; 418
Keywords
Multi-disciplinary, Optimization, Electrified Propulsion, Uncertainty Analysis
National Category
Aerospace Engineering
Research subject
Energy- and Environmental Engineering
Identifiers
urn:nbn:se:mdh:diva-68386 (URN)978-91-7485-677-4 (ISBN)
Public defence
2024-11-08, Lambda, Mälardalens universitet, Västerås, 13:15 (English)
Opponent
Supervisors
2024-09-102024-09-092024-10-10Bibliographically approved