Noise emissions and annoyance of sustainable aviation systems

Identifying noise sources and validating noise prediction models

Doctoral Thesis (2025)
Author(s)

B. von den Hoff (TU Delft - Operations & Environment)

Contributor(s)

M. Snellen – Promotor (TU Delft - Control & Operations)

D. G. Simons – Promotor (TU Delft - Operations & Environment)

Research Group
Operations & Environment
More Info
expand_more
Publication Year
2025
Language
English
Research Group
Operations & Environment
ISBN (print)
978-94-6384-800-8
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Sustainable aviation is achieved when the negative impact of aviation on people, planet, and profit is minimised. Aviation impacts people through the noise it produces. Exposure to high noise levels for prolonged periods of time can lead to sleeping disorders, hypertension, and hearing issues. Therefore, the new generation of aircraft should be designed such that the noise emissions are reduced. Additionally, reducing noise annoyance is important as the human perception of aircraft noise is not only influenced by sound pressure levels.

Reducing the noise emissions and annoyance is only possible when the noise sources of an aircraft are known and can be predicted accurately during the design process. The objective of this dissertation is therefore to improve aircraft noise prediction models that can be used for reducing noise emissions and noise annoyance in the design process. This is specifically applied to currently operational sustainable aviation systems.

Files

License info not available
License info not available