Towards estimating noise-power-distance curves for propeller powered zero emission hydrogen aircraft
Towards estimating noise-power-distance curves for propeller powered zero emission hydrogen aircraft
As part of the UK Research and Innovation project New Aviation, Propulsion, Knowledge and Innovation Network (NAPKIN), a high-level framework was developed for the assessment of the noise impact of the proposed regional-sized hydrogen-powered aircraft. This study consists of the methodology used to generate the industry-standard noise–power–distance (NPD) curves from individual component noise analysis, specifically propeller tonal noise. The model is based on an asymptotic analysis of a frequency domain propeller tonal noise model combined with a linear approximation, taking advantage of the logarithmic nature of noise. An error analysis on the linear approximation assumption proves that the relative error between predicted and actual values of the noise remains below 10% for appropriately chosen baseline points. Verification of the framework was achieved through a bench-marking procedure that compared predictions of departure NPD curves for current technology regional aircraft against published ones over a range of operational power settings. Finally, departure and approach NPD predictions for three of the NAPKIN hydrogen concept aircraft are presented. Concepts featuring a larger, slower-rotating propeller with an increased number of blades relative to the reference aircraft showed benefits over the reference aircraft, despite, in some cases, increases in maximum takeoff weight.
Amargianitakis, Daniel C.
640e8a01-e8ee-4bd4-9ead-d0f911650cc2
Self, Rodney H.
8b96166d-fc06-48e7-8c76-ebb3874b0ef7
Torija, Antonio J.
897fc235-0fc5-44e7-9b0d-a78c4c4e36f7
Proenca, Anderson R.
b817534c-6a54-4a01-af07-d46987750100
Synodinos, Athanasios P.
fc4f6dd2-7200-48b4-b0bf-67a2f62dda3b
Amargianitakis, Daniel C.
640e8a01-e8ee-4bd4-9ead-d0f911650cc2
Self, Rodney H.
8b96166d-fc06-48e7-8c76-ebb3874b0ef7
Torija, Antonio J.
897fc235-0fc5-44e7-9b0d-a78c4c4e36f7
Proenca, Anderson R.
b817534c-6a54-4a01-af07-d46987750100
Synodinos, Athanasios P.
fc4f6dd2-7200-48b4-b0bf-67a2f62dda3b
Amargianitakis, Daniel C., Self, Rodney H., Torija, Antonio J., Proenca, Anderson R. and Synodinos, Athanasios P.
(2023)
Towards estimating noise-power-distance curves for propeller powered zero emission hydrogen aircraft.
Journal of Aircraft.
(doi:10.2514/1.C037194).
Abstract
As part of the UK Research and Innovation project New Aviation, Propulsion, Knowledge and Innovation Network (NAPKIN), a high-level framework was developed for the assessment of the noise impact of the proposed regional-sized hydrogen-powered aircraft. This study consists of the methodology used to generate the industry-standard noise–power–distance (NPD) curves from individual component noise analysis, specifically propeller tonal noise. The model is based on an asymptotic analysis of a frequency domain propeller tonal noise model combined with a linear approximation, taking advantage of the logarithmic nature of noise. An error analysis on the linear approximation assumption proves that the relative error between predicted and actual values of the noise remains below 10% for appropriately chosen baseline points. Verification of the framework was achieved through a bench-marking procedure that compared predictions of departure NPD curves for current technology regional aircraft against published ones over a range of operational power settings. Finally, departure and approach NPD predictions for three of the NAPKIN hydrogen concept aircraft are presented. Concepts featuring a larger, slower-rotating propeller with an increased number of blades relative to the reference aircraft showed benefits over the reference aircraft, despite, in some cases, increases in maximum takeoff weight.
Text
DCA_Journal_of_Aircraft_2022-09-C037194.R2
- Accepted Manuscript
More information
Accepted/In Press date: 30 September 2023
e-pub ahead of print date: 21 December 2023
Identifiers
Local EPrints ID: 488071
URI: http://eprints.soton.ac.uk/id/eprint/488071
ISSN: 0021-8669
PURE UUID: c4feaab1-c3af-4abf-ba12-06c1fba614d4
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Date deposited: 14 Mar 2024 17:50
Last modified: 17 Mar 2024 09:13
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Contributors
Author:
Daniel C. Amargianitakis
Author:
Antonio J. Torija
Author:
Anderson R. Proenca
Author:
Athanasios P. Synodinos
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