This repository contains MATLAB scripts that

• calculate Inflow Turbulence (IT) noise spectra
  • generated from a horizontal axis wind turbine (WT)
    • due to the interaction between the incoming turbulent flow and the blade leading edges (LEs).

This prediction is based on Amiet's analytical theory, coupled with Rapid Distortion Theory (RDT).

This model accounts for rotating frames and spanwise inhomogeneities of blades and inflow via:

• reference frame transformations,
• the inverse strip theory,
• Doppler shift effect.

The RDT implementation in this tool:

• models the distortion of turbulence approaching a blade LE due to thickness effects.
• uses a simplified closed-form solution of Goldstein’s RDT.
• is based on the vorticity deflection mechanism.

Note that turbulence distortion due to a streamtube contraction/expansion is neglected.

• go to "/src"
• modify "User's Inputs" Section in "main.m"
• simply run "main.m"

Özgür Yalçın, Andrea Piccolo

Aeroacoustics Group / Delft University of Technology

Contact: ozguryalcin.ae@gmail.com

• January 2024: First version started from the AmietLENoise script (developed for propellers by Andrea Piccolo).
• August 2024: Ready for IT noise estimation in wind turbines.
• April 2025: Goldstein's Rapid Distortion Theory implemented.
• January 2026: Published as an open-access tool.

For more information, please see: https://doi.org/10.5194/wes-2025-214

If you use this software, please cite:

Yalçın, Ö., & Piccolo, A. (2025).
Amiet-RDT MATLAB Tool for Inflow Turbulence Noise Prediction in Wind Turbines.
Zenodo. https://doi.org/10.5281/zenodo.18198344

This tool is developed as a part of the Blade Extensions for Silent Turbines (BEST) project (HER+22-02-03415120), which is supported by the Netherlands Enterprise Agency (Rijksdienst voor Ondernemend Nederland (RVO)), acting on behalf of the Dutch Ministry of Economic Affairs, using the Renewable Energy Transition subsidy (subsidie Hernieuwbare Energietransitie (HER+ 2022-02)), part of the Topsector Energy (TSE) subsidies.

This project is licensed under the MIT License. See the LICENSE file for details.