The objective of this project proposal is to prove that measurements of infrasound generated by wind turbines are inherently corrupted by pseudosound, hence their values are overestimated. Additionally, we seek to prove that the perception of infrasound indoors can be attributed to resonance effects of indoor spaces, which are initiated dominantly by the pseudosound. Results will enable the design of control measures and therefore enhance public acceptance of wind turbines for sustainable energy production.
Pseudosound refers to pressure oscillations, resulting from the turbulent airflow caused by the wind above the observer, with frequency and amplitude overlapping with infrasound. Our proposed measurement methodology is designed to distinguish between true infrasound and pseudosound. By gaining a deeper understanding of the interaction between pseudosound and building structures, we aim to develop effective design measures that will reduce indoors pressure oscillations, which are inaccurately described as infrasound.
Additionally, the study will contribute to the legislative process by refining the assessment of wind turbine (WT) noise by developing a methodology for determining background noise, which is crucial for legislation, as the WT noise is assessed in terms of its contribution to the overall noise level. This will enable more accurate determination of WTs’ impact zones and a more credible evaluation of infrasound’s effects on people.
The Outcomes of this project will be instrumental in shaping new legislation. Additionally, our ongoing project, “IoT-Sound-Radar with AI for Event Classification in Urban and Wildlife Monitoring for a Green Future,” funded by ARIS, aligns with this proposal, offering synergies in exploring the impact of wind turbine noise on biodiversity and human habitats.
Research projects are (co)financed by the Slovenian Research and Innovation Agency
- Member of the University of Ljubljana: Faculty of Mechanical Engineering
- Project code: V2-24025
- Science: Engineering sciences and technologies
- SICRIS: Managing low-frequency noise in promoting the use of renewable energy sources
The project follows the standard procedure of the Laboratory for Power Engineering Machinery and Applied Acoustics (LEDSTA) for research data management, prepared in accordance with FAIR principles (Findable, Accessible, Interoperable, Reusable), the requirements of ARIS, the Regulation on Open Science, and the recommendations of Science Europe and Horizon Europe.
The project primarily generates experimental acoustic data, sound pressure and vibration measurements, data from various sensors, numerical simulations, and derived research data. Due to the large volumes of raw data (up to several TB per individual measurement campaign or simulation), these are retained only during the execution of the project, result analysis, and the preparation of scientific publications. Upon completion of the research, they are generally deleted, except where funding bodies or contractual conditions require longer retention.
Derived research data, metadata, calibration data, input models, software code, documentation, and results used in scientific publications are stored for the long term. This approach ensures traceability, research reproducibility, and long-term reusability of data, with significantly lower storage space requirements.
Research data is shared according to the principle “as open as possible, as closed as necessary.” Following the publication of results, derived data, software code, input models, and experimental protocols are made publicly accessible, provided this is permitted by requirements regarding personal data protection, intellectual property, and contractual obligations.
A more detailed description of the research data management procedures is available in the document on the LEDSTA laboratory website: LEDSTA Standard Operating Procedure – Research Data Management Plan (PDF).