As the UK prepares for a rapid expansion of tidal energy, (not)NOISY (Propagation of NOISe generated by tidal arraYs and its environmental impacts) will develop the first advanced tools capable of predicting the cumulative underwater noise produced by tidal turbine arrays before they are built.
The research will support industry, regulators and policymakers to strengthen the evidence base used in environmental assessments and enable informed, proportionate decision-making as the sector grows.
Tidal energy is emerging as a key part of the UK's renewable energy mix. Unlike wind and solar power, which depend on weather conditions, tidal power is highly predictable and can deliver a steady, reliable source of energy day in, day out, making it the perfect complement to other renewable energy.
As the sector scales-up and larger turbine arrays, with 10 devices or more, are planned for deployment, understanding their environmental impacts is becoming increasingly important, particularly potential collision risks with marine macro-fauna and underwater noise. Modelling suggests turbine noise could travel up to 8km through the ocean.
Lead researcher Dr. Pablo Ouro, Research Fellow in the Department of Civil Engineering and Management at The University of Manchester, said, "Tidal stream energy has enormous potential to support the UK's Net Zero ambitions, but its long-term success depends on our ability to accurately assess and manage environmental impacts, hence accelerating project permitting and licensing.
"Noise generation is one of the biggest uncertainties facing tidal projects today but tools to estimate cumulative acoustic outputs with high confidence do not yet exist. With tidal arrays expected to grow in number and size, we need tools that can predict their cumulative acoustic footprint prior to deployment. (not)NOISY will provide exactly that."
The research team will develop advanced high-fidelity computer models and AI-assisted rapid tools that closely replicate real world tidal stream site conditions, allowing researchers to quantify how noise from tidal turbines travels through real marine environments. The model will be applied in both near- and far-wake regions, across different turbine types (floating and bottom-fixed) and environmental conditions at four major European sites – EMEC and MeyGen in Scotland, Normandie Hydroliennes tidal site in Raz Blanchard between France and the Channel Islands and Morlais in Wales.
The findings will lead to the development of PyTAI (Python Tidal-Array Induced acoustics), an open-source, AI-driven tool that will enable rapid prediction of tidal turbine noise under a wide range of operating conditions. The tool will support future environmental impact assessments and contribute to the development of evidence-based policy and regulatory guidance.
Ouro added, "By improving confidence in marine noise prediction, we hope this project will help accelerate the next generation of tidal-stream developments, supporting clean energy growth while protecting marine ecosystems, in order to foster an industry of national importance."
(not)NOISY is funded by UKRI Engineering and Physical Sciences Research Council Supergen Offshore Renewable Energy Impact hub and brings together a strong international consortium, including three European turbine manufacturers, UK and French tidal project developers, policymakers and academic partners, ensuring close collaboration between research, industry and regulation.
