Completed Clean Energy Engineering

Unlocking scalable tidal wealth: clean growth for the coastal zone

In plain English

AI plain-English summary

The UK’s tidal energy potential remains largely untapped because existing technology costs too much to compete commercially. FMP is developing SwimmerTurbine™, a 50kW tidal turbine designed to be scalable and affordable, with key innovations that bring the cost down to commercially viable levels. This project moves the turbine from prototype toward a market-ready machine. If successful, it could unlock a predictable, homegrown source of clean electricity for coastal communities, reducing reliance on fossil fuels and strengthening the UK’s energy grid. The technology is not about household gadgets or daily consumer products—it targets the infrastructure that quietly powers industry and homes. Cheaper tidal energy could also support local manufacturing and supply chains in coastal zones, where economic growth has often lagged. The project is applied engineering, not fundamental science; its success depends on manufacturing and deployment, not on discovering new physical principles.

View original technical description
The UK has some of the best tidal resources in the world. However, to-date, this predictable, indigenous, clean energy has remained largely untapped, due to the non-commercial cost of tidal energy technology. FMP is developing SwimmerTurbineTM, a 50kW tidal turbine that delivers a scalable, affordable solution, unlocking the tidal energy opportunity through key innovations, leading to breakthrough metrics. This project now allows us to move quickly to a commercially ready machine.

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Related Research

Grants with similar aims, by meaning.

Platforms for Tidal Energy Converters
Tidal Power Generation
TIDEGEN - Submerged Modular Generators for Tidal Energy
Floating Tidal Energy Commercialisation project (FloTEC)
Development of Very Low Head Tidal Turbine

Original classification

Small Business Research Initiative

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.