The NHP-WEC project, a collaboration between Lancaster University (LU) and the University of Hull (UoH), aims to advance wave energy technology through the integration of TALOS and SmartWave technologies.
Central to this research is the Technologically Advanced Learning Ocean System – Wave Energy Converter (TALOS-WEC), a novel multi-axis WEC developed at LU. This system converts wave motion into electricity using an enclosed inertial mass and a hydraulic Power Take-Off (PTO) system, optimized for both efficiency and survivability in extreme marine environments. The project focuses on refining the design of the WEC and PTO system to enhance performance in response to dynamic wave inputs.
The research emphasizes the importance of quantifying wave characteristics to improve energy production, enhance system reliability, and optimize materials and manufacturing techniques. In parallel, the project leverages SmartWave, a machine learning-driven sea state forecasting tool developed at UoH, to provide high-fidelity wave predictions. This integration enhances the operational control of WEC arrays, boosting energy yields and supporting global deployment potential while ensuring the system's survivability in challenging marine environments.