ELEMENT

Tidal turbines are designed to withstand the maximum loadings they can expect to experience during their operational lifetime, including peak loadings and fatigue. Fatigue loadings arise from turbulence and wave action. High peak and fatigue loadings, combined with uncertainty in loading modelling, leads to conservative designs; expensive, heavy devices; and resultant high transport and deployment costs (high CAPEX).

During operation, fatigue and peak loadings contribute to wear on a systems; this reduces turbines reliability, availability, efficiency and lifetime, and increases operational costs (OPEX). Improved control of turbines to reduce damaging loadings will improve device reliability and extend the lifetime of components, leading to reduced OPEX. In addition, improved control and a better understanding of the resource and the turbine response can be used to optimise performance to increase device yield.

Artificial Intelligence has already been successfully deployed in the mature wind industry to deliver significant commercial benefits by allowing turbines to adapt continually to changing conditions.