Nabla Wind Power offers to wind industry its team’s experience in wind turbines design and analysis combined with the knowledge of the LTO (Long Term Operation) protocols from other mature, technologically advanced and well-consolidated energy sources, such as nuclear power plants sector, proposing a unique and high added value product for:

This way, Nabla Wind Power proposes the LEA - Life Extension Analysis.

Life Extension Analysis by Nabla Wind Power is based on a simple principle:

Which is developed in the most complete and comprehensive way using Nabla Wind Power’s capabilities in turbines inverse engineering and aeroelastic modeling acquired from first order turbine OEMs, resulting in a site-specific wind turbines Design Life Redefinition and Life Extension based on an unique and differentiated Aeroelastic Loads Analysis which accounts for the Causes for the turbines structural life consumption of the principal components:

This massive and most comprehensive loads analysis, leads to the diagnosis of the life consumption in each specific wind site, and provides a redefinition of the turbine components design life.

And since this analysis is directly based on the causes which lead to structural Fatigue, it leads to most effective Life Extension Strategies for each wind power plant, adding a key added value for the most effective Long Term operation and the maximization of the Return of Investment.

Damage Mitigation

The process and its details are protected by a WO PCT “International Patent” applied by Nabla Wind Power.

This analysis complements perfectly the current solutions for predicting the short or medium term failures of some turbines components derived from inadequate components design, manufacturing, installation or maintenance, such as diagnosis inspections, CMS (Condition Monitoring Systems), tribological analysis, particles analysis on fluids and the failures records for the already consumed life of the existing turbines fleets, since Nabla Wind Power’s Life Extension Analysis provides the prediction a priori for the main components life consumption but in Long Term and based in the dominant causes for fatigue consumption.