Wind energy is critical in the fight to meet climate change commitments. Wind turbines can leverage the potential of artificial intelligence to adjust to changes in ambient conditions and load variations.

Fremont, CA: Artificial intelligence is already in use in a wide variety of fields. Whether it's predictive maintenance, production forecasting, or self-driving cars, AI is used in nearly every industry. It is presently being utilized in the realm of renewable energy, notably wind energy. Renewable energies serve as the foundation for green electricity, which is critical for meeting climate commitments.

Uses of AI in the wind energy industry:

Power optimized stable grids

Each wind turbine captures up to 600,000 measurement data points per sensor each minute, including vibrations and wind speeds and more than 100 different characteristics in total. Already, this data can be utilized to provide early warnings of future failures. Wind turbines should be able to learn and adapt to changing environmental conditions in the future due to this data. With the necessary artificial intelligence, each wind turbine might soon know how to best align its own rotors for optimal efficiency. Simultaneously, it would assess the possibility that the air vortices of its own turbine could affect the operation of the wind turbines below.

Maintenance activity optimization

Another advantage of applying AI in wind energy is that maintenance and repair actions may be optimized. When damage is recognized early, repair costs can be kept low, and the turbine's life extended. When damage happens unexpectedly, it frequently necessitates the total shutdown of a wind turbine. Early defect detection enables the prevention of failures. Additionally, operators can rely on AI-assisted visual inspection solutions, which are typically more efficient and faster than traditional approaches.

Smart bird protection

The protection of birds is a frequently used argument against wind turbines. However, there are already AI systems that recognize bird species sensitive to wind power using a camera and a deep-learning neural network. The AI detects the bird's approach and shuts down the wind turbine just as the animal approaches the rotor blade.