Machine meteorology – Big data #2: Boosting output with artificial intelligence
Big data is enhancing operations and maintenance (O&M) in the wind power industry. By harnessing insights gleaned from this explosion of information, companies optimize turbines to reduce costs and increase efficiency. Yet as effective as statistical models are, the intermittency of wind is inescapable. This calls for a solution that allows turbines to learn from and adapt to changing conditions autonomously.
A second wind for old parts – Remanufacture the bearing; keep the turbine whirring
Bearings are among the most essential components in wind turbines. If a fault occurs in a turbine bearing, it could result in significant financial losses for everyone involved in the wind power supply chain. A major breakdown could cause widespread disruption, affecting the energy supply of a large organization – or even an entire region. Keeping these parts performing efficiently and reliably is therefore of utmost importance.
