Invenergy is getting the benefit of IoT software in its bid to optimize its wind energy assets.

The global wind energy giant has partnered with NarrativeWave to use its solutions to optimize its fleet.

The announcement follows a successful 60-day pilot, where Invenergy proved out two use cases for their operations.
Invenergy wind turbine
The first use case focused on Reducing Lost Production. The second use case focused on Reducing Unscheduled Downtime, accomplished by empowering mechanical, electrical, and turbine performance subject matter experts (SMEs) to rapidly build analytic models and deploy them across a fleet of turbines without the need for data scientists.

Through these pilots, operators in the 24/7 Invenergy Control Center (ICC) used NarrativeWave to fully automate time-consuming manual processes and accelerate return-to-service times on wind turbines, in some cases by more than 50 per cent.

For example, previously, when high generator bearing temperatures caused a turbine fault, a control room operator would log into a web page and manually analyze a host of temperature, wind speed and power production variables to decipher the next course of action. With NarrativeWave, this process was fully automated, providing the operator a recommendation in mere seconds.

Invenergy Performance Analytics Manager Jim Klus said: “NarrativeWave enables our Operation Engineers to easily build analytic models without having to be computer programmers, complementing their expertise and rapidly delivering new analytics for our growing wind and solar fleet.”

NarrativeWave provides a user-directed toolset that allows companies to increase productivity and succeed at self-operating, without the increased cost of software engineers and data scientists.

The software experts’ client engineering director Johnny Dobbins said: “NarrativeWave is one of the first solutions available focused on empowering domain experts. “Our industry-leading partners are focused on closing the gap between their data and SMEs, while reducing data science and engineering costs associated with delivering actionable insights.”