How to Improve Wind Plant Performance with High Resolution Data

If you want to grow your wind plant’s revenue, you won’t be able to do it through O&M savings alone—improving wind turbine power performance, and therefore annual energy production (AEP) is vital.

At WindESCo, we’ve toiled long and hard developing algorithms to analyze high resolution wind turbine data to find the underlying causes of underperformance, enabling customers to fix the issues with their turbines, and ultimately improve wind plant AEP.

Conventional wind energy analytics use 10-minute statistical data. While this can be sufficient for knowing whether or not a long term, gross underperformance is occurring, it’s often not enough to explain why.

What makes WindESCo different? 

We look directly at high frequency data, giving us nearly three orders of magnitude more time resolution, allowing us to find — and more importantly explain— suboptimal behavior and anomalies whose signatures can only be seen at this much finer timescale. When we know why a turbine is underperforming with this level of detail, fixing the issue becomes much easier and more direct.

What are you missing?

Working with high frequency data allows us to look at both the detailed behavior of the wind turbine controller to transient wind conditions, but also the transient response in power performance. This vital information is smeared away in the 10 minute statistical data.

More than a dashboard

While others in the wind energy analytics space offer generalized ways to view and interpret relatively coarse 10 minute statistics, WindESCo’s algorithms apply 16 specific and detailed checks to your high frequency SCADA, generating valuable knowledge about the performance of your assets that others miss. Most importantly, the explanatory power of the results helps you fix the turbines as quickly as possible, where other solutions leave you to investigate on your own—a daunting and potentially expensive task by itself.

A simple fix

Hard-to-detect underperformance issues can add up over time. Through high frequency data analysis, WindESCo can identify ways of improving AEP that have not previously been considered. In many cases, fixes for these conditions can be very simple controller parameter adjustments that do not require a trip uptower.

Know what you’ve gained

Once adjustments or fixes are made to affected turbines, our analytics can quickly verify the issues have been resolved. Next, we apply our DNV-approved methodology to validate that the modified turbines in fact are producing more energy than before.

At WindESCo, we help our customers find and fix wind farm issues and anomalies to crawl back 2-5% improvement in AEP. Depending on the size of the farm, this could mean millions of dollars in extra revenue. Furthermore, our technology can provide payback within 12 months with ROIs of 7:1 over 3-5 years.

Talk to us. If you want to improve annual energy performance and the overall value of your fleet, get in touch. We will help you find a solution.

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