At Power Curve, we take great pride in being able to provide clear evidence on a case-by-case basis that our add-on solutions can indeed provide the desired effect — and that the increase in annual energy production (AEP) is worth the investment.

Knowing that our technology is effective is a deciding factor for our clients. Therefore, we offer rigorous on-site testing and in-depth performance reports as part of our Power Curve turnkey solution to best support our client’s investment decision.

In practice, this means that we help select a number of on-site test turbines for a trial installation and an equal number of reference turbines.

Before installing any vortex generators, we collect 6-12 months of time-synchronized SCADA data for all test and reference turbines to establish a baseline performance level.

After installing VGs on the turbines selected for testing, we collect performance data after another 6-12 months of uninterrupted operation. This enables us to reliably compute the relative improvement of the power-upgraded turbines compared to the reference turbines.

The side-by-side method

For performance validation, we use the simple, yet robust and widely accepted side-by-side method. In the side-by-side method, data is divided into power bins in order to investigate the performance at the different wind speeds from cut-in to rated wind speed.

Based on blade condition and service histories, we select pairs of adjacent turbines. Using time-synchronized SCADA data from before and after VG installation, the difference in power production can then be used to evaluate the performance of the power-upgraded test turbine.

This ensures that wind conditions for two turbines in a given pair are as similar as possible during data logging, bringing us very close to a 1-to-1 comparison.

Power Curve Data Analyzer

At Power Curve, we have invested in and developed a powerful analysis software, the Power Curve Data Analyzer, to both simplify and refine our side-by-side analysis of turbines.

Our software handles a number of characteristics that factor into predicting the increase in AEP. These include local wind conditions, power ranges and average wind speeds.

Power Curve Analyzer Tool snippet

The Power Curve Data Analyzer allows us to reliably predict how big an impact our vortex generators will have on the client’s turbine AEP, with customizable statistical confidence intervals.

For our clients, this means that we can provide comprehensive validation reports upon request that take into account the wind sectors and seasonal effects at their specific sites.