Case Study: Storm NV optimises wind farm revenue forecasting with 3E’s Turbine Underperformance Analysis

Storm NV optimises wind farm revenue forecasting and reduces up to 2% AEP losses with 3E

Storm NV, a renewable energy company, faced the challenge of undetected underperformance at one of its operational wind farms, which created a financial blind spot over the long asset lifetime. To address this, Storm engaged vendor 3E to utilize its Turbine Underperformance Analysis service.

The solution implemented by 3E used a vertical profile LiDAR for an in-depth analysis, focusing on power curve verification, production validation, and identifying yaw misalignment. This enabled Storm to increase energy production and optimize its revenue forecasting. The analysis from 3E quantified the impact on revenue streams, addressing issues that could lead to significant annual energy losses.

Storm NV