Posters

Abstract

The accurate estimation of interannual wind resource uncertainty is a crucial aspect for both economic evaluations and operational planning in the wind energy sector. It not only allows stakeholders to assess the financial viability of wind projects, but also helps to understand how annual weather variations can impact the performance of wind farms in operation. In this context, fast, accessible, and reliable reference datasets such as ERA5 become indispensable tools for analysis and forecasting. Furthermore, with the increasing availability of SCADA (Supervisory Control and Data Acquisition) data from operational wind farms, there is a unique opportunity to extract valuable insights and enhance the assessment of wind resource variability. This study seeks to bridge these resources, aiming to provide a robust framework for wind resource evaluation and impact analysis. First of all, the validation as a reliable information source of ERA5 Interannual Wind Resource variability is carried out.  Once the methodology is validated, the impact of wind resource on the performance of many operative assets over a reference year is assessed. This study analyzes the correlation between interannual wind resource variability derived from ERA5 reanalysis data and SCADA data collected from operational wind farms for a total of 523 WTG (Wind Turbine Generators). Both wind speed and corresponding energy output variations are considered. For the energy variation assessment, the operative power curve is recalculated for each WTG. This recalibrated curve is then applied to the ERA5 wind speed values at the closest grid point, enabling the evaluation of interannual variation in energy production. The findings reveal a very strong correlation between interannual variations observed in ERA5 datasets and those derived from SCADA data, for both wind speed and power output.