Insights in wind field reconstruction from two nacelles’ LiDAR in the same offshore wind farm

Abstract The global rise in offshore wind farms underscores the need to cut costs and optimise energy production. As turbines increase in size and wind farms become more concentrated, mitigating downstream wake effects is crucial for operational efficiency. LiDAR technology, offering advantages like eliminating the need for meteorology masts, has been extensively discussed in the literature. However, it indirectly measures wind parameters, relying on assumptions and embedded algorithms. Wind field reconstruction (WFR) methods empower users with more control over LiDAR measurements, allowing tailored flow assumptions and parameter estimation. Using LiDAR data from two sequential campaigns at a wind farm, our research analyses LiDAR performance validated with SCADA measurements and applies WFR for wind field parameters estimation. Comparative analyses of wind parameters from different sources, particularly downstream turbines, demonstrate the robustness of WFR. The reconstructed wind field is compared with SCADA data for a comprehensive assessment.