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Data Availability Impacts Uncertainty of Long-Term Corrected Wind Surprisingly Little
According to common guidelines for the evaluation of site-specific wind conditions, a measurement campaign should have at least 90% data availability during a consecutive 12-month period in order to be complete. However, obtaining this high data availability with a Doppler lidar can be a challenge in locations with small amounts of atmospheric aerosols, for example in the Nordic countries or mountainous regions. Regardless of the lower data availability, the data measured in these locations can still hold valuable information that can be used to reduce uncertainties in a wind resource assessment. Therefore, we suggest that instead of discarding data with less than 90% data availability, the uncertainties due to the lower lidar data availability should be quantified and considered in the wind resource assessment. This is in line with the upcoming IEC framework for the assessment and reporting of the wind resource and energy yield.
By Pyry Pentikäinen, Adviser, Kjeller Vindteknikk, Finland
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Windborne to Identify Yaw Misalignments Across a Large Fleet of Wind Turbines
According to a technical report by the National Renewable Energy Laboratory (referring to the multi-year Wind Plant Performance Prediction project), modern wind power plants in the United States were underperforming in their expected annual energy output by 3.5%–4.5%.’ [1] There are many potential causes of wind turbine underperformance. Among these are forms of underperformance caused by rotor-disrupted and/or poorly calibrated nacelle-based wind sensors that in turn feed inaccurate wind data to core wind turbine systems.
By Itay Mor, Boaz Peled, Alex Alpert, and Guy Yakir at First Airborne, Israel
To date, wind turbine underperformance has been mostly cost-prohibitive. The budget required to utilise incumbent first-rate wind measurement technologies has been, in most cases, higher than the potential revenue generated from optimising wind turbine energy generation.
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Using Drone Data to Calculate Blade Erosion AEP Loss
It is well-known that blade surface degradation, especially leading-edge erosion, leads to increased risk for turbine operators. The operational risk consists of structural and aerodynamic components, and both should be considered when planning the most effective site-specific operations and maintenance strategy.
By Nicholas Gaudern, Chief Technology Officer, PowerCurve, Denmark
