Wind Industry

To be profitable, wind farm operators need accurate assessments of wind to ensure turbines are at their most effective. Leosphere’s product range is unique in the industry. From development, through commissioning, operation and maintenance to repowering, we offer wind measurement Lidars to meet the requirements of all wind farm projects. Short-range or long-range, from the ground or from the nacelle, we provide remote measurements to a high degree of accuracy to help wind experts achieve maximum value from their investment.

Power Performance Testing

Power Performance Testing (PPT) is a traditionally time-consuming and expensive process. But WindCube Nacelle, coupled with the WindCube Insights – Analytics software platform, provides power performance calculation and data integration capabilities that turbine users have often needed to develop in-house, typically at great cost.

The system integrates both lidar and turbine data (including time synchronization) for calculations as accurate as what can be achieved using met masts. It also enables analysis of a variety of related factors, such as over- or under-performance.

With its accuracy, simplicity, and actionable intelligence, WindCube lidar makes IEC-compliant filtering, AEP calculations, and uncertainties reporting available to any user.

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Performance optimization

For existing wind farms, our solution is focused on power performance optimization. Seeing the wind exactly as the turbine itself experiences it is essential for meaningful performance analysis. Positioned on top of the nacelle, our Lidar systems measure, log and characterize the approaching wind at hub height.

This information is the link that is often missing between your turbine “fuel” – the wind – and your energy production. It allows you to analyze your turbines and wind farms in different ways, depending on your focus of interest:

  • Power curve measurements: measuring the correlation between the wind speed and the output power of the turbine, and comparing this measurement with the contractual power curve
  • Yaw error correction: measuring and correcting the angle of turbines in relation to the wind direction, resulting in potentially substantial increases in revenue
  • Nacelle anemometer calibration: accurate site-specific calibration of nacelle anemometers to improve SCADA monitoring values
  • Wind sector management: 360° analysis of turbulence intensity to maximize energy capture and decrease loads

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Wake & Forecasting

Thanks to the versatility of wind Lidars, new applications are now emerging in the wind research community, such as wake studies, wind farm forecasting optimization, feed-forward turbine control, wind farm management, etc.

Wake studies

Since the wind inflow determines the power output and the mechanical loads experienced by each turbine, assessing wakes is a key factor for the evaluation of the annual energy production of a wind-farm and the optimization of the wind farm layout.

The wake is the flow region downstream to a wind turbine, which is a step-order different from the inflow to the turbine in terms of wind speed and turbulence. The wake generated by the first array of turbines affects the wind that the second array will experience.

The combination of a scanning Lidar with a Wind Iris turbine-mounted LIDAR provides a comprehensive characterization of wake effects, at short and long distances simultaneously. It captures real-time wake effects in a wind farm, from turbine to turbine. This type of assessment can be done onshore or offshore, whatever the size of the wind farm and whatever the positioning and the size of the turbines.

Forecasting optimization

Power forecasting is the ability to predict the energy that will be produced by a wind farm in a mid to long-term time-line. For this application, the Lidar is the perfect tool required to perform remote measurements at a wind farm in order to estimate the upcoming wind.

Mid- to long-term forecasting is also crucial in terms of data assimilation in order to improve forecasting models with high-quality data on-site and off-site with a network of Lidars. Indeed, the profitability of a wind farm is measured by the total power output over the capital investment to build the farm. This calculation is entirely built on a power forecast – and hence on measurement of wind energy.

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Feedforward turbine control

The turbine-mounted Lidar fully characterizes the incoming wind field, measures its turbulence and shear, and captures extreme events such as gusts and wind direction changes. By incorporating this information in the turbine controller, informed and sound actions can be taken to reduce fatigue and extreme loads on critical components, and increase the potential power extracted from the wind.

These load reduction benefits are useful in customizing existing wind turbines to further reduce LCOE or designing larger wind turbines to increase Annual Energy Production, saving CAPEX by designing lighter wind turbines, and OPEX by increasing the lifetime of components and reducing O&M costs.

Leosphere works with leading wind turbine manufacturers on the integration of our technology into their turbines, providing engineering and scientific expertise to ensure the successful deployment of Lidar-assisted control at scale.

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