Abstract: A method for real-time prediction of wind conditions across a wind farm comprising a plurality of wind turbines, the wind farm being arranged at a wind farm site, is disclosed. A first library of site specific mean wind flow patterns related to the wind farm site, and a second library of non-site specific turbulence patterns, are provided. Weather data is measured at a plurality of positions within the wind farm site, and based on the measured weather data, a mean wind flow pattern is selected based on the first library and a turbulence pattern is selected based on the second library. A site specific wind flow field across the wind farm site is modelled, based on the selected mean wind flow pattern and the selected turbulence pattern, and wind conditions across the wind farm are predicted, based on the site specific wind flow field.

Abstract: A method for real-time prediction of wind conditions across a wind farm comprising a plurality of wind turbines, the wind farm being arranged at a wind farm site, is disclosed. A first library of site specific mean wind flow patterns related to the wind farm site, and a second library of non-site specific turbulence patterns, are provided. Weather data is measured at a plurality of positions within the wind farm site, and based on the measured weather data, a mean wind flow pattern is selected based on the first library and a turbulence pattern is selected based on the second library. A site specific wind flow field across the wind farm site is modelled, based on the selected mean wind flow pattern and the selected turbulence pattern, and wind conditions across the wind farm are predicted, based on the site specific wind flow field.

Abstract: A method for evaluating a performance prediction for a wind farm comprising a plurality of wind turbines is disclosed. The method comprises providing a siting model, said siting model being capable of predicting performance of a wind farm, based on performance estimates of individual wind turbines forming part of the wind farm; applying the siting model to one or more existing wind farms, thereby predicting performance of the existing wind farms; and comparing the predicted performance of the existing wind farms to historical performance data of the existing wind farms. The performance prediction provided by the siting model is evaluated, based on the comparison.

Abstract: A computer-implemented method for determining a site for a wind turbine within a confined geographical target region on the basis of an estimate of a maintenance parameter comprises determining a wind climate at the target region, the wind climate including e.g. average wind speed, pre-dominant wind directions, or turbulence intensities. A function expressing the maintenance parameter of the wind turbine as a function of the flow characteristics is defined, and the function is applied to the geographical position to compute an estimated value of the maintenance parameter at that position. Meteorological measurements may be used to obtain the flow characteristics. Wind measurements performed at one location may be numerically extrapolated by numerical methods, e.g. by CFD, to other locations. The maintenance parameter may be expressed as a maintenance risk, number of component replacements, or as a maintenance cost per energy unit. Three-dimensional visualization of wind turbines, e.g.

Abstract: A computer-implemented method for determining a site for a wind turbine within a confined geographical target region on the basis of an estimate of a maintenance parameter comprises determining a wind climate at the target region, the wind climate including e.g. average wind speed, pre-dominant wind directions, or turbulence intensities. A function expressing the maintenance parameter of the wind turbine as a function of the flow characteristics is defined, and the function is applied to the geographical position to compute an estimated value of the maintenance parameter at that position. Meteorological measurements may be used to obtain the flow characteristics. Wind measurements performed at one location may be numerically extrapolated by numerical methods, e.g. by CFD, to other locations. The maintenance parameter may be expressed as a maintenance risk, number of component replacements, or as a maintenance cost per energy unit. Three-dimensional visualization of wind turbines, e.g.