wind_from_series

Bin a time series of hub-height speed and meteorological
direction into <code>ws</code> / <code>wd</code> / <code>probab</code>.

The genetic algorithm is designed to optimize wind farms of any shape. Each layout is encoded as n unique grid-cell identifiers. It requires a predefined amount of turbines, a unified rotor radius and an average wind speed value for each incoming wind direction. A terrain effect model can be included that downloads an 'SRTM' elevation model and loads a Corine Land Cover raster to approximate surface roughness.

Sebastian Gatscha

windfarmGA

Genetic Algorithm for Wind Farm Layout Optimization

wind_from_series function

<dl><dt>ws</dt>
<dd>Wind speed (m/s).</dd>
<dt>wd</dt>
<dd>Direction in degrees (0 = north, clockwise, where the wind
comes from).</dd>
<dt>dir_width</dt>
<dd>Width of direction bins in degrees. Default is 30.</dd></dl>

Arguments

Wind rose from speed and direction series — wind_from_series

<dl>

<dt>ws</dt>
<dd>Wind speed (m/s).</dd>


<dt>wd</dt>
<dd>Direction in degrees (0 = north, clockwise, where the wind
comes from).</dd>


<dt>dir_width</dt>
<dd>Width of direction bins in degrees. Default is 30.</dd>

</dl>

wind_from_series: Wind rose from speed and direction series

Description

Usage

Value

Arguments

See Also