plot_power_curve

Linear interpolation of a two-column table (<code>ws</code>, <code>power</code>
in kW). Set it with <code>ga_options(power_curve = curve)</code> or
<code>options(windfarmGA.power_curve = curve)</code>. While a curve is set,
park energy is the sum of those kW values instead of Cp * v^3.
Cut-in / rated / cut-out still apply only when no table is set.
If hub wind stays on the rated plateau after wakes, every layout
looks the same - use wind in the rising part of the curve.
Supply your own table (manufacturer data); the package does not
ship copyrighted curves.

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

plot_power_curve function

<dl><dt>curve</dt>
<dd>A data.frame with wind speed and power. Default is the
current <code>windfarmGA.power_curve</code> option.</dd>
<dt>plot</dt>
<dd>If <code>TRUE</code>, draw the curve. Default is <code>TRUE</code>.</dd></dl>

Arguments

Manufacturer power curve — plot_power_curve

<dl>

<dt>curve</dt>
<dd>A data.frame with wind speed and power. Default is the
current <code>windfarmGA.power_curve</code> option.</dd>


<dt>plot</dt>
<dd>If <code>TRUE</code>, draw the curve. Default is <code>TRUE</code>.</dd>

</dl>

plot_power_curve: Manufacturer power curve

Description

Usage

Value

Arguments

Examples