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Add graph to model description
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doc/model_description.rst

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@@ -6,7 +6,7 @@ Wind power plants
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=================
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The windpowerlib provides three classes for modelling wind power as wind turbines (:py:class:`~.wind_turbine.WindTurbine`),
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wind farms (:py:class:`~.wind_farm.WindFarm`) and wind turbine clusters (:py:class:`~.wind_farm.WindFarm`).
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wind farms (:py:class:`~.wind_farm.WindFarm`) and wind turbine clusters (:py:class:`~.wind_turbine_cluster.WindTurbineCluster`).
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Descisptions can also be found in the sections
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:ref:`wind_turbine_label`, :ref:`wind_farm_label` and :ref:`wind_turbine_cluster_label`.
@@ -44,12 +44,15 @@ average reduction of wind speeds within a wind farm induced by wake losses depen
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were taken from the dena-Netzstudie II and the dissertation of Kaspar Knorr
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(for references see :py:func:`~.get_wind_efficiency_curve`).
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The following graph shows all provided wind efficiency curves. The mean wind efficiency curves were calculated in
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the dena-Netzstudie II and by Kaspar Knorr by averaging wind efficiency curves of 12 wind farm distributed over Germany (dena) or
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the dena-Netzstudie II and by Kaspar Knorr by averaging wind efficiency curves of 12 wind farms distributed over Germany (dena) or
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respectively of over 2000 wind farms in Germany (Knorr). Curves with the appendix 'extreme'
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are wind efficiency curves of single wind farms that are extremely deviating from the respective
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mean wind efficiency curve.
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todo: add graph of provided curves
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.. image:: _files/wind_efficiency_curves.svg
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:scale: 99 %
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:alt: Wind efficiency curves
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:align: center
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The second option of considering wake losses is applying them to power curves by reducing the power values
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by a constant or a wind speed depending wind farm efficiency (see :py:func:`~.wake_losses_to_power_curve`).

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