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doc/whatsnew/v0-1-0.txt

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@@ -13,7 +13,7 @@ New functions
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* power curve smoothing for taking into account the spatial distribution of wind speed
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* application of wake losses to a power curve
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* application of wake losses to a wind speed time series
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* application of wake losses to a wind speed time series by using wind efficiency curves which are provided in the data directory
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* logarithmic interpolation/extrapolation for wind speed time series
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* gauss distribution
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* estimation of turbulence intensity by roughness length
@@ -31,10 +31,22 @@ Documentation
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* added second example section and jupyter notebook
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API changes
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###########
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* renamed attribute 'turbine_name' of WindTurbine object to 'name' to match with 'name' attribute of WindFarm and WindTurbineCluster
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* renamed `basic_example` to `modelchain_example`
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* renamed column 'values' of power curves to 'power' and column 'values' of power coefficient curves to 'power coefficient'
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* renamed `run_basic_example()` to `run_example()`
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* renamed parameter `wind_turbine` of `ModelChain` object to `power_plant`
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* removed parameter `density_correction` from `power_plant.power_coefficient()`
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Other changes
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#############
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* removed deprecated attributes (.ix)
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* renamed examples according to modelchains
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* added `turbine_cluster_modelchain_example` showing the usage of the TurbineClusterModelChain
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Contributors
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############

windpowerlib/power_output.py

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@@ -142,7 +142,6 @@ def power_curve(wind_speed, power_curve_wind_speeds, power_curve_values,
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def power_curve_density_correction(wind_speed, power_curve_wind_speeds,
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power_curve_values, density):
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# possible TODO: add density correction for stall controlled wind turbines
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r"""
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Calculates the turbine power output using a density corrected power curve.
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