|
| 1 | +~~~~~~~~~~~~~~~~~~~~~~ |
| 2 | +Model description |
| 3 | +~~~~~~~~~~~~~~~~~~~~~~ |
| 4 | + |
| 5 | +Height correction and conversion of weather data |
| 6 | +================================================ |
| 7 | + |
| 8 | +Weather data is usually available for a restricted amount of heights above ground. |
| 9 | +However, for wind feed-in time series calculations weather data is needed at hub |
| 10 | +height of the examined wind turbines. Thus, the windpowerlib provides functions for the height |
| 11 | +correction of weather data. |
| 12 | + |
| 13 | +Functions for the height correction of wind speed to the hub height of a wind turbine are described in the |
| 14 | +:ref:`windspeedmodule-label` module. Respectively a function for the height correction of temperature data is provided in the |
| 15 | +:ref:`temperature_module_label`. Functions for density calculations can be found in the |
| 16 | +:ref:`density_module_label` |
| 17 | + |
| 18 | +If weather data is available for at least two different heights the respective figure at hub height |
| 19 | +can be determined by using linear or logarithmic inter-/extrapolation functions of the :ref:`tools_module_label` module. |
| 20 | + |
| 21 | + |
| 22 | +Power output calculations |
| 23 | +========================= |
| 24 | +Wind feed-in time series can be calculated via power curves and power coefficient curves in the windpowerlib. |
| 25 | +Functions for power output calculations are described in the :ref:`poweroutput_module_label` module. |
| 26 | + |
| 27 | +Wake losses |
| 28 | +=========== |
| 29 | +The windpowerlib provides two options for the consideration of wake losses in wind farms: |
| 30 | +reduction of wind speeds and wind farm efficiency (reduction of power in power curves). |
| 31 | + |
| 32 | +For the first option wind efficiency curves are provided which determine the |
| 33 | +average reduction of wind speeds within a wind farm induced by wake losses depending on the wind speed. These curves |
| 34 | +were taken from the dena-Netzstudie II and the dissertation of Kaspar Knorr |
| 35 | +(for references see :py:func:`~.get_wind_efficiency_curve`). |
| 36 | + |
| 37 | +todo: add graph of provided curves |
| 38 | + |
| 39 | +The second option of considering wake losses is applying them to power curves by reducing the power values |
| 40 | +by a constant or a wind speed depending wind farm efficiency (see :py:func:`~.wake_losses_to_power_curve`). |
| 41 | +Applying the wind farm efficiency (curve) to power curves instead of to feed-in time series has the advantage that the |
| 42 | +power curves can further be aggregated to achieve turbine cluster power curves (see WindTurbineCluster in :ref:`classes_label` section). |
| 43 | + |
| 44 | +Smoothing of power curves |
| 45 | +========================= |
| 46 | + |
| 47 | +To account for the spatial distribution of wind speeds within an area the windpowerlib provides a |
| 48 | +function for power curve uses the approach of Nørgaard and Holttinen (for references see :py:func:`~.smooth_power_curve`). |
| 49 | + |
| 50 | + |
| 51 | +The modelchains |
| 52 | +=============== |
| 53 | + |
| 54 | +The modelchains are implemented to ensure an easy start into the Windpowerlib. They work |
| 55 | +like models that combine all functions provided in the library. The :ref:`modelchain_module_label` is a model |
| 56 | +to determine the output of a wind turbine while the :ref:`tc_modelchain_module_label` is a model to determine |
| 57 | +the output of a wind farm or wind turbine cluster. |
| 58 | +The usage of both modelchains is shown in the :ref:`example_section_label` section. |
| 59 | + |
| 60 | + |
0 commit comments