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Energy Capture

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The theory and validation work can be found in the document "Openwind Theory and Validation," which is available online.

In short, Openwind contains a standard energy capture routine which, by default, sums the energy produced by the turbines over 72 directions and 71 wind speeds (0 m/s to 70m/s in 1m/s steps). For each direction and wind speed, it calculates the air density at each turbine, and the probability of the wind coming from that direction at that wind speed for each turbine. It also calculates the wake losses due to other turbines and modifies the wind speed at each turbine before entering that wind speed into the power curve.

Openwind contains a number of basic and deep array wake models. In addition, the user can run the energy capture with no wake effects.  The basic wake models are covered in Basic Wake Models.  The Deep Array Wake Models (DAWM) are only available in the Enterprise version of Openwind and are essential for estimating wake losses for utility-scale wind farms.  Deep Array Wake Models are covered in Section 34.

The parameters for each wake model can be accessed individually from the Settings menu.

The Energy Capture settings can be accessed by going to the Settings menu and selecting Energy Capture. Figure 115 shows the energy capture settings dialog.

There are two sets of energy capture settings. The top set is used during layout optimisation. An optimisation runs thousands of energy capture calculations, and Openwind provides the option of running an abbreviated energy capture that only covers the wind speeds over which the turbine is producing significant power. The bottom set is used when calculating a full energy capture (also known as "Testing"). For the full energy capture, it is important to calculate across the entire range of wind speeds.

 

EC1

Figure 116:  Energy Capture Settings

 

It is recommended that the number of sectors of the energy capture is an odd multiple of the number of sectors of the WRG (and the TAB file, if used). Whilst the code is written to allow overlaps, we have found in some cases it can cause unpredictable results. Generally, we recommend that calculation steps should be at most around 4-5 degrees wide in order to obtain a good precision in the wake model. Smaller sectors are not considered to increase the accuracy of the calculations but can be useful when considering wind sector management perhaps. In short, the safest bet when using a 12 sector WRG is to use a 12 sector met mast frequency table with 84 (12x7), 108 (12x9) or 180 (12x15) direction steps. Similarly, when using a 16 sector WRG you would be safest to use 80 (16x5) or some other odd multiple of sectors. For a 36 sector WRG, use a 36 sector wind frequency table with a minimum of 108 (36x3) or 180 (16x5) direction steps. Fortunately, in cases where we do need to use 360 direction steps, the amount of the energy capture calculation that is subject to overlaps diminishes.

When associating a TAB file, the energy capture uses the probabilistic distribution defined in the frequency table for every turbine associated with that mast. the WRG or WindMap object is used merely to scale the wind speed that is input to the power curve.  

With the “Apply directional correction when using frequency table” option checked, the directional distribution at the mast is modified so that the overall probability of a sector is scaled by the ratio of the likelihood of that sector in the WRG at the turbine over the likelihood of that sector in the WRG at the mast. This permits considering the wind rose of the Adjusted WRG one instead of using the one of the associated mast. In figure 117 it is shown the sectorial directional frequency, mean wind speed and wind speed distribution considered at a certain turbine location by applying or not the “Apply directional correction when using frequency table” option.

 


No Directional Correction

With  Directional Correction

Per Sector

Directional Frequency

(Fsect)

Associated Mast

Adj WRG

Mean Wind Speed (WSsect)

Adj WRG

Adj WRG

Wind Speed Distribution

(WSDsect)

Associated Mast

Associated Mast

Total

Mean wind speed

Average(Fsect x WSsect)

Combination of sectorial Adj WRG wind speeds and Mast wind rose

Adj WRG

Wind speed distribution

Average(Fsect x WSDsect)

Associated Mast

Combination of sectorial Mast distributions and Adj WRG wind rose

Figure 117:   Effects of Applying or Not the Directional Correction

 

Applying or not this option will lead to different total mean wind speeds and speed distributions:

No Dir Correction: The total mean wind speed may not match the one of the adjusted WRG as it results from a combination of sectorial Adj WRG wind speeds and Mast wind rose

With Dir Correction: The total wind speed distribution may not match the one of the mast as it results from a combination of sectorial mast distribution and Adj WRG wind rose

The option to be able to “Scale speed-ups” is really more of a research tool. Leaving it as one is the default. Giving it a value above one would exaggerate the influence of the wind-flow model whereas setting it to zero would eliminate the influence of the wind-flow model.

The option to “scale all wind speeds” can be used to carry out a more in-depth sensitivity test by re-running an in-depth energy capture with everything the same except wind speeds scaled up or down (and the corresponding decrease or increase in ambient TI).

The option to "Apply topographical correction to wakes when using frequency tables" is used to apply speed-ups to the value of the thrust coefficient used to calculate the wake from a turbine. Its goal is to take terrain into account while calculating wakes.

Uncertainty is covered in Uncertainty. Time series energy capture is covered in Time Series Energy Capture.

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