The output will show, in hours, the time the power production will be down due to specific components/services.


For example, the following values are given:

  • Number of turbines: 40
  • Component/service: safety check once a year recurrence
  • Estimated working hours: 8 h

Then can be calculated: 40 * 8 h = 320 h estimated working hours for safety check in the year and the wind farm. Therefore, 320 hours of downtime.

An example file is found on the bottom.

Description of the outputs:

CellDescription (values are in hours)
Column AWind farm name (if "default", no wind farm name has been added).
Column BComponent (task) name.
Column CSimulation year (based on the number of years the simulation was run).
Column DDisplays the average value for the component downtime - the average is calculated by all the P-values for that year.
Column EDisplays the P10 value for the downtime.
Column FDisplays the P20 value for the downtime.
Column G
Displays the P30 value for the downtime.
Column H
Displays the P40 value for the downtime.
Column IDisplays the P50 value for the downtime.
Column JDisplays the P60 value for the downtime.
Column K
Displays the P70 value for the downtime.
Column L
Displays the P80 value for the downtime.
Column M
Displays the P90 value for the downtime.
Column N
Displays the minimum value between the different P-values. 
Column O
Displays the maximum value between the different P-values.
Column P
Displays the standard deviation. You can read more about the standard deviation on the Wikipedia page.
Column Q
Displays the minimum confidence interval (read more about confidence interval here).
Column R
Displays the maximum confidence interval (read more about confidence interval here).