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:
Cell | Description (values are in hours) |
---|---|
Column A | Wind farm name (if "default", no wind farm name has been added). |
Column B | Component (task) name. |
Column C | Simulation year (based on the number of years the simulation was run). |
Column D | Displays the average value for the component downtime - the average is calculated by all the P-values for that year. |
Column E | Displays the P10 value for the downtime. |
Column F | Displays 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 I | Displays the P50 value for the downtime. |
Column J | Displays 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). |