Germany’s offshore wind capacity factors

Posted by – 2017/07/06

Previously I’ve provided the figures for Danish offshore windfarms, and for the UK too. Now here are the numbers for the larger German offshore windfarms. The ones shown here are the only ones I’ve been able to get detailed data for, so far.

German offshore wind capacity factors

All numbers are to the end of June 2017. Analysis by
Age (y)Installed
elec. gen.
Power per
unit area
spanned (W/m2)
Rolling 12-month
capacity factors
Total40.1%40.7%279611 1113.2
Amrumbank West42.7%44.1%1.73021 8464.0
Bard Offshore 134.7%0.2400273
Borkum Riffgrund I40.6%42.0%1.73121 9763.6
DanTysk54.3%50.4%2.22882 0852.2
Gode Wind I39.3%0.133097
Gode Wind II38.2%0.125272
Nordsee Ost 137.8%36.6%2.11449812.9
Nordsee Ost 238.2%36.9%2.11449942.9
Windpark Baltic 1 & 245.9%46.5%1.73362 2854.2

Load duration curves

I’ve constructed for each of the offshore windfarms for which there is detailed hourly data. Use the pause and play buttons to stop and start the sequential display of curves. Click on the windfarm name in the legend to toggle the display of that farm’s curve.


Note that for each individual windfarm, its curve is based on data starting from the date that the windfarm was fully commissioned, and the windfarm’s age is calculated as starting at that date. There is one exception: the Bard Offshore Windfarm was fully commissioned in August 2013, but detailed data on its generation is only available from spring 2017 onwards – so the “age” shown for this windfarm is the age of the oldest available data, not the age of the windfarm itself.

The numbers for DanTysk did look strange: I had to clean a stretch of five months of data that was clearly wrong. A small kink remains in its load duration curve; this may be an artifact of some of the problematic data.

Windfarms less than a year old are excluded from the calculations of the power density per unit area spanned. The figure for total power density is a weighted average of the windfarms that are a year older or more: this is weighted by size, but not by time. So a windfarm that’s twice as large contributes twice as much to the total; whereas a windfarm that’s twice as old, does not.


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