Here are the average capacity factors of every Danish offshore wind farm, newly updated to include data to the end of 2017. The Anholt 1 windfarm, which only opened in 2013, had a storming year, and reached an average capacity factor of 53.7% for the full year 2017. Compare these with the capacity factors for German, and UK, and Belgian offshore wind farms.
Danish windfarms also include the most productive wind turbines in the world, at Rønland I: the turbines have been operating for over 14 years now, with a lifetime capacity factor of 44.5%; of its eight turbines, four are rated at 2.3MW peak power, and each of those four had by the end of July 2014 generated over 100 GWh: the first turbines to pass that milestone.
And, for the first time, I’ve had to update the calculations for a new phenomenon: the first decommissioning of a commercial offshore windfarm: Vindeby generated its last electricity in February 2017, after a remarkable 25 years of life.
Nissum Bredning is the newest offshore windfarm in Denmark – a demonstration site with four prototype turbines. Those turbines appear in the data, but there’s no generation recorded for them yet.
Load duration curves
Here’s for each of the offshore windfarms for which there is detailed hourly data from ENTSOE (from the start of 2015 to the end of 2017). 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.
Just as with the UK offshore windfarm capacity factors, these capacity factors are calculated by calculating, for each turbine in a given wind farm, the number of hours since it was first connected to the grid. This is then multiplied by its capacity, to give the number of peak-MW-hours. These figures are summed across all turbines in a wind farm, and divided into the total energy generated by that wind farm, to give its capacity factor.
Power yield per unit surface area spanned is only calculated for the larger windfarms: when a windfarm is just a single row of turbines, it doesn’t have a well-defined surface area spanned. These yield figures represent 90% of the installed capacity.