Australian Daily Wind Power Generation Data – Sunday 25 September 2022 – Plus Weekly Update

Posted on Mon 09/26/2022 by


By Anton Lang ~

This will be the last of these daily Posts in this Series. I have been collecting, calculating, and Posting this wind data on a daily basis now for the last four years, as indicated by the Long Term Capacity Factor I show at the very bottom of this Post two lines above the Comments for the day, where it shows that Long Term figure after 208 weeks, the full four years, so 1,461 separate Posts in all. It is a relatively time consuming thing, and takes me around an hour an a half each day to do it all, and a half hour extra for the Weekly Update for that Sunday Post. I find now (with age I suppose) that perhaps I should be spending a little less time in front of the computer each day, so I’m looking to make some economies of time. I started the Series to give a definitively accurate percentage for the Capacity Factor for wind generation. I was told that the figure I had been using for so long of 30% for that CF was anecdotal at best, and highly suspect, as it was in fact quite higher than that. (or so I was told anyway) So I started the Series to see what it was, one way or the other, and to have that definitive proof on what it was. Okay, so, scroll forward these intervening four year to this very day, right now, today and look at the figures for the Long Term Capacity Factor at the bottom of this Post, and BOTH numbers are at ….. 30.4%. Well, what do you know? Who would have thought that?

So now, it would be a shame to lose all of that, just by stopping Posting it all, and if I stopped, there is always the probability that those wind supporters might say ….. “Yeah! That might have been the case back then, but it’s a lot higher now.” So, I had to find a way to keep it all going, only in a manner that saved me some time each and every day, and to that end, it WILL keep on going, only in a different format. Each day, I will be collecting the major points of data for wind generation and showing those on a Table which will show all seven days of the week, and at the end of each week, the averages for that week, and the continuation of both Long Term Capacity Factor percentages.

This is the link below to the Introductory Post in that new Series, which will be at our site here as a Sticky Post at the top for the site’s Home Page, and at that Post is the link for each of the new Posts in the Series, and that weekly data will again, be at the top of the site, updated daily, and posted each day.

Australian Weekly Wind Power Generation Data – And Permanent Link To All Data Posts

This Post details the daily wind power generation data for the AEMO coverage area in Australia. For the background information, refer to the Introductory Post at this link.

Each image is shown here at a smaller size to fit on the page alongside the data for that day. If you click on each image, it will open on a new page and at a larger size so you can better see the detail.

Note also that on some days, there will be a scale change for the main wind power image, and that even though images may look similar in shape for the power generation black line on the graph when compared to other days, that scale (the total power shown on the left hand vertical axis) has been changed to show the graph at a larger size to better fit the image for that graph.

Sunday 25 September 2022

Total Wind Power Generation

This image shows the total power generated across the whole day by every wind plant in this vast AEMO coverage area for Australia.

The total Nameplate for all these wind plants changes as each new wind plant comes on line delivering power to the grid. That current Nameplate is 9854MW, and this is from the current total of 76 wind plants.

Note that the shape of this wind power load curve does not follow the shape of the main load curve for total power generation, and that is seen in the image below, the solid black line across the top of the image for that graph. Wind power generates its power only when the wind is blowing, hence it does not follow the actual power generation Load Curve, which is also the the exact same shaped curve as for actual power consumption.

For this data, I have added the times for the daily minimum, and the daily maximum, to show how they do not correlate with the actual times of minimum power consumption (around 4AM each day) and maximum power consumption, the evening Peak. (at around 6.40PM in Winter and earlier during the Summer Months.)

Daily Minimum – 845MW (12.30PM)

Daily Maximum – 1904MW (11.20PM)

Average Wind Generation – 1297MW

Total Generated Power – 31.12GWH

Percentage Supplied By Wind Power At The Low Point For The Day – 3.6%

Percentage Supplied By Wind Power At Peak Power For The Day – 1324MW of 24463MW – 6.45PM – 5.41%  (Mid afternoon Peak with maximum rooftop solar added was 22589MW at 3.30PM)

Average Percentage Of Overall Total Power Generation – 6.0%

Daily Operational Capacity Factor – 13.16%

Wind Power Generation Versus Total Power Generation

This image shows the total power generated from all the wind plants in this AEMO coverage area, and compares it to the overall total generated power from every source of power generation, which is the black line at the top of the graph. Wind power is the green coloured area, along the bottom of this graph.

While the green colour in this image looks to be a different shape to the graph above, keep in mind here that the scale is completely different, and that green coloured Wind total is the same as for the image shown above, only with the scale changed so it can fit onto the graph.


  1. Finding Wind Power Average – On the graph, there are 25 hourly time points, starting with midnight and finishing with midnight. I have added the total at each of those hourly time points together, and divided the resultant total by 25 to give an average in MegaWatts. (MW)
  2. For total power in GWH, multiply the average daily power by 24, and then divide by 1000.
  3. For the Capacity Factor, that is calculated by dividing the average wind generation by the current Nameplate and then multiplying that by 100 to give a percentage.


Generated wind power total as a Percentage of overall total generated power from every source for this last week – 9.9%

Generated wind power total as a Percentage of overall total generated power from every source for the last year (52 weeks) – 12.1%

Capacity Factor for wind power generation for the last week (7 days) – 22.86%

Capacity Factor for wind power generation for the last year (52 weeks) – 30.40%

Capacity Factor for wind power generation for the longer term (208 weeks) – 30.38%

Nameplate change from beginning of data collection – (then) 5301MW – (now) 9854MW – (Change) +4553MW (an increase of 86%)

Comments For This Day

Wind generation was lower on this day than it was on the day before, and the average for this day of 1297MW gave wind generation a daily operational Capacity Factor of 13.1%, and that was seventeen percent lower than the year round average. Wind was not much higher than its low for the day at the usual time of the evening Peak of maximum power consumption, and at that time, wind was delivering just 5.4% of all the power generated from every source. Even on a day like this one of low overall power generation across the whole day, there was still a relatively substantial difference between the low for the day and the high, and for this day that gap was 1059MW. Again, in that area where there is the largest concentration of wind plants across the Country (two thirds of the total wind power Nameplate for the Country) wind generation fell to a low point where all of that wind generation was only operating at a little more than just a pitiful 5% of its Capacity.


Anton Lang uses the screen name of TonyfromOz, and he writes at this site, PA Pundits International on topics related to electrical power generation, from all sources, concentrating mainly on Renewable Power, and how the two most favoured methods of renewable power generation, Wind Power and all versions of Solar Power, fail comprehensively to deliver levels of power required to replace traditional power generation. His Bio is at this link.