Australian Weekly Wind Power Generation Data – 14 November 2022 To 20 November 2022

Posted on Mon 11/21/2022 by

2


By Anton Lang ~

This continuing Series of Posts will detail the daily data for wind generation from all the Industrial Wind Plants on the major Australian Grid. This Series continues the data collection for all Australian wind power which was started on 1 October 2018. The original Series was started to show a definitive and accurate Capacity Factor Percentage for all the Australian wind plants on the main Australian power grid, and this new Series will continue to add to both of those Long Term Capacity Factor averages, shown directly under the Table below.

For an Introduction to this Series, and an explanation for the table, and the background, go to the following Post at the highlighted link. This introductory Post also shows the permanent link to all Posts in this Series.

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

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.

Wind Nameplate change from beginning of data collection on Monday 1 October 2018 – (then) 5301MW – (now) 9854MW – (Change) +4553MW (an increase of 86%)

Current Wind Nameplate Capacity – 9854MW

Day
And
Date
Total
Generated
Power
Average
Power
Capacity
Factor (%)
Power
To
Grid (%)
Monday

14Nov2022

106.68GWH 4445MW 45.11% 19.5%
Tuesday

15Nov2022

70.12GWH 2922MW 29.65% 12.4%
Wednesday

16Nov2022

59.04GWH 2460MW 24.96% 10.5%
Thursday

17Nov2022

35.95GWH 1498MW 15.20% 6.4%
Friday

18Nov2022

49.32GWH 2055MW 20.85% 8.9%
Saturday

19Nov2022

96.76GWH 4032MW 40.92% 18.4%
Sunday

20Nov2022

116.97GWH 4874MW 49.46% 22.3%
This

Week

534.84GWH 3183MW 32.31% 13.9%

Long Term Capacity Factor – 52 weeks – 30.30% (Last Week – 30.24%)

Long Term Capacity Factor – 216 weeks – 30.33% (Last Week – 30.32%)

Comments for this week.

Weekly Update

Again you can see how wind generation evened out across the week, when there were two really high days, one high day, one average day, one below average day, and two days well below the average, and overall, wind was just a tick higher than the year round average. That’s really nothing new in fact, as it always stays close to that year round average. You might see one week when it is really high, and that is evened out by a really low week. There’s not really much probability at all that wind generation will go much higher than this. It has been around that 30% figure now for more than four years, and any variations are so small as to hardly even register. Again you can see that the long term average for the most recent 52 week year again dropped a little to be closer to the more than four year average, but that also is up and down by only small increments each week as well.

Also this week, there were four or five occasions when wind generation dropped by really large amounts, and on the Sunday, one of those large falls showed a drop of 2200MW in just ten minutes, and that’s around 550 individual wind turbines going back to zero in that small time frame. When just ONE large scale (500MW +) coal fired unit fails, wind power supporters gleefully proclaim the unreliability of coal fired power, and here, with this fall of 2200MW in ten minutes on Sunday, well, that’s the equivalent of more than four of those coal fired Units dropping off line, and if that actually happened, wind supporters would be apoplectic in their rage at coal fired power. And, as I mentioned, there were another three or four times something similar happened during this last week.

*****

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.

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