Toots for icanbob@techhub.social account

Written by Icanbob on 2024-09-08 at 16:01

Despite California being the “poster child” for how to build a renewable grid; like Ontario, during a heat wave they depend on natural gas generation to run air conditioning.

[#]solarPV #renewableenergy

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Written by Icanbob on 2024-09-06 at 15:02

I believe that renewables need to be compared to other power sources on an equal 24/7 supply basis. I created this spreadsheet model for Ontario and published the results below.

This 24/7 model is in the public domain. I am looking for volunteers to apply this model to UK, Germany, Netherlands,Australia and any other renewable jurisdiction.

If you are interested contact me on my Mastodon account.

https://energyasicit.ca/WindModel/

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Written by Icanbob on 2024-08-14 at 10:33

Looked like wind in Ontario was coming out of the slump for last few days, but 2024Aug13 was lowest daily wind production yet.

[#]wind

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Written by Icanbob on 2024-08-09 at 15:18

In an ideal world this connection between the wind turbines and the electrolyser units could be done “virtually” via the grid. Ie. real time wind production data could be relayed to electrolyser loads. This would allow electrolysers to be located in CHP settings where waste heat could be used.

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Written by Icanbob on 2024-08-09 at 15:18

Ontario’s wind production from 2024Jan1 to Aug8 is 8TWh. If this production was dedicated to green H2 using Bloom’s solid oxide electrolyser it could have produced

8/37.5*1000000000/1000=212000tonnes H2=7% of Canada’s annual H2 consumption=2.12million tonnes SMR CO2 offset=0.3% of Canada’s annual CO2

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https://www.bloomenergy.com/wp-content/uploads/bloom-energy-electrolyzer-datasheet-december-2023.pdf

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Written by Icanbob on 2024-08-09 at 14:19

Wind slump in Ontario continues. My 1GW 24/7 model now needs 375GWh of storage to level out this slump. Since 2024 July1 there have only been 5 days where wind production exceeded 24GWh in a day. Since my model prioritizes storage refill when there is “surplus” we get the flat line portion in the graph below.

[#]wind

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Written by Icanbob on 2024-07-29 at 15:10

The wind slump in Ontario continues. It is now taking 245GWh of storage to allow 1GW 24/7 to navigate this slump. Weather continues to be hot with very little wind so Ontario is air conditioning with nat gas.

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Written by Icanbob on 2024-07-27 at 10:50

Wind slump continues in Ontario. My model now requires 210GWh to hold 1GW 24/7 through this slump.

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Written by Icanbob on 2024-06-30 at 14:20

While the analysis process described below may not accurately represent how renewables are going to be deployed in mixed grids, it does represent a simple standardized way to compare renewable deployments. All it requires is an hourly dataset of renewable production and a spreadsheet. The Google sheet formulas are published below. I’ll gladly help anyone to recreate this analysis for their geography.

[#]solarPV

[#]wind

[#]renewables

https://energyasicit.ca/WindModel/

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Written by Icanbob on 2024-06-22 at 12:24

Even worse 2024June21. Gas 110290MWh. Wind 3213MWh. Wind in Ontario continues to be absent exactly when air conditioning demand requires it. 4-8 hour storage would do nothing for a multi day lull.

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Written by Icanbob on 2024-06-21 at 12:27

In Ontario we are burning vastly more gas to run air conditioning during current heat wave. Just when the heat turns up the wind dies off.

[#]wind

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Written by Icanbob on 2024-06-19 at 13:08

Same exploration for Ontario’s grid connected solar PV farms yields. 438MW nameplate. 77MW hourly avg since 2024Jan1. 0.3TWh. If one wants 50MW 24/7 would need 25GWh for seasonal storage. Surplus only begins at beginning of Apr and is consistent from May1.

[#]solarPV

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Written by Icanbob on 2024-06-13 at 15:01

The cost of renewable collector systems such as wind turbines and solar PV panels continues to decline. This has often been used as a reason why policy should favour more build out. Allow me to explore this question using Ontario’s wind data.

https://energyasicit.ca/WindModel/

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Written by Icanbob on 2024-06-10 at 13:53

It has often been argued that hydrogen makes a poor electricity storage medium because of the round trip inefficiencies associated with the kinetics of electrolysis and fuel cells. Allow me to offer a different perspective.

https://energyasicit.ca/Currencies/

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Written by Icanbob on 2024-03-13 at 12:56

The prevailing narrative states that “all renewables’ need is more storage” to satisfy all needs. The IEA states that the world has 8.5TWh of pumped hydro storage which represents 90% of all grid storage. My GSHP home in Ontario requires 4.3MWh of solarPV seasonal storage to navigate winter. 8.5TWh/4.3MWh=~2M homes or only 70% of single family homes in Ontario. Clearly the chasm between the narrative and reality is huge.

https://www.iea.org/energy-system/electricity/grid-scale-storage

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Written by Icanbob on 2024-03-08 at 19:52

@icanbob/111534501325422430 Many have encouraged me to publish this experimental dataset. The draft of that effort is now online on my webhosting page. I’ve added an hourly wind dataset to the hourly home electricity and solarPV datasets and they are published also.

http://energyasicit.ca/solarPVpaper2/

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Written by Icanbob on 2024-03-08 at 19:52

@icanbob/111534501325422430 Here is the latest solar data up to 2024Mar01 in graphical form. We now need 4.3MWh of seasonal storage in tank on Nov 1 to get us through the winter. GSHP load is dropping as weather warms. SolarPV output is picking up as the days grow sunnier and longer. Graph also shows what seasonal storage would be required if the solar array was doubled in size.

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Written by Icanbob on 2024-03-08 at 19:52

In my previous pinned post I described an ongoing data collection experiment between 2 proximate homesteads in Southern Ontario attempting to answer the question. “Can solarPV power a GSHP home in S. Ontario.

https://techhub.social/@icanbob/111534501325422430

[#]solarPV #wind

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Written by Icanbob on 2024-02-14 at 11:39

To further clarify. I’m looking for a fudge factor which can be used to convert hourly solarPV data as

kWht (for co-located vacuum tube collector) =

kWhe (from existing solar PV) * fudge factor

[#]solarPV

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Written by Icanbob on 2024-02-13 at 15:11

Any idea how one might be able to estimate solar thermal kWh/m2 from a solarPV hourly dataset at same location? ie. if solar thermal panels were located in close vicinity to solar PV panels how much heat would one expect?

[#]solarPV

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