Retired engineer. Interested in clean hydrogen as energy currency, economic systems where endless growth isn’t a built in requirement, and areas of science, archeology and technology where new discoveries and new data are contradicting established narratives.
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/
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/
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/
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
/1
For 45 years I’ve been hearing that renewables particularly solarPV are the future of energy grids. Costs of the PV collector portion of such a system have declined substantially over that time.
I’m a big believer in real live data over theoretical models. I am now in a position to create my own little experimental dataset. I live in Ontario on a rural property.
#solarPV
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/
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/
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/
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
/1
For 45 years I’ve been hearing that renewables particularly solarPV are the future of energy grids. Costs of the PV collector portion of such a system have declined substantially over that time.
I’m a big believer in real live data over theoretical models. I am now in a position to create my own little experimental dataset. I live in Ontario on a rural property.
#solarPV