Chris Nelder 🤘Sep 6, 2024
New book from physicist MV Ramana of the University of British Columbia: "Nuclear is Not the Solution: The Folly of Atomic Power in the Age of Climate Change" is out now. https://www.theguardian.com/environment/article/2024/sep/04/mv-ramana-why-nuclear-power-not-solution-energy-needs
Physicist MV Ramana on the problem with nuclear power

Nuclear is costly, risky and slow, Ramana says. Why then, he asks in his new book, do governments still champion it?

The Guardian
Show threadIcanbobSep 6, 2024

@chrisnelder The question is then what? In Ontario it is certainly not solar or wind. My simple 1GW 24/7 model of Ontario’s wind says we would need $21 billion in $50kWh storage to navigate the >10 week summer wind slump. All at a time when Ontario’s air conditioning load is highest. In Ontario we heat and cool with nat gas.

https://energyasicit.ca/WindModel/

Show threadDan Neuman 🇨🇦Sep 6, 2024
@icanbob @chrisnelder We can't and don't have just wind though. Solar and wind complement each other, with wind being stronger in winter and solar being stronger in summer. And on top of that we have over 1 GW of hydropower. Our current nuclear is being refurbished, but we'll eventually have to replace 10 GW worth over the next 25 years. Battery costs are plummeting, so it'll be cheaper to replace it with renewables than with new nuclear.
Show threadIcanbobSep 7, 2024
@dan613 @chrisnelder I’ve been at this for over 45 years and have heard all the standard “you need to’s”. I prefer actual real world data. In Ontario there are 2 seasonal wind lulls; one in hot summer and other in dead of winter. Solar can help smooth the summer chasm but struggles with the winter one. My 1GW 24/7 combo model for Ontario still would need 43GWh of storage per GW. Using NREL numbers for flow batteries that is $17.2 billion/GW.
Show threadDan Neuman 🇨🇦
@icanbob @chrisnelder What learning rate did you use in your model?
Sep 7, 2024 at 11:54amWeb
Show threadIcanbobSep 7, 2024
@dan613 @chrisnelder Not that sophisticated. My model simply takes IESO published hourly data for Ontario and aggregates it. I impose a 1 GW 24/7 requirement. When wind produces more than 1GW I simply dump the excess to 100% efficient storage up to a limit. When storage is full any excess is “dumped to the grid”. When wind doesn’t supply 1GW I draw the difference from my “magic storage”. The level of storage is set such that I never go negative.