matt2000
Joined 15 years ago
Joined 15 years ago
Where are you getting that? The 2026 AEMO plan says:
"Electricity consumption is expected to almost double over the coming decades, driven by population and economic growth, electrification across homes, businesses and industry and the emergence of new large loads such as data centres."
https://www.aemo.com.au/-/media/files/major-publications/isp...
1. You are using the current point-in-time cost for batteries as compared to a subsidy spent over years while battery costs were dropping.
2. You do not include transmission upgrades and costs to distribute energy from centralized batteries.
3. You ignore the benefits and efficiencies of having generation and batteries distributed and close to the source of demand. It also increases resilience of the grid.
4. You assume the political will was there for government and taxpayers to bear the full cost burden of development of the batteries.
My intuition is that type-safe languages with fast compilers are the best option. Maybe Go? I personally prefer Java just due to my experience running it in production, but am not sure there's many arguments for it over Go in a greenfield application. The other candidate would be Rust, but I worry about token efficiency and tool performance, I suspect it's not worth it for the runtime improvements.
All that being said, in this article switching to Python seems like a wild choice. Relatively poor performance, no compile time checking at all. Python's big selling point was developer ergonomics, which seems largely irrelevant now.
These are all just thoughts at the moment, I should try to find some evidence one way or another.
Realtime database Authentication File storage Admin dashboard
It's an interesting trade off between swapping station cost and time to charge. I suspect charge times will decrease enough that it's not worth all the physical investment in swapping, it may already not be.