AI is exhausting the power grid
washingtonpost.com
washingtonpost.com
They kind of imply it's because AI is increasing demand but the article they link to states it is because they cancelled plans for two of Bill Gates Natrium nuclear plants.
And also that a federal court allowed them to pollute more by halting an EPA regulation.
Maybe they'd still be building the nuclear plants if the coal pollution wasn't allowed.
Direct link to the referenced article:
https://www.sltrib.com/news/environment/2024/04/01/climate-s...
> In their general session earlier this year, Utah legislators went the opposite way from their West Coast counterparts, passing a bill this year that makes Rocky Mountain’s coal plants the state’s preferred power source.
> SB224 essentially upended the paradigm that made the utility prove to the PSC it was choosing the least cost/least risk options for providing power. Instead, the PSC must now assume the coal plants are the best option, and it’s up to others to prove they aren’t.
> Advocates for both residential and business customers say it likely will raise rates for Utah customers because it transfers the risk of continuing to operate the plants from PacifiCorp’s stockholders to Utah’s ratepayers.
https://cleantechnica.com/2024/06/21/world-getting-120-new-1...
BTW, the land for those solar farms would occupy a square 9 miles on a side and cost $16 billion to buy the land in the Northeastern US (if you could find the land to acquire.) Doesn't include the cost of panels or storage.
2. I was talking about land values in the Northeast US. Not many large ranches there.
With regulatory reform, nuke power would be more economically reasonable.
https://www.construction-physics.com/p/why-are-nuclear-power...
Regarding the staffing needs for operating a nuclear power plant, it requires a minimum of 0.7 people per MW for large-scale, multi-reactor facilities. While this is indeed more than solar, it is not a significant issue. For instance, France boasts some of the lowest electricity bills in Europe, and nuclear technology remains competitive today (no storage, more reliable, and competitive LCOE prices).
Moreover, Small Modular Reactors (SMRs) are being developed to significantly reduce staffing requirements, needing minimal to no maintenance.
https://www-pub.iaea.org/mtcd/publications/pdf/te_1193_prn.p...
But if you try that with radioactive power sources, the Department of Energy will shut you down.
2002: 2,256 MTOE
2012: 2,152 MTOE
2022: 2,182 MTOE
(MTOE = Tonne of oil equivalent)
Source: https://yearbook.enerdata.net/total-energy/world-consumption...
The dramatic comparative inefficiency of non-electric transport and heating makes this apparent paradox possible.
https://hn.algolia.com/?q=oklo (YC S14)
https://hn.algolia.com/?q=helion (YC S14)
I will say that one of the more interesting energy startups that I'm aware of (don't think it's YC though) is Terraform Industries which plans to make hydrocarbon fuels out of captured carbon powered via massive solar installations. I hope that that works out because they really do have a good mission and a plausible economic model to achieve it.
It's a different approach than most fusion reactors at least.
Something tech startups are fucking terrible at.
An average summer heatwave here sees 1-3 substations blowing up around here.
The oceans will not reach 100C°
AI couldn't happen at a worse time in history.
There's still plenty of oil out there and will be for a long time. The issue is how much energy it takes to extract it.
Of course coal produces the most greenhouse emissions.
Can you explain where the need for the increase in oil is coming from? We are specifically discussing AI.
Shh... Murphy might hear.
Don't get me wrong, I support research and development into nuclear fusion and it would be amazing if it worked but baking the future of the planet on technology that may or may not work seems crazy to me.
Finding a location where power is available or made available was a major challenge and reduced our choices dramatically. At the end, multiple transformers, a couple distribution points and tons of power cables had to be changed/relaid or upgraded. The power budget planning for the region we're in have changed and this took close to a year, alone.
Power availability is, by far, the greatest limiting factor in modern datacenter site selection.
As a result regulators, utilities and power companies may all have gotten a bit rusty when it comes to rapid growth. But yes, they will relearn.
So point is that no power grid hasn't grown as demand increased, rather we tempered demand to match that the grid didn't grow. You even see it today with power shut downs etc rather than increasing grids.
Power used to be like how we see compute today, exponentially increasing so everyone wasted with it since you soon had more than enough. But once that stopped power efficiency suddenly became very important.
The idea that mere power generation is holding up this clear advance in technology is baffling. We've got to build whatever it takes, just so long as this AI revolution isn't allowed to flounder.
So, to me, "AI is exhausting the power grid" means something like this: The datacentres running AI models are consuming so much power that existing power generation capacity is no longer sufficient, producing (at least the danger of) power cuts, brownouts, etc.
Here, by contrast, is what the article says (in order of appearance). Everything is paraphrased. Some quotations are lightly massaged for brevity and clarity.
1. The Columbia River has long provided hydroelectric power, "but the AI revolution will demand much more". (This is about what AI allegedly will do, not what it is doing.)
2. Microsoft and other big tech companies are investing in experimental energy generation: nuclear fusion, small-scale fission, geothermal, etc. (Fine, and it connects to the second half of the title that isn't in the HN title: "Tech firms are seeking a miracle solution". But no evidence of what AI is alleged to be doing.)
3. Someone called Tamara Kneese claims "Coal plants are being reinvigorated because of the AI boom". (This is about what AI is alleged to be doing, but it's just reproducing someone else's claim and provides no evidence that it's right, no numbers, etc.)
4. Lots of datacentres are being built. (Link to an earlier WP article, which in no way links this to AI and in fact says it's been going on continuously for many years.) "Some worry" that there won't be enough electricity for them. (Again, about the future. No indication of who worries. No evidence, no numbers.)
5. "The amount of electricity they need now is soaring because of AI". (Again, no citations, no evidence, no numbers.) A ChatGPT query is more expensive than a Google search. (True.) Meta has a datacentre complex that consumes a lot of power. (Surely true, but again doesn't really connect with the title's claim. They don't even offer any evidence that this datacentre runs any AI tasks at all.)
6. Big tech companies like to talk about sustainability and low emissions, even though their datacentres consume electricity some of which is produced from fossil fuels. (True, but nothing to do with claim in title.)
7. Some people associated with AI, such as Sam Altman and Bill Gates, also think there will be breakthroughs in clean energy production. (True, but, y'know.)
8. Many paragraphs saying that tech companies talk about renewable/sustainable/clean energy production but consume energy from the national power grid, some of which comes from e.g. coal-fired power plants. (True, but again no connection with title claim and, really, what is actually supposed to be wrong here?)
9. Some fossil-fuel power plants in Utah were going to be closed but are now going to stay operating for longer. (No connection to title claim. In fact, no evidence of any connection with tech at all.) Meta is building datacentres in the area. (OK.)
Etc., etc., etc. The article gives plenty of evidence that tech companies have datacentres that use electricity, and that some electricity comes from fossil fuels. It suggests (and quotes a few people claiming but not providing evidence) that a lot of that electricity is for AI these days. It offers absolutely no evidence that anything is "exhausting the power grid", nor that if the power grid is being exhausted it's because of AI. It talks about some connections between tech companies and novel clean energy projects that may or may not ever work out, and apparently we're supposed to think that that's a bad thing somehow?
A small paper from an "Introduction to Nuclear Energy" course in Stanford: http://large.stanford.edu/courses/2019/ph241/clark1/
https://assets.bbhub.io/professional/sites/24/fig1battery.pn...
Moreover, it is prudent to avoid relying solely on a single technology. Currently, lithium is the only type of storage that is commercially viable, and hydropower capacity in Europe is nearly maxed out. Additionally, a significant portion of lithium supply is controlled by China, which poses its own set of challenges:
https://carboncredits.b-cdn.net/wp-content/uploads/2024/04/l...
I am optimistic about the future of storage technologies. If prices continue to fall and production increases, we could potentially use these technologies to better manage daily energy peaks by 2050.
However, achieving affordable and efficient seasonal storage remains a distant and costly goal.
It's also important to acknowledge that while storage technologies exist, they have yet to meet the ambitious targets we are discussing anywhere in the world, the data are promising, but they say nothing about what might happen in the future.
Reports often associate the Fukushima disaster with 0 or 1 deaths, which is an exceptionally low number that many would prefer in any "disaster."
As for the environmental impact, you can check for yourself:
https://fukushima-radioactivity.jp/pc/?lang=en
Virtually all neighboring towns have normal radiation levels. Even 3km from the plant, some spots show higher radiation levels (5μSv/h), which is roughly twice the dose limit for someone working at a plant. However, these areas are uninhabited, consisting of trees and roads, and are harmless even if you walked by them every day.
The only significant disaster here is the economic one, amounting to several tens of billions of dollars. But in total the earthquake generated 360 billion dollars in damage.
You have to wonder if humans actually need all that processing. It would seem we have more intelligence than we need; every aspect of our lives is already over-schematized. We don't need more control and more advanced abstractions to keep our minds busy, we need the opposite; less control and more time. I hope things will shift more towards using AI to solve physical problems.
Where did OP say that? They said _power suckers_, as in plural and used bitcoin mining as one example. It’s strange you started your comment with an unnecessary personal attack and assumption OP is an idiot when you didn't seem to understand their comment. I dont understand why you had to take it so personal. Unless you're part of ERCOT or a energy supplier, I guess, but even that's not a good reason.
My point is that power suckers serve as part of a healthy energy grid because they are able to somewhat time their use which helps for overall grid health. I am not sure how well that would play into a data center, so I think the original comparison to AI is weak but nonetheless from the OP bitcoin perspective it is.
www.youtube.com/watch?v=O4Skit8Jwhw
Mr Pfluger of Texas "Are renewables baseload capable?"
Dr Lott "Renewables are not 24/7/365 capable in an economic way, technically as an engineer I can design you a system but then we have to pay for it. So what we find is you want a mix of renewables because they are cheap when they are there, you want to compliment them with storage and you want compliment them with firm dispatchable power that can be there 24/7/365 and design the markets to that everyone can get paid effectively to keep their systems well maintained and online."
...
Hon. Clark "With regard to the RTOs, taking off from where Dr Lotts was, I agree with everything that was said, there be mix of efficiency, demand response, solar, batteries, renewables and dispatchable capacity designing a market around that is extraordinarily difficult because the markets are designed to run what's cheapest to run right now and that has been a 20 year process trying to get those market signals correct."
In the end someone has to take the risk and do it as our world is only the way it is today because of entrepreneurs that took the risks. This forum has more than a few serial risk takers I deduce, including myself.
Go build something they tell me, Ok.
We let Westinghouse die and now all boo hoo no power.
Also, you have to upgrade every path between the power station and your data center. It's not like flicking a switch. Your standard power budgeting doesn't take a multi-megawatt data center into account when it's first made.
And power budgeting is not on paper only. It affects from power generation schedules, demand curves, infra planning, etc. It changes literally everything.
Plus we aid people to do their research.
So, I'm not complaining, at least.
https://www.reuters.com/business/energy/us-may-revive-some-s...
AI is useful, stochastic parrots are not. Knowing the difference is crucial.