1,299 karma · joined September 18, 2015
The important insight here is that per Carnot's law[1], the higher the storage temperature the higher the theoretical max efficiency for thermal storage. Stiesdal had an initial concept that stored at even higher temperatures (1000C) and used a standard power plant steam turbine for converting back to electricity. But these turn-key solutions are probably more realistic.
If you are interested in realistic renewable energy, do browse the Stiesdal pages: Henrik Stiesdal [2] was pretty much the inventor of the modern wind turbine (sold the upwind 3-blade design to Vestas, CTO at Siemens Wind Power): He seems to have a superb intuition for industrializing heavy machinery. I am keenly following his advances into electrolysis and floating offshore wind power.
[0]: https://www.stiesdal.com/storage/the-gridscale-technology-ex... [1]: https://en.wikipedia.org/wiki/Carnot_cycle#Carnot's_theorem [2]: https://en.wikipedia.org/wiki/Henrik_Stiesdal
This comes with some perverse incentives in an age of renewables:
1. If the power plants use surplus electricity to provide district heating it is no longer a "waste product" and consequently taxed. Since the power plant cannot run without generating electricity, this leads to periods of negative power prices.
2. Cooling water from e.g. data centers is too cold for district heating, but it would be energy efficient to use heat pumps to extract that energy. This is not done, because the product would be subject to full energy taxes as it is not a waste product.
For anyone who hasn't looked at Pijul, the theory part of the documentation [0] is well worth a read.
[0]: Where I live (Denmark) doors and windows are these days mounted with an 8 mm hard steel screw directly into a slightly undersized hole in the brick wall ("montageskrue" in danish). These are by far the highest torque screws I have ever worked with. The early versions used Phillips rather than Torx, and nobody even bothers trying to get those loose before breaking out the saw.
Hydrogen (H) can be split from water (H2O) with a by-product of Oxygen (O). Hydrogen is hard to handle logistically (as discussed elsewhere in the thread), and the real idea in "Power to X" is to include Hydrogen in another molecule with better logistics. Main contenders are Ethanol (C2H5OH, alcohol), Methane (CH4, ~natural gas), and Ammonia (NH3).
Ethanol and Methane are by far the nicest products: already used as energy carriers, easy to handle, relatively non-toxic, but they have one problem: They require Carbon (C) to manufacture in addition to Hydrogen. Even with increased atmospheric CO2 levels, CO2 concentration in the atmosphere is only on the order of 400 ppm and extraction is expensive.
Ammonia (NH3) is synthesized directly from Hydrogen and Nitrogen (N) which is makes up 70% of the atmosphere. The Haber-Bosch process used for this synthesis is a cornerpiece of industrial chemistry.
I have a small `hello-world` example of a rust-only Tauri application at https://github.com/Japanuspus/tauri-from-rust
I completely agree with the sentiment that the algebraic mumbo jumbo often used to introduce quaternions is not very satisfying. Fortunately, as quantum computing becomes a mainstream topic, more people will have to learn about "Rotations on the Bloch sphere" [0] -- and then quaternions and rotations actually make sense.
[0] https://en.wikipedia.org/wiki/Bloch_sphere#Rotations_about_a...
The short history of physics in TFA is spot on: Einstein and the quantum pioneers added abstractions to build physical theories with prediction power, whereas current high-energy physics theory seems to be mostly a mathematical exercise. This has been confirmed by numerous insiders, including by Hossenfelder as mentioned in the article, and Lee Smolin ("The trouble with physics") who is also a theoretical physicist.
Things have changed a lot since accelerators became a must-have for high-energy physics: Today we have detectors and computing power that let us observe the natural experiment of the universe with a precision and diligence that would be impossible when LHC was commissioned. I find it much more likely that we would learn new physics by giving 10-year grants to 1000 young physicist of revolutionary spirit, and let them use the tools they could build themselves, than by handing that money to the old guard which has produced nothing of significance for the last two generations.
[1]: The industrial subsidy angle is not touched upon in TFA, but it is clear that there is a large number of people and companies making a good living from mega-physics, and talking to colleagues in the field, I get the distinct impression that it is not always they physicist walking in the front when asking for more machines.
[0]: https://obsidian.md/ [1]: https://github.com/zsviczian/obsidian-excalidraw-plugin
This is a real, self-contained HTML page as intended by the old ones.
Ammonia, on the other hand, just requires nitrogen which is 70% of the atmosphere and very easy to extract in industrial quantities.
For what it is worth, in Europe, Switzerland is doing a lot of pumped hydro powered by surplus French nuclear power in the summer time. Norway has huge amounts of hydro and only pumps a little, but it doesn't matter much: The Scandinavian grid is so well connected, that hydro will ramp down when power is available elsewhere, in effect providing on-demand provider for the whole region.
The motivation must have been that it allows the integrated rims and hubs, which are probably much easier to manufacture than spoked wheels at this size. The downsides seem significant though: A derailleur with gears this small is going to wear very quickly, and when it is time to replace it, you just have to hope that Kwiggle is still around to supply you with spares.
I have been a bike-fiddler since my teenage years, but it was only recently (40+) I tried taking apart an intra-hub gear. To my surprise, the whole gear mechanism is fitted to the axle an can be replaced in one go [0]. The only functional parts of the hub/housing is half-bearings and ratchets. The cool approach for Kwiggle would be to replicate these and just pop in a Shimano gear.
[0]: https://si.shimano.com/pdfs/sm/SM-IHG-INTER7_ENG.pdf page 43 ff.
To be a bit more specific as to how _decoherence_ solves this, one way to see it is that classicality (i.e. observables having specific values) is an emergent property in the limit of near-infinite degrees of freedom in the same way that e.g. thermodynamic properties (temperature etc.) are emergent properties of classical systems in the limit of near-infinite degrees of freedom.
Putting it on the edge, claiming that quantum theory is at a dead end is like claiming statistical physics is at a dead end.
One of my personal favorites for how to formalize this is the work on "pointer states" by Wojciech H. Zurek. There is a freely available Physics Today articls [0], and you can find surveys of further work e.g. in the introduction of [1].
[0]: https://arxiv.org/abs/quant-ph/0306072 Zurek, Decoherence and the transition from quantum to classical -- REVISITED [1]: https://arxiv.org/abs/1508.04101 Brasil, Understanding the Pointer States
At least to me, a former quantum computing researcher who has just switched back to quantum computing after a decade in traditional computing, the thing that made me decide that now is the time to move is that there is an emergence of new algorithms focusing on making the most of the noisy intermediate scale quantum (NISQ) computers that we can actually build today.
One of the prominent examples is the variational quantum eigensolver (VQE) algorithms [0, 1] which are hybrid quantum-classical algorithms which can often serve as replacements for the phase estimation algorithms described in the final section of TFA.
[0]: https://www.nature.com/articles/ncomms5213.pdf [1]: https://iopscience.iop.org/article/10.1088/1367-2630/18/2/02...
My experience working in a large Danish Corp. is that you need a really good reason before you can get a non-Windows machine, and if you do you still need a Windows machine on the side. Still, coming from a decade of OS X and GNU/Linux, Windows was actually surprisingly workable as a development environment.