fedecaccia

Main idea: license once, then repeat and repeat. Scale. The cost to produce energy from one single SMR is higher than fomr a classical PWR (diving output per full buidling cost) but that cost is reduced once you start scaling (all the costs associated with initial license are amortized).

There are! But not in Europe yet. Both are in China and russia. (China's HTR-PM at Shidaowan and Russia's floating Akademik Lomonosov). Check the full fleet (operating, under construction, etc) at the bottom of this post: https://reactoratlas.com/en/wiki/smr

The cost of electricity is (almost) negligible compared to the cost of having GPUs sitting idle. Electricity from fuel cells can be twice as expensive, but even then, it represents only about an extra ~15% of the amortization cost associated with keeping the GPU hardware idle.

There are two different clocks here. Financials could change in months, but the electrical infrastructure needs to be planned with years.

Gas turbines are all practically sold out till 2030, delivery time changed from 2-3 years to 5-7yrs.

Many announced data centers where destined to delay, independently from financial markets, due to the available infrastructure.

If the AI/data centers fomo dissapear, the effect on electrical production will take years in take effect, because capacity is already reserved and paid.

In oposition to software, energy infrastructure is not flexible: you can't speed up a turbine projected for 2032 neither cancel the order without a considerable cost.

Nuclear power plant facts are measured in different ways:

- net vs brute MW, electrical vs thermal MW - "operating" status means different things in different sources (connected, commercially available, operable but suspended, etc) - official sources publish state changes on different cycles, (for example PRIS vs GEM, etc), so for weeks at a time the same unit has two different states - some sources publish data per unit and day, other per power plant and per year, etc. - different names for the same power plant in different sources (for example, KANUPP & Karachi, Chashma & CHASNUPP, Zaporizhzhia & Zaporozhye, etc).

I went in expecting to find errors. Almost none of it was error: each institution answers a different question on its own calendar, and each is right by its own definition. But I found an important gap for those who need the updated and standardized information.

This is why I created reactoratlas.com

If you have built something similar over institutional data, how do you handle that?

There are two completely different businesses.

OL3 will generate ~745 TWh over his life, from a total investment of ~€11bn.

Loviisa life extension will generate ~170 TWH, from an investment of ~€1bn.

Considering the capacity factor, we are comparing 6€/MWh for Loviisa against ~15€/MWh for OL3.

So, it is worth mentioning that extending the life of an existing power plant can be a really good investment.

Main difference is in initial setup/concrete installment!!

You can review all the maths using data from OL3 here: https://reactoratlas.com/en?y=2026&s=finland-olkiluoto-nucle...

Thanks! Yes, Bangladesh is building two VVER 1200s, 1,080 MWe net each. Unit 1 is scheduled for commercial operation this year and unit 2 next.

I implemented several updates in the platform, based on all the feedback received in the last 24 hs. Thanks to all the folks that helped improving the platform!

BTW it was pinned as a resource in the nuclear subreddit, which makes me very happy: people is finding it very useful!

ok! I'll add a filter in this page, looking forward to deploy an update in next hours.

thanks! and your comments are in the right direction, I plan to integrate other layers of the global energy network, with a better visualization of nuclear proportion by region/country.

a reaction to 2011 fukushima event. The ironic fact: if you check japan nuclear power evolution, they just had a small drop and later keep growing, nowadays in top 3!

Thanks! As I explained below, my first language is spanish and my intention was to provide fluid answers. Suggestion accepted.

THanks for your support defrost. Indeed, Im from Argentina and I tried to improve my answers assisted with AI. No more asistance, but I'm not that fluid in english!

I have changed the UI, now both power and research layers are on by default, so you should see nuclear pins in Australia at first sight. Thanks for the feedback!

thanks for your support! Im passionate about nuclear fusion as well, and there will be more projects to come from my side..! Feel free to share your projects in the community! Happy to take a look

The natural reactor in Oklo is a great one! It isn't a facility so it doesn't fit the current layers, but it deserves its own entry: added in the backlog and will be updated soon!

* * *

Thanks for the feedback! Al these are welcome and Im taking note for improvements. On the 2D map UI: you can select the 2D option right above the years slider. I hope it works as expected! Will update soon with the other improvements!

Sure! not a translation bug! The monitoring section you mention is part of the “signals” layer, where I’m tracking things like increases/decreases in power generation and grid contributions. I think this kind of data could be useful for operators and institutions. The Monitoring/News section, on the other hand, is 99% nuclear.

And yeah, fair point on the coding comment. I guess I still enjoy it too much! I’ll publish some piece of code fully coded by my own fingers one of these days

I started my path as BE 5 years ago and now I run a blockchain company.

My strategy was: 1 - learn just the basics on each vertical (bitcoin, EVM, smart contracts, consensus protocols, game theory) - it wasn't difficult having a background as engineer 2 - get a job as PM/PO to be in touch with as many projects as I can 3 - get a deep understanding of the market needs 4 - start working as low level developer on a particular (selected) project, to understand the core and become an expert 5 - manage my own team to sell services (outsourcing) to other entrepreneurs 6 - scale num.5

I share with you a doc I wrote a time ago, describing the roadmap I propose to learn the basics: https://medium.com/rather-labs/the-roadmap-to-become-a-block...

Also, if you want to check my company, you can do it at ratherlabs.com

I wish you the best on this exciting path!

First at all, a huge background on maths and statistics. Then, select a programming language and become as good as posible. I recommend you to choose python because it has a lot of libraries of data science (I recommend you to learn numpy, pandas, scipy and sklearn). After all, you should consider to put tensorflow in your learning curriculum.

DEX could be a good idea. However, I've tried something without success. In waves, for example, you can sell btc for USD tokens with good profit, but you can not extract them. When exchanging with other ctyptos there is no high volume, then I've found bid / ask prices with high spread.

What do you mean on a large scale? in cytpo eschanges, large orders only lead you to pay too expensive (or sell too cheap)

Yes I have answered on that link. I think in that case is unrealizable.

That's the point, you can't have so many balances in so many exchanges, because, in that case, each return is going to be very small. Just to take profit on an ETH USD arbitrage, you have to have 25% of your capital in ETH and 25% USD in exchange A, and 25% ETH and 25% USD in exchange B. So, when you take advantage of the opportunity to buy ETH at low price on exchange A and to sell on exchange B, you are only earning an arbitrage profit on a 25% of your capital. And that profit become less and less if you divide your capital into more coins and more exchanges.

Are you talking about pair trading? How do you do it, since you can't go short in crypto? (At least not if you are not using bitfinex)