micro2588

4 ms·

31.
by micro2588 5mo ago
Fervo uses engineered reservoirs in granitic basement rock so this is less of an issue. Hot rock in a working fluid can still dissolve silicates out of the granite and lead to scaling / degradation of the flow rates through the reser
32.
by micro2588 5mo ago
In geothermal there is still a lot of interest in efficiency and exploring different working fluids because binary systems now have efficiencies of 10-20%. That is why you see companies like Sage Geosystems working on developing / dep
33.
by micro2588 2y ago
They do a good job of publishing their results in technical industry publications (advancing the field overall in a surprisingly open way) but I agree can be misleading in their marketing. It will be interesting to see the results of the Ca
34.
by micro2588 2y ago
Supercritical geothermal is similar to talking about the economics of fusion. There is a DOE enhanced geothermal test site near the Newberry Volcano in central Oregon which has temperatures close to this range at reachable depths. That is
35.
by micro2588 2y ago
I think as a tech demonstration project it was successful because they were a bit conservative in some ways that will make the economics look worse. I agree it's far from "geothermal everywhere" which seems to be the hype.
36.
by micro2588 2y ago
There is no way to tell yet what the longevity of the resource will be as it's too early. In fracked resources the main issue is "short circuiting" where increased flow rates travel along preferential paths between the doubl
37.
by micro2588 2y ago
You are right there is no getting around that relatively low grade heat in geothermal is a big barrier for scaling in terms of energy production. Binary /organic rankine cycle geothermal plants used for these low / medium tempera
38.
by micro2588 2y ago
Ormat (NYSE ORA) is a publicly traded geothermal company and they are profitable.
39.
by micro2588 2y ago
Fervo's initial demonstration project was next to an existing power plant in Nevada which previously failed to produce at it's stated capacity over time (Battle Mountain) so they were able to tie in extra MWt capacity to an existi
40.
by micro2588 9y ago
Julia has been designed for single core performance fullstop. Functional collections may work well with a state of the art GC, with Julia's not so much. The fact that Julia can interop seemlessly with C code (easily) kind of bounds t
41.
by micro2588 10y ago
Will this eventually solve the "Julia does not like Pizza" issue ( https://github.com/JuliaLang/julia/issues/3721 )?
42.
by micro2588 10y ago
Hi Patrick, can you point to a paper / resource that describes this recent work?
43.
by micro2588 11y ago
You can do this using the SymPY.jl package. As a good chunk of matrix functionality is parametric on element type, you can do matrix operations on SymPY's symbolic variables. See example 6 in: https://github.com/andrea
44.
The problems of method extension working with multiple dispatch(github.com)
5 points by micro2588 13y ago|0 comments
45.
by micro2588 13y ago
I think this comment is referencing the fact that as of right now, slicing a julia array creates a copy and not a lightweight "view" of the sliced data. This makes vectorized operations on slices of arrays sometimes faster in num