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@primonatura@mstdn.social
2026-05-05 19:00:56

"New Battery Recycling with Carbon Capture Could Make Clean Energy Even Cleaner"
#CarbonCapture #Batteries

@arXiv_physicsgeoph_bot@mastoxiv.page
2026-07-03 07:55:53

Subsoil acidity causes long delays in inorganic carbon sequestration by Enhanced Weathering
S{\o}ren Jessen, Rasmus Jakobsen, Majken Looms, Per Ambus, Dieke Postma
arxiv.org/abs/2607.01835 arxiv.org/pdf/2607.01835 arxiv.org/html/2607.01835
arXiv:2607.01835v1 Announce Type: new
Abstract: While a looming atmospheric CO$_2$ overshoot calls for immediate carbon sequestration, delays associated to Enhanced Weathering (EW) carbon dioxide removal are being investigated. Topsoil acidity is already known to delay EW carbon sequestration, but subsoil acidity remains underexplored. Using century-long agricultural liming of formerly acidic heathland as a proxy for EW, this study provides empirical evidence of subsoil-imposed delays. Below such limed terrain, we observed a downward-progressing front of topsoil-produced alkalinity that still requires 30-100 years to penetrate the approximately 5 m thick acidic sandy unsaturated zone and reach the groundwater table. Subsoil acidity thus may cause beyond-reasonable delays, prohibiting EW as a viable short-term carbon capture strategy even on topsoils made non-acidic by preceding liming. When planning EW schemes, the amounts of stored acidic cations in top- and subsoil, as well as the rate and composition of infiltrating water, controlling the duration of the delay, require careful assessment.
toXiv_bot_toot

@ErikJonker@mastodon.social
2026-06-28 09:51:04

I hate it normally when i don't understand things fully, but reading my daughters bachelor paper "Surface Structuring Nanoporous Carbon to improve redox behavior in electrochemical carbon capture", it actually makes me proud 😀
#MolecularScienceTechnology #MST

@Techmeme@techhub.social
2026-04-23 05:21:02

Sources: Microsoft told carbon-removal project developers it is shelving contracts under negotiation; Microsoft has been a major backer of carbon capture tech (Alastair Marsh/Bloomberg)
bloomberg.com/news/articles/20

@markhburton@mstdn.social
2026-05-21 08:09:54

Thread by George Monbiot on Starmer government's ripping up right to object to large scale infrastructure construction nuclear and 'renewable').
He's right but misses the problem underpinning it: industrial scale renewable capture tech isn't green, and is built on an extractive and unsustainable economy.
See e.g.

The idea of sucking CO2 out of the atmosphere to combat climate change might be a necessary intervention,
but it always sounded like a longshot.
Unfortunately, it seems like the strategy is already hitting a wall.
A new reportpublished this week found that ongoing carbon dioxide removal (CDR) efforts are barely putting a dent in the fight against global warming
— and that for them to start making an impact, they would need to be scaled up at a rate that rivals the ado…

@marjolica@social.linux.pizza
2026-04-20 10:59:59

Well burning wood for power (currently what we do at Drax in the UK) doesn't make sense now and it seems it still won't make sense in the future, even with carbon capture:
theguardian.com/environment/20

@UP8@mastodon.social
2026-05-13 18:21:38

🪤 Direct air capture has substantial health and climate opportunity costs
#carbon

@paulwermer@sfba.social
2026-06-21 21:49:43

Wish Mark Jacobson bridged to mastadon. His commentary on false climate solutions is very helpful.
bsky.app/profile/mzjacobson.bs

@PaulWermer@sfba.social
2026-06-21 21:49:43

Wish Mark Jacobson bridged to mastadon. His commentary on false climate solutions is very helpful.
bsky.app/profile/mzjacobson.bs

British Petroleum sponsored an elite Princeton research center
to address the climate problem without getting off fossil fuels,
handpicking scientists aligned with their interests. 
Princeton scientists who wrote a climate paper criticized as making solutions seem “easy”
coordinated with the oil company’s executives and showed them multiple drafts.  
Researchers depicted technology to capture carbon and store it underground as being proven and in use at indu…

@primonatura@mstdn.social
2026-04-24 11:00:23

"Burning wood for power worse for climate than gas equivalent, report finds"
#Climate #ClimateChange #Energy

@arXiv_physicsgeoph_bot@mastoxiv.page
2026-06-30 07:51:15

Two kinds of robustness are not the same: disentangling fault tolerance and low-SNR robustness in multi-domain event detection on real data
Isao Kurosawa
arxiv.org/abs/2606.29339 arxiv.org/pdf/2606.29339 arxiv.org/html/2606.29339
arXiv:2606.29339v1 Announce Type: new
Abstract: Reliable event detection underpins induced-seismicity monitoring for Carbon dioxide Capture and Storage (CCS) and geothermal operations, distributed acoustic sensing (DAS), and industrial condition monitoring. In each setting a detector must stay reliable both when sensors fail and when the signal is buried in noise. These two failure modes are routinely conflated, and architectural complexity is often credited with robustness it may not deserve. We assemble a unified binary event-detection benchmark from three physically distinct real sources -- Hi-net seismic waveforms, Utah FORGE 2024 borehole DAS, and MAFAULDA industrial vibration -- each mapped to a common 8-channel, 256-sample representation, and evaluate a fault-tolerant detector (CEPHALON) trained with per-sample sensor-dropout against standard detectors (a 1D convolutional network, a temporal convolutional network, and a compact Transformer) trained with an identical recipe. On clean data every model is near-perfect (AUC ~ 0.99). Under progressive sensor loss, simple models with sensor-dropout are already robust and CEPHALON holds no advantage. Under additive noise, however, CEPHALON degrades far more gracefully: at -2.5 dB its overall AUC is 0.939 versus 0.532-0.572 for the convolutional baselines. Same-architecture ablations isolate the cause: disabling internal redundancy at inference reduces the low-SNR advantage only modestly, whereas removing sensor-dropout training collapses it (0.899 to 0.603 at -5 dB). The training recipe is therefore the dominant cause and parallel redundancy only secondary. We release a complete, numbered, reproducible pipeline so that every figure can be regenerated.
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@paulwermer@sfba.social
2026-04-20 14:04:32

In the category of "For every complex problem" (Mencken) - #BECCS & #biofuels as the current example.
Burning wood for power worse for climate than gas equivalent, report finds

@PaulWermer@sfba.social
2026-04-20 14:04:32

In the category of "For every complex problem" (Mencken) - #BECCS & #biofuels as the current example.
Burning wood for power worse for climate than gas equivalent, report finds

@fennek@cyberplace.social
2026-04-08 05:02:04

Kann sich das jemand anschauen und mir eine Zweitmeinung geben?
Bin mir nicht sicher, dass ich 1,5 Stunden Zeit für jemanden habe, der mit "I am picking up on a [problematic] vibe" ankommt und den dann nicht artikuliert.
Der als positives Beispiel für "generative AI"-Nutzung "materials used in carbon capture" (of all things) nennt.
Und dann ein "trust me, I am very good at this" einwirft, obwohl er bisher, wenn überhaupt, den gegenteili…

@thomasfuchs@hachyderm.io
2026-06-27 13:19:03

Not saying carbon capture will never work, but so far, well…