14.5 C
New York
Monday, March 31, 2025
Home Blog Page 5

Uruguay EV Gross sales Report: 300% Progress in a File February Brings BEV Market Share over 15%



Join each day information updates from CleanTechnica on electronic mail. Or comply with us on Google Information!


Uruguay has constantly been the second most superior nation in Latin America so far as electrification goes, and it has at occasions competed with Costa Rica for #1. Being a really small market (with fewer than 100,000 car gross sales a yr), it’s topic to excessive seasonal variability and, as such, its market patterns are tougher to find out than these of Mexico, and even Colombia and Peru.

That is why final June we noticed an enormous improve in EV gross sales that introduced Uruguay to the forefront of the transition and put it forward of a lot of the world, at 15% market share. However within the following months, it grew to become clear this month had been an outlier, and Uruguay went again to its extra “regular” market share, steadily rising from 7% to 10% via 2024’s second semester.

However we’re now in 2025 and Uruguay is as soon as once more exhibiting robust progress and indicators that, hopefully, this time round, BEV gross sales will continue to grow from right here.

Market Overview

Uruguay’s official knowledge doesn’t report PHEVs: it merges all hybrids in the identical class. Nonetheless, it’s telling that even together with HEVs and MHEVs, BEVs greater than double hybrid car gross sales. Uruguay, as Costa Rica, is a market closely skewed in direction of BEVs.

Whole car gross sales usually hover round 6,000 models a month, which means the practically 900 BEV gross sales in February had been greater than sufficient to get Uruguay over 10% market share. That is an all-time excessive BEV file, surpassing December’s prior file regardless of decrease total gross sales:

Market share was 15.4% in February, up from 10% in January and 12.1% in December. The final time we noticed a market share over 15%, in June 2024, it was a transparent outlier (as seen within the following graph), however market share saved rising constantly and has sustained ranges above 10% over the last 4 months. The 15.4% from February could also be a big improve, but it surely doesn’t look like an anomaly:

Uruguay stays the realm of BYD, however its market share has eroded from 75% in June 2024 to 60% in February. Far behind it are Dongfeng (a troubled Chinese language model which can be bought by Changan), JMC, and Chery. Solely two non-Chinese language manufacturers, Hyundai and BMW, made it into the highest 10 this month:

Mannequin-wise, BYD obtained gold, silver, and one other two spots within the high 10, which appears the realm of city-cars and hatchbacks: the BYD Seagull, the Dongfeng Nammi, the JMC EV3, the JAC E-S3, the Geometry E, and the BYD E2 (Dolphin) make a really specific rating the place, for as soon as, SUVs don’t dominate. Nonetheless, the 2 BYD Yuan (Professional and Plus), the Chery EQ7, and the Hyundai Kona make appearances for SUVs. And no matter occurred to sedans?

Yr thus far, the state of affairs could be very comparable, however Volvo is not current within the high 10, with GWM taking its place. BYD maintains 60% market share:

Mannequin-wise, the JMEV EV3 is changed by the Faw Bestune NAT. In any other case, the contributors are the identical in several order. Although, the BYD Yuan Professional stays the undisputed chief:

Closing ideas

I’ve already talked about Uruguay’s hyper-expensive gasoline (round USD$7 per gallon), one thing that undoubtedly has served to prop up EV adoption. The nation can be reliant on inexpensive wind power, the surplus of which is bought to Brazil (which additionally sells electrical energy when Uruguay requires it), so it has the means to supply electrical energy to its rising EV fleet.

Not a lot else is happening on this nation. Although, it bears mentioning that Good (one other Chinese language-bought European model) is arriving quickly in Uruguay. In early 2024, Uruguay nonetheless had comparatively low EV gross sales, so progress this yr has been astronomical (246% yr thus far), however that is clearly going to gradual as adoption will increase. Nonetheless, I’m wondering how lengthy till Uruguay reaches 50% BEV market share. For a very long time, my prediction for the three leaders (Costa Rica, Uruguay, and Colombia) has been “earlier than 2030.” Now, I’m questioning if maybe we are able to begin bringing that date nearer.

2029? 2028? What do you guys assume?

Whether or not you will have solar energy or not, please full our newest solar energy survey.



Chip in just a few {dollars} a month to assist assist unbiased cleantech protection that helps to speed up the cleantech revolution!


Have a tip for CleanTechnica? Need to promote? Need to counsel a visitor for our CleanTech Speak podcast? Contact us right here.


Join our each day e-newsletter for 15 new cleantech tales a day. Or join our weekly one if each day is simply too frequent.


Commercial



 


CleanTechnica makes use of affiliate hyperlinks. See our coverage right here.

CleanTechnica’s Remark Coverage




New Safety Flaws Present in VMware Instruments and CrushFTP — Excessive Danger, PoC Launched

0


Mar 26, 2025Ravie LakshmananVulnerability / Information Safety

New Safety Flaws Present in VMware Instruments and CrushFTP — Excessive Danger, PoC Launched

Broadcom has issued safety patches to deal with a high-severity safety flaw in VMware Instruments for Home windows that might result in an authentication bypass.

Tracked as CVE-2025-22230, the vulnerability is rated 7.8 on the ten-point Frequent Vulnerability Scoring System (CVSS).

“VMware Instruments for Home windows comprises an authentication bypass vulnerability because of improper entry management,” Broadcom stated in an alert issued Tuesday. “A malicious actor with non-administrative privileges on a Home windows visitor VM might achieve the flexibility to carry out sure high-privilege operations inside that VM.”

Credited with discovering and reporting the flaw is Sergey Bliznyuk of Russian cybersecurity firm Constructive Applied sciences.

Cybersecurity

CVE-2025-22230 impacts VMware Instruments for Home windows variations 11.x.x and 12.x.x. It has been mounted in model 12.5.1. There aren’t any workarounds that tackle the problem.

CrushFTP Discloses New Flaw

The event comes as CrushFTP has warned clients of an “unauthenticated HTTP(S) port entry” vulnerability affecting CrushFTP variations 10 and 11. It has but to be assigned a CVE identifier.

“This difficulty impacts CrushFTP v10/v11 however doesn’t work if in case you have the DMZ operate of CrushFTP in place,” the corporate stated. “The vulnerability was responsibly disclosed, it’s not getting used actively within the wild that we all know of, no additional particulars might be given at the moment.”

In line with particulars shared by cybersecurity firm Rapid7, profitable exploitation of the vulnerability might result in unauthenticated entry through an uncovered HTTP(S) port.

With safety flaws in VMware and CrushFTP beforehand exploited by malicious actors, it is important that customers transfer rapidly to use the updates as quickly as attainable.

Replace

The vulnerability impacting CrushFTP has been assigned the CVE identifier CVE-2025-2825. It carries a CVSS rating of 9.8 out of 10, indicating vital severity.

“CrushFTP variations 10.0.0 by 10.8.3 and 11.0.0 by 11.3.0 are affected by a vulnerability that will end in unauthenticated entry,” in keeping with an advisory for the flaw. “Distant and unauthenticated HTTP requests to CrushFTP might permit attackers to achieve unauthorized entry.”

ProjectDiscovery, in a technical write-up, stated the vulnerability resides in a part that handles the flexibility to make use of Amazon S3 because the backend file system. “The vulnerability exists within the loginCheckHeaderAuth() technique of ServerSessionHTTP.java, which processes HTTP requests with S3-style authorization headers,” it stated.

Particularly, the problem has to do with a setting known as “lookup_user_pass” that is set to true by default when processing S3 authentication headers if the username does not include a tilde character (~).

This enables unauthenticated attackers to bypass authentication and achieve unauthorized entry, totally bypassing signature and password validation steps designed to make sure the request is genuine. A proof-of-concept (PoC) exploit has been launched for CVE-2025-2825, making it important that customers apply the newest repair.

“Exploiting this vulnerability is easy,” ProjectDiscovery stated. “An attacker solely must craft an HTTP request with: 1) An AWS S3-style authorization header with a sound username. 2) A CrushAuth cookie with matching c2f parameter values.”

(The story was up to date after publication to incorporate particulars of the CVE identifier and the PoC.)

Discovered this text attention-grabbing? Comply with us on Twitter and LinkedIn to learn extra unique content material we publish.



ios – SwiftUI Menu in Checklist solely the Textual content is tappable


I count on that UIKit may allow you to management the place of the menu extra exactly, however, sadly, you do not have a lot management with SwiftUI. I’m guessing, the Reminders app shouldn’t be applied utilizing SwiftUI.

For the case proven within the first block of code, you may improve the tappable space by making use of a body to the menu label and setting a content material form. That is just like what you had been doing within the potential answer you confirmed within the query. It may be carried out with out an HStack:

Menu {
    // ... buttons, as earlier than
} label: {
    Textual content("Add Query")
        .foregroundStyle(Coloration.white)
        .background(Coloration.black)
        .body(maxWidth: .infinity, alignment: .main)
        .contentShape(Rectangle())
}

Nevertheless, while you faucet the row, the menu all the time aligns to the center of the row, even while you faucet on the textual content (as you additionally defined within the query):

screenshot

Listed here are some potential workarounds, none of that are excellent, however they may assist:


1. Experiment with minWidth

In my exams on an iPhone 16 simulator, the purpose at which it switches from left-alignment to center-alignment is when the width of the label is larger than about 273 factors. That is about two-thirds of the display screen width on an iPhone 16, nevertheless it may be totally different on different units. So if the body on the label is modified from maxWidth: .infinity to, say, minWidth: 270, this provides a bigger hit space with the menu nonetheless left-aligned. Nevertheless, the hit space won’t embrace the trailing space on the suitable of the row.

Textual content("Add Query")
    .foregroundStyle(Coloration.white)
    .background(Coloration.black)
    .body(minWidth: 270, alignment: .main) // 👈 modified
    .contentShape(Rectangle())

2. Offset the label with padding to compensate

As we now have seen, when the label has most width, the menu is centered. It seems that if the middle of the row is shifted, the menu strikes too.

The middle of the row might be shifted by making use of a optimistic x-offset to the label, then compensating with unfavorable main padding on the Menu.

  • Through the use of .offset as a substitute of main .padding for the label, the width accessible for the textual content doesn’t change. So an extended label will solely wrap if the total row width is simply too slim.
  • Through the use of unfavorable padding for the Menu, the hit space doesn’t transfer. If as a substitute a unfavorable offset is used, the right-side of the row is now not receptive to faucets.
personal let labelOffset: CGFloat = 20
Menu {
    // ... buttons, as earlier than
} label: {
    Textual content("Add Query")
        .foregroundStyle(Coloration.white)
        .background(Coloration.black)
        .body(maxWidth: .infinity, alignment: .main)
        .contentShape(Rectangle())
        .offset(x: labelOffset) // 👈 added
}
.padding(.main, -labelOffset) // 👈 added

When the dimensions of the offset is small, the menu strikes by half this measurement. For instance, if the offset is 20 (as above), the menu is proven 10 factors to the left of middle.

There appears to be a threshold, above which the menu alignment switches from the middle of the row to the left facet of the row. In my exams on an iPhone 16 simulator, the edge was round 40. This worth occurs to be the gap from the sting of the display screen to the row content material. When the checklist row insets are modified, the edge additionally modifications. So the edge in all probability is determined by the insets.

Rising the offset above this threshold makes no distinction. So to maneuver the menu to the left, the offset would not have to be an actual quantity, it simply must be greater than the edge.

Right here is the way it appears to be like utilizing an offset of fifty. It additionally appears to be like precisely the identical when you use an offset of 100:

Screenshot

To tremendous tune the positioning, it could be good if the menu may very well be moved to the suitable by about 12 factors, in order that it aligns with the row. Sadly, I could not discover a approach to do that😢


3. Add trailing padding to the menu

As type of a mixture of the 2 workarounds above, the menu may also be moved to the left facet by including trailing padding to the menu.

The quantity of padding that’s wanted corresponds once more to the edge offset mentioned above for workaround 2. So with the default checklist insets, the padding for an iPhone 16 must be at the very least 40. On an iPad, it must be bigger (100 works).

  • The hit space on the right-side of the row is lowered by the padding quantity, so it’s best to maintain the padding to the minimal essential.

  • Destructive padding might be added to the label to stop the textual content from wrapping, if wanted. Nevertheless, this does not assist to extend the hit space.

This variant offers higher menu alignment. So although the hit space excludes the width of the padding on the suitable facet of the row, it’s a higher answer than workaround 1:

Menu {
    // ... buttons, as earlier than
} label: {
    Textual content("Add Query")
        .foregroundStyle(Coloration.white)
        .background(Coloration.black)
        .body(maxWidth: .infinity, alignment: .main)
        .padding(.trailing, -40) // 👈 added
        .contentShape(Rectangle())
}
.padding(.trailing, 40) // 👈 added

Screenshot

The Rise of Smarter Robots: How LLMs Are Altering Embodied AI

0


For years, creating robots that may transfer, talk, and adapt like people has been a significant purpose in synthetic intelligence. Whereas vital progress has been made, growing robots able to adapting to new environments or studying new abilities has remained a fancy problem. Latest advances in massive language fashions (LLMs) are actually altering this. The AI methods, skilled on huge textual content information, are making robots smarter, extra versatile, and higher capable of work alongside people in real-world settings.

Understanding Embodied AI

Embodied AI refers to AI methods that exist in bodily kinds, reminiscent of robots, that may understand and work together with their setting. In contrast to conventional AI, which operates in digital areas, embodied AI permits machines to interact with the bodily world. Examples embody a robotic selecting up a cup, a drone avoiding obstacles, or a robotic arm assembling components in a manufacturing facility. These actions require AI methods to interpret sensory inputs like sight, sound, and contact, and reply with exact actions in actual time.

The importance of embodied AI lies in its potential to bridge the hole between digital intelligence and real-world purposes. In manufacturing, it might probably enhance manufacturing effectivity; in healthcare, it may help surgeons or assist sufferers; and in properties, it may carry out duties like cleansing or cooking. Embodied AI permits machines to finish duties requiring extra than simply computation, making them extra tangible and impactful throughout industries.

Historically, embodied AI methods have been restricted by inflexible programming, the place each motion wanted to be explicitly outlined. Early methods excelled at particular duties however failed at others. Trendy embodied AI, nevertheless, focuses on adaptability—permitting methods to study from expertise and act autonomously. This shift has been pushed by advances in sensors, computing energy, and algorithms. The combination of LLMs is starting to redefine what embodied AI can obtain, making robots extra able to studying and adapting.

The Position of Giant Language Fashions

LLMs, reminiscent of GPT, are AI methods skilled on massive datasets of textual content, enabling them to know and produce human language. Initially, these fashions have been used for duties like writing and answering questions, however they’re now evolving into methods able to multimodal communication, reasoning, planning, and problem-solving. This evolution of LLMs is enabling engineers to evolve embodied AI past performing some repetitive duties.

A key benefit of LLMs is their potential to enhance pure language interplay with robots. For instance, while you inform a robotic, “Please fetch me a glass of water,” the LLM permits the robotic to know the intent behind the request, determine the objects concerned, and plan the required steps. This potential to course of verbal or written directions makes robots extra user-friendly and simpler to work together with, even for these with out technical experience.

Past communication, LLMs can help with decision-making and planning. For instance, when navigating by means of a room stuffed with obstacles or stacking bins, an LLM can analyze information and recommend the very best plan of action. This potential to suppose forward and adapt in real-time is important for robots working in dynamic environments the place pre-programmed actions are inadequate.

LLMs may also assist robots to study. Historically, educating a robotic new duties required intensive programming or trial-and-error. Now, LLMs allow robots to study from language-based suggestions or previous experiences saved in textual content. For example, if a robotic struggles to open a jar, a human would possibly say, “Twist more durable subsequent time,” and the LLM helps the robotic alter its method. This suggestions loop refines the robotic’s abilities, enhancing its capabilities with out fixed human oversight.

Newest Developments

The mixture of LLMs and embodied AI isn’t just an idea—it’s taking place now. One vital breakthrough is utilizing LLMs to assist robots deal with advanced, multi-step duties. For instance, making a sandwich entails discovering substances, slicing bread, spreading butter, and extra. Latest research present that LLMs can break down such duties into smaller steps and alter plans based mostly on real-time suggestions, like if an ingredient is lacking. That is essential for purposes like family help or industrial processes the place flexibility is essential.

One other thrilling growth is multimodal integration, the place LLMs mix language with different sensory inputs, reminiscent of imaginative and prescient or contact. For instance, a robotic can see a purple ball, hear the command “decide up the purple one,” and use its LLM to attach the visible cue with the instruction. Initiatives like Google’s PaLM-E and OpenAI’s efforts present how robots can use multimodal information to determine objects, perceive spatial relationships, and carry out duties based mostly on built-in inputs.

These developments are resulting in real-world purposes. Corporations like Tesla are incorporating LLMs into their Optimus humanoid robots, aiming to help in factories or properties. Equally, LLM-powered robots are already working in hospitals and labs, following written directions and performing duties like fetching provides or conducting experiments.

Challenges and Concerns

Regardless of their potential, LLMs in embodied AI include challenges. One vital difficulty is making certain accuracy when translating language into motion. If a robotic misinterprets a command, the outcomes could possibly be problematic and even harmful. Researchers are engaged on integrating LLMs with methods focusing on motor management to enhance efficiency, however that is nonetheless an ongoing problem.

One other problem is the computational calls for of LLMs. These fashions require substantial processing energy, which will be tough to handle in real-time for robots with restricted {hardware}. Some options contain offloading computation to the cloud, however this introduces points reminiscent of latency and reliance on web connectivity. Different groups are engaged on growing extra environment friendly LLMs tailor-made for robotics, although scaling these options remains to be a technical problem.

As embodied AI turns into extra autonomous, moral issues additionally come up. Who’s accountable if a robotic makes a mistake that causes hurt? How will we guarantee the security of robots working in delicate environments, reminiscent of hospitals? Moreover, the potential for job displacement because of automation is a societal concern that must be addressed by means of considerate insurance policies and oversight.

The Backside Line

Giant language fashions are revitalizing embodied AI, turning robots into machines able to understanding us, reasoning by means of issues, and adapting to sudden conditions. These developments—from pure language processing to multimodal sensing—are making robots extra versatile and accessible. As we see extra real-world deployments, the fusion of LLMs and embodied AI is shifting from a imaginative and prescient to actuality. Nonetheless, challenges reminiscent of accuracy, computational calls for, and moral issues stay, and overcoming these might be key to shaping the way forward for this expertise.

Norway’s New Industrial Coverage Pivots Away From Hydrogen For Vitality



Join day by day information updates from CleanTechnica on e mail. Or comply with us on Google Information!


In 2020, Norway jumped into hydrogen prefer it was the following North Sea oil rush. The federal government launched a nationwide hydrogen technique stuffed with ambitions and buzzwords, envisioning a rustic the place blue and inexperienced hydrogen would decarbonize ships, factories, possibly even houses. In 2021, they doubled down with a hydrogen roadmap that talked about creating home markets and positioning Norway as a serious European provider. They earmarked practically NOK 1 billion—about $100 million USD—for numerous hydrogen pilots and infrastructure investments. It wasn’t pocket change, however it additionally wasn’t remotely near what would have been wanted to make hydrogen power economically viable at scale. Nonetheless, the hydrogen hype cycle was in full spin, and Norway, like a lot of Europe, was alongside for the experience.

The issue, as all the time, was that physics and economics refused to learn the press releases. Hydrogen as an power vector is spectacularly inefficient. Inexperienced hydrogen eats up large volumes of unpolluted electrical energy, with two-thirds of the power disappearing between technology and last use. Blue hydrogen is rather less power-hungry however requires huge infrastructure and comes saddled with upstream methane leaks and a carbon seize system that by no means fairly captures what it guarantees. Norway, a rustic blessed with hydropower and an extended custom of engineering pragmatism, ought to have seen this coming. However the attract of exporting decarbonization in a tank was simply too seductive.

To be scrupulously truthful about Norway’s pure fuel, it is among the greatest engineered and most leak free extraction, processing and distribution programs on this planet, so it has fewer points concerning the full lifecycle greenhouse fuel emissions of blue hydrogen than many different geographies, notably the USA, whose fossil gas trade has the best methane emissions of any on this planet in each absolute and relative phrases by fairly a margin.

By 2024, the shine had worn off. Norway’s new industrial technique, Meld. St. 16, which a Norwegian contact flipped to me right now—thank FSM for web translation—didn’t kill hydrogen outright, however it positively stopped setting a spot for it on the grown-up desk. Useless-end maritime fuels like ammonia nonetheless bought a nod and a few funding from Enova—about $75 million USD throughout 5 initiatives—however the remainder of the hydrogen dream was quietly filed below “too arduous, too costly, too speculative.” The technique speaks in hushed tones about immature markets, poor cost-competitiveness, electrical energy constraints, and transport challenges. That’s bureaucrat-speak for “this isn’t going to work.” The grand visions of hydrogen hubs and European exports have given option to actuality: there’s no demand, no clients, and no monetary logic.

A part of the issue was that Norway’s premise was plentiful electrical energy, however Norway’s energy surplus isn’t what it was once. Demand is hovering because the nation electrifies every little thing from oil platforms to automotive chargers to knowledge facilities. In the meantime, hydropower—the historic spine—has maxed out. They’ve dammed most of what will be dammed, and local weather volatility isn’t serving to reservoir ranges. Wind energy? That stalled after NIMBYs realized 180-meter generators weren’t invisible. Add in export obligations by way of interconnectors to Germany and the UK, and also you’ve bought electrons flowing out simply when home industries are begging for extra. Even the place provide exists, the grid isn’t maintaining—factories are ready years for connections.

A few of Norway’s flagship hydrogen initiatives have been meant to be recreation changers. As a substitute, they turned cautionary tales. The deliberate Aukra blue hydrogen facility, backed by Shell, was scrapped when no consumers materialized. Billions in infrastructure, and no one needed the product. It was speculated to be a cornerstone of Norway’s hydrogen export desires. Seems, nobody in Europe needed to pay a premium for a molecule that loses half its power earlier than it even reaches a pipeline.

Then there was the Hellesylt Hydrogen Hub, pitched as a full-circle inexperienced power ecosystem: electrolysis, hydrogen storage, and zero-emissions ferries all powered by clear hydropower. The buzzwords have been robust, the diagrams slick. However after years of consultant-heavy studies and no critical off-take agreements, it too quietly evaporated. Like many of those initiatives, it collapsed not from opposition however from inaction—dying by silence.

To the notice about consultants, apparently Norway’s hydrogen trade has about 1,100 folks in it and a full 50% are consultants. That gravy practice has ended, so that they’ll need to search for actual jobs now.

I took a have a look at Norway’s maritime hydrogen push in my December 2024 piece Extra Hydrogen Maritime Trials Floor from the Sargasso Sea.” What I discovered wasn’t fairly. Norway, a rustic with a globally revered shipbuilding trade—ranked sixth in Europe primarily based on income—and a few of the most electrified transport wherever, had poured a piece of its innovation capital right into a gas that by no means made sense for its use case.

The MF Hydra was speculated to be the crown jewel—the world’s first liquid hydrogen-powered ferry. However if you pull again the curtain, it’s a logistics nightmare and a local weather head pretend. The hydrogen is liquefied in Germany, trucked greater than 1,300 kilometers to Norway, can’t even undergo tunnels and has to get particular permission to take ferries at particular low-traffic occasions due to security restrictions. The top consequence? The MF Hydra emits about twice as a lot CO₂ full lifecycle because the diesel ferry it was supposed to interchange. Its power prices are roughly ten occasions increased, its emissions are 40 occasions increased and it travels slower than Norway’s well-proven battery-electric ferries.

And this isn’t a one-off glitch—it’s systemic. Norway thought hydrogen would give its shipbuilders a technological edge within the age of decarbonization. As a substitute, they ended up chasing a dead-end gas that’s outperformed by batteries in nearly each ferry route they function. I in contrast it to what British Columbia is doing in Canada: investing straight in battery-electric ferries and increasing shore energy. No unique gas. No costly infrastructure. Simply clear, quiet, quick vessels that work.

Equinor, for its half, learn the room. In late 2024, it scrapped plans to construct the world’s first offshore hydrogen pipeline to Germany. The $3 billion infrastructure mission collapsed below its personal weight, largely as a result of nobody needed the product on the different finish. Across the identical time, Equinor slashed its deliberate investments within the power transition by 50 % and walked again its clear power capability targets. It’s nonetheless claiming that it’s going to be web zero by 2050, however as a substitute of doing it by pivoting to renewables, it’s claiming it’s going to do it by lowering emissions from its fossil gas extraction, processing, refining and distribution and from burying CO2.  The retreat isn’t tactical—it’s a full-blown give up with a well mannered press launch.

Norway hasn’t utterly buried hydrogen, however the grave is dug, the coffin’s half-lowered, and somebody simply forgot the final shovelful of grime. The nationwide technique not positions hydrogen as the way forward for power. It’s a contingency plan at greatest, a backup dancer searching for a stage.

What’s most telling is that Norway isn’t framing this as a failure. It’s doing one thing way more Scandinavian: quietly altering course with out drawing consideration to the truth that the unique plan was flawed. The federal government nonetheless funds some hydrogen tech improvement and nonetheless talks about worth chains and innovation. Nevertheless it has stopped pretending that hydrogen will substitute electrons for heating, transportation, or grid-scale storage. And thank FSM for that.

Hydrogen for power is useless. Not wounded. Not stumbling. Useless. Norway has simply chosen a quiet funeral over a dramatic eulogy. Equinor’s pipeline cancellation, the shift in authorities messaging, and the collapse of early flagship initiatives all level in a single path: a know-how that promised every little thing and delivered nothing. Norway’s engineers, economists, and power planners are lastly aligning with the legal guidelines of physics. The one factor left is to say it out loud.

Whether or not you will have solar energy or not, please full our newest solar energy survey.



Chip in just a few {dollars} a month to assist assist unbiased cleantech protection that helps to speed up the cleantech revolution!


Have a tip for CleanTechnica? Need to promote? Need to counsel a visitor for our CleanTech Speak podcast? Contact us right here.


Join our day by day e-newsletter for 15 new cleantech tales a day. Or join our weekly one if day by day is just too frequent.


Commercial



 


CleanTechnica makes use of affiliate hyperlinks. See our coverage right here.

CleanTechnica’s Remark Coverage