The Bauer Et Al “Blue” Hydrogen LCA Paper Isn’t Useful In The Real World (Part 1 of 2)
As hydrogen hype is ramping up again, this time very clearly due to the fossil fuel industry putting its very large, well-funded thumb on the scales of public perception and policy-making, a pair of academic papers on the climate merits of “blue” hydrogen have been published recently. The first was by Howarth and Jacobson, and found that “blue” hydrogen had full lifecycle emissions that made it a non-starter as a climate solution. The second, by a host of authors — 16 of them, which is an unusually large number for an academic paper in this field, and more in keeping with a pile-on letter with signatories — finds that “blue” hydrogen can be a good low-carbon addition to the solution set.
The Howarth, Jacobson, et al paper will be assessed in a separate article, but this pair of pieces will assess the merits of the hyper-authored paper favoring “blue” hydrogen, On the climate impacts of blue hydrogen production, in the journal ChemRxiv. Note that this journal is in the same vein as other journals appearing at present, in that it publishes non-peer reviewed material, a very acceptable practice for important fields with long peer-review cycles but one that comes with a proviso.
“These are preliminary reports which have not been peer-reviewed. They should not be regarded as conclusive, guide clinical practice/health related behaviour, or be reported in news media as established information.”
As such, this article is an assessment of something that is very early in the review cycle, and some comments may become stale as the paper moves through to final publication. As a non-peer reviewed early publication journal, it doesn’t have an impact factor. By comparison, the Howarth Jacobson paper is peer-reviewed and published in Wiley’s open access journal Energy Science & Engineering, which has an impact factor of 4.07. This is not in any way dismiss the paper, but to acknowledge that it is somewhat less reliable by this measure at this time. I refer to papers in similar early publication journals regularly, most notably Cornell’s arXiv on machine learning, where peer review cycles can take two years.
The paper appears to have been in the works for a while with a subset of the authors, then the Howarth and Jacobson paper was published, and this paper was rushed to early publication in reaction, presumably with the addition of authors who wanted to make their disagreement with Jacobson known as well. This is reminiscent of the 20 author critique of Jacobson et al’s 2015 published study on 100% renewables by 2050 for the USA, a critique I found without particular merit, but in this case the publication is parallel to Jacobson’s, not directly critiquing it. My observation at the time was that everyone was agreeing that up to 80% was fully achievable with renewables, but that the last 20% would be too hard or expensive. My further observation is that last 20% is now often the last 10% according to many. I suspect Jacobson will be proven right, and further that his vision is by far the fastest and cheapest one to get electricity decarbonized by 80% t0 90%, so if other technologies prove necessary for the last bit, they can wait.
That the authors are reacting to the Howarth-Jacobson paper is clear from the abstract by the way, where they say “However, recent research raises questions about the effective climate impacts of blue hydrogen from a life cycle perspective.” This is not to denigrate the authors. Like the authors of the previous critique, they have a different belief about what will be necessary to decarbonize the world, and so this is, in my opinion, something of a tempest in a teapot. Except that it isn’t. The credibility of “blue” hydrogen is essential for the fossil fuel industry to maintain its current level of policy and opinion pressure for adoption of fossil-fuel sourced hydrogen in a much larger way than any current use of the molecule.
And so, to the contents of the paper. The approach to this will be to quote key elements from the paper and respond to them.
“Hydrogen is foreseen to be an important energy vector in (and after) the transition to net-zero Greenhouse Gas (GHG) emission economies.”
This is an overstatement at best. Hydrogen as an energy vector is being promoted heavily by the fossil fuel industry, but fails multiple tests associated with economics, efficiency and effectiveness after decades of attempts. Hydrogen will be required as a chemical feedstock in industry, but is unlikely to be widely used in transportation, storage or heating. There are much better alternatives for the vast majority of use cases.
For those who missed it, I recently published a three part series with a contrarian but I think more accurate perspective on the future of hydrogen demand, one which saw global hydrogen demand falling, not rising. This is version 1.0 and intended to provide the basis for a fuller discussion. And to be clear, it’s a singular non-academic analyst’s perspective and in no way peer reviewed or intended to be peer reviewed, much like Liebreich’s excellent and useful hydrogen ladder. There are large error bars and it’s an opinion, not a prediction. But it is an opinion based on what is necessary across multiple domains for us to actually take action on climate, the laws of thermodynamics and basic economics. My perspective that hydrogen demand will be falling is a large part of the reason I don’t think that “blue” hydrogen is even necessary. Perpetuating and expensively remediating the significant negative externalities of the fossil fuel industry isn’t required to nearly the degree that the fossil fuel industry is trying to convince people it is.
If an updated version of the paper is produced that the authors might make this a more accurate statement, but note that it is not the direct point of the paper. It is, however, indicative of their assumptions, something which becomes clearer and clearer through the paper.
“The reductions in carbon dioxide equivalent (CO2-eq.) emissions per unit of hydrogen production were in the order of 50-85% when compared to standard NG-based hydrogen production without CCS”
There are two concerns with it. The first is that the goal cannot be 50% or even 85%. The goal is 100%. In connection with the expectation of a very large role for hydrogen in energy, 50–85% simply perpetuates the damage of climate change.
Later in the paper, the authors find that in the best cases with high monitoring and maintenance, it can exceed 90%. Further, they say that technologies that are in prototype today but not scaled could achieve 100%. It’s important to recognize that the authors make it clear that only in the best case scenarios with the absolute best practices and technology that is currently unproven will “blue” hydrogen be compatible with climate change requirements.
Magnitude of challenge vs tiny scale of CO2 use today by author
The second concerns CCS. Having reviewed all major CCS implementations and most proposed technologies, publishing regularly on the subject for several years, there is no way that CCS can or will scale to the magnitude of the emissions. At present, the total global CCUS market is 230 million tons of CO2 annually. 90 million tons of that is for enhanced oil recovery, and as the CO2 being ‘sequestered’ is first pumped from underground where it was already sequestered, is strongly negative for climate change. Meanwhile, the current scale of annual emissions is in the 40 billion tons range, and the total excess atmospheric CO2 is over a thousand billion tons. In order to stabilize the climate, we have to get to net zero and start drawing down the thousand billion tons.
This concludes the first half of the assessment of the “blue” hydrogen life-cycle assessment. As a reminder, this is non-peer reviewed draft apparently rushed to publication, and so comments in this article may not reflect the final published version of the paper. That said, given the assumptions and provenance, it’s unlikely to be substantially altered unless other reviewers find substantive errors in the modeling. I don’t dispute the LCA work that the authors have done, but am merely pointing out that their arguments about “blue” hydrogen’s value have little merit in the actual world we inhabit.
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![The ticket bot cometh: cities are ticketing drivers that AI says are bad [update]](https://i0.wp.com/electrek.co/wp-content/uploads/sites/3/2025/06/volvo-bus-nova-cta-copy.jpg?resize=1200,628&quality=82&strip=all&ssl=1)
In a high-tech move that we can all get behind and isn’t dystopian at all, the City of Barcelona is feeding camera data from its city buses into an advanced AI, but they swear they’re not using the footage to to issue tickets to bad drivers. Yet.
UPDATE 06DEC2025: the ticket bot cometh to Chicago.
Last month, the Chicago Transit Authority (CTA) contracted with Hayden AI to equip six of its transit buses with AI-powered license plate readers intended to target illegally parked vehicles in an area bound by North Avenue, Roosevelt Road, Lake Michigan and Ashland Avenue.
As with similar pilots in Barcelona and NYC, the Hayden AI technology captures information from vehicles illegally blocking bus and bike lanes, then submits its “findings” to a human reviewer for confirmation. If the reviewer agrees with the AI, they can issue a fine of $90 for parking in a bus lane, $250 for bike lane obstruction, $50 for parking in expired meters outside of the central business district, and $140 for personal vehicles parked in commercial loading zones.
Despite those hefty fines, Chicago Mayor Brandon Johnson is quick to point out that the goal of the program isn’t to generate revenue.
“Every Chicagoan deserves a transportation system that is safe, reliable, and efficient,” said Mayor Johnson, in a statement. “By keeping bus and bike lanes clear of illegally parked vehicles, the Smart Streets pilot helps us protect our most vulnerable road users while improving the daily commute for riders across the city.”
The official release makes no mention of the fact that Hayden AI’s system generated nearly $21 million in revenue for the city in just a few months, despite the fact that thousands of those ticketed weren’t doing anything wrong.
We wrote about some of these issues back in Jun. You can read that original article, below, and let us know what you think of Chicago’s “non-revenue” claims in the comments.
Barcelona and its Ring Roads Low Emission Zone have earned lots of fans by limiting ICE traffic in the city’s core. The city’s latest idea to promote mass transit is the deployment of an artificial intelligence system developed by Hayden AI for automatic enforcement of reserved lanes and stops to improve bus circulation – but while it seems to be working as intended, it’s raising entirely different questions.
“Bus lanes are designed to help deliver reliable, fast, and convenient public transport service. But private vehicles illegally using bus lanes make this impossible,” explains Laia Bonet, First Deputy Mayor, Area for Urban Planning, Ecological Transition, Urban Services and Housing at the Ajuntament de Barcelona. “We are excited to partner with Hayden AI to learn where these problems occur and how they are impacting our public transport service.”
Currently operating as a pilot program on the city’s H12 and D20 bus lines, the system uses cameras installed on the city’s electric buses to detect vehicles that commit static violations in the bus lanes and stops (read: stopping or parking where you shouldn’t). The Hayden AI system then analyses that data and provides statistical information on what it captures while the bus is driving along on its daily route.
Hayden AI says that, while it photographs and records video sequences and collects contextual information of the violation, its cameras do not record license plates or people and no penalties are being issued to drivers or owners of the vehicles.
So far so good, right? But it’s what happens once the six mont pilot is over that seems like it should be setting off alarm bells.
Big Brother Bus is watching
The footage is manually reviewed by a Transports Metropolitans de Barcelona (TMB) officer, who reportedly reviewed some 2,500 violations identified by AI in May alone. But, while the system isn’t being used to issue violations during the pilot program, it easily could.
And, in fact, it already has … and the AI f@#ked up royally.
AI writes thousands of bad tickets
When AI was given the ability to issue citations in New York City earlier this year, it wrote more than 290,000 tickets (that’s right: two-hundred and ninety thousand) in just three months, generating nearly $21 million in revenue for the city. The was just one problem: thousands of those drivers weren’t doing anything wrong.
What’s more, the fines generated by the AI powered cameras were supposed to be approved only after being verified by a human, but either that didn’t happen, or it did happen and the human operator in question wasn’t paying attention, or (maybe the worst possibility) the violations were mistakes or hallucinations, and the human checker couldn’t tell the difference.
In OpenAI’s tests of its newest o3 and o4-mini reasoning models, the company found the o3 model hallucinated 33% of the time during its PersonQA tests, in which the bot is asked questions about public figures. When asked short fact-based questions in the company’s SimpleQA tests, OpenAI said o3 hallucinated 51% of the time. The o4-mini model fared even worse: It hallucinated 41% of the time during the PersonQA test and 79% of the time in the SimpleQA test, though OpenAI said its worse performance was expected as it is a smaller model designed to be faster. OpenAI’s latest update to ChatGPT, GPT-4.5, hallucinates less than its o3 and o4-mini models. The company said when GPT-4.5 was released in February the model has a hallucination rate of 37.1% for its SimpleQA test.
I don’t know about you guys, but if we had a local traffic cop that got it wrong 33% of the time (at best), I’d be surprised if they kept their job for very long. But AI? AI has a multibillion dollar hype train and armies of undereducated believers talking about singularities and building themselves blonde robots with boobs. And once the AI starts issuing tickets to the AI that’s driving your robotaxi, it can just call its buddy AI the bank to send over your money. No human necessary, at any point, and the economy keeps on humming.
But, like – I’m sure that’s fine. Embrace the future and all that … right?
SOURCES: Hayden AI, via Chicago Sun Times, Forbes, Motorpasión.
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The Japanese agriculture equipment experts Kubota are partnering with Norwegian tech startup Kilter to co-develop, pilot, and promote the new Kilter AX-1 ultra high-precision weeding robot across Europe.
The collaboration will initially target Kubota’s vegetable growing customers in Germany and the Netherlands, specifically farmers growing spinach, salad lettuces, herbs, celeriac, and strawberries who hope to benefit of higher yields and crop quality while cutting the use of chemical pesticides to an absolute minimum.
To accomplish those goals, the Kilter AX-1 uses a patented tech package it calls “Single Drop Technology.” Single Drop Technology combines AI weed recognition and ~6 mm placement accuracy to deliver micro-doses directly to weeds, protecting the crop and minimizing the impact to the surrounding soil.
Getting that 6 mm droplet application wasn’t easy. “You can’t buy a field-ready droplet applicator off the shelf,” Anders Brevik, CEO of Kilter, told AgTechNavigator. “We had to design one that survives years of dust, vibration, temperature swings, and long operating days, while keeping droplet size, timing, and placement consistent. That takes deep agronomy knowledge, a lot of engineering, and thousands of hours of field testing.”
Kilter says growers can reduce herbicide use by up to 95% by adopting the new AX-1, shifting selectivity from chemistry to smart application.
Kubota Europe’s Smart Farming Solutions Division, launched back in 2024, is working with the company’s European dealer network to train up sales staff and integrate the Kilter robot into Kubota’s broader farm solutions portfolio. There’s no word, yet, on pricing or if/when we’ll get the Kilter in North America.
Electrek’s Take
Kubota has been bringing literal tons of electrified and autonomous ag solutions to shows like CES for the past few years, and they’ve made significant waves there. With partnerships that take the sustainability push beyond decarbonization and into the realms of de-chemicalizing (that’s a word) and pro-pollenatoring (another word), they’re making real steps towards a more sustainable future for agriculture.
SOURCES | IMAGES: Kilter, AgTechNavigator.
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![The future of electric farming is taking shape at John Deere [video]](https://i0.wp.com/electrek.co/wp-content/uploads/sites/3/2025/12/john-deere-electric.jpg?resize=1200,628&quality=82&strip=all&ssl=1)
Energy independence and cost control are top of mind for farmers, and more companies are rolling out electric equipment that can be charged by solar, wind, or even on-farm biogas. With the debut of its latest next-generation electric tractor at Agritechnica last month, John Deere is signaling that it intends to lead that revolution.
John Deere says the E-Power electric tractor prototypes that it’s been quietly teasing since 2022 will be as quiet as a car, as easy to drive as a golf cart, and require minimal upkeep – and all while providing the same performance as the company’s beloved diesel tractors.
“Our goal with the E-Power tractor is to ensure it performs the same jobs as its diesel counterparts and works with the same implements, while unlocking incremental value,” explains Derek Muller, business manager for battery electric vehicle systems at John Deere. “Through our electric lineup, we’ll look to reduce operational and maintenance costs, deliver powerful and reliable performance, and intuitive operation.”
The latest electric John Deere tractor prototype, recently unveiled at Agritechnica, is equipped with a 100 hp drive motor and two, additional motors. One 130 continuous hp electric motor for the PTO, and a third for the hydraulic pump. They’ll draw power from up to five KREISEL li-ion battery packs, allowing customers significant pricing flexibility based on their ability to determine how much power and run time they need (and are willing to pay for) to get their jobs done.
Electric John Deere tractor
The customization will go well beyond just battery size. Deere plans to offer customers a number of different tractor and equipment options, and keep costs competitive by basing them on a vehicle common architecture.
“John Deere aims to develop a single electric concept that customers can configure to their own needs,” writes Bob Karsten, at Future Farming. “Buyers will be able to choose the number of batteries (up to five, totalling 195 kWh), the axle type (narrow or wide track), and the cab (either an orchard cab or the familiar 5M cab). In essence, buyers select their preferred battery capacity. With the largest battery (195 kWh), the tractor can operate for eight hours. The target is to enable fast charging up to 80% in 30 minutes.”
Deere revealed one version of that upcoming electric tractor (above) at Agritechnica last week, but despite being an early prototype, it’s a fully functional piece that’s already seen duty with some of John Deere’s most trusted customers.
- Daniel, an orchard customer from California, said his experience with the electric tractor led him to believe it could help ease training new operators, “I do think the tractor is much easier for drivers to understand it and to drive it. It would take less time to teach them [operators] how to use it.”
- Tyler, a vineyard customer in California, believes that a new electric tractor could help his operation meet its sustainability goals, “When we look at our carbon footprint, greenhouse gas emissions, we want to try and reduce those as we run our equipment to farm our vineyards, we want to be conscious of the community at large.”
There’s no official word yet on when the new John Deere electric tractor platform will start reaching customers, but Big Green’s recent purchase of battery manufacturer KREISEL and its continued push into more global markets means that it can’t afford to take things slow.
You can check out a quick, virtual walkaround of John Deere’s E-Power electric tractor concept in this (admittedly older) video released around the ACT Expo, and expect more details and possible configurations at the upcoming CON/AGExpo conference in March.
John Deere E-Power configurations
SOURCE | IMAGES: John Deere.
If you’re considering going solar, it’s always a good idea to get quotes from a few installers. To make sure you find a trusted, reliable solar installer near you that offers competitive pricing, check out EnergySage, a free service that makes it easy for you to go solar. It has hundreds of pre-vetted solar installers competing for your business, ensuring you get high-quality solutions and save 20-30% compared to going it alone. Plus, it’s free to use, and you won’t get sales calls until you select an installer and share your phone number with them.
Your personalized solar quotes are easy to compare online and you’ll get access to unbiased Energy Advisors to help you every step of the way. Get started here.
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