Fuel rods fully exposed in Japanese reactor

By Toronto Star


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The second hydrogen explosion in three days rocked a Japanese nuclear plant, sending a massive cloud of smoke into the air and injuring 11 workers. The blast was felt 40 kilometres away, but the plant's operator said the radiation levels at the affected unit were still within legal limits.

Later, fuel rods at a separate reactor in the plant were fully exposed after it lost its ability to cool down, officials said. The exposure raises the risk of the unit overheating and adds to fears of a potential third explosion at the plant.

The morning blast occurred in Unit 3, which authorities have been trying to cool with seawater after a system failure in the wake of the recent massive earthquake and tsunami, triggered an order for hundreds of people to stay indoors, said Chief Cabinet Secretary Yukio Edano. The two disasters left at least 10,000 people dead.

Operators knew the seawater flooding would cause a pressure buildup in the reactor containment vessel — and potentially lead to an explosion — but felt they had no choice if they wanted to avoid a complete meltdown. In the end, the hydrogen in the released steam mixed with oxygen in the atmosphere and set off the blast.

The inner containment shell surrounding the Unit 3 reactor was intact, Edano said, allaying some fears of the risk to the environment and public. But the outer building around the reactor appeared to have been devastated, with only a skeletal frame remaining.

Tokyo Electric Power Co., which operates the plant, said radiation levels at Unit 3 were well under the levels where a nuclear operator must file a report to the government.

A similar explosion occurred at the plant's Unit 1, injuring four workers, causing mass evacuations and destroying much of the outer building.

Shortly after the most recent explosion, Tokyo Electric warned it had lost the ability to cool Unit 2. Hours later, the company said fuel rods in that unit were fully exposed, at least temporarily.

The company was trying to channel seawater into the reactor to cover the rods, cool them down and prevent another explosion at the stricken plant.

More than 180,000 people have evacuated the area in recent days, and up to 160 may have been exposed to radiation — pouring misery onto those already devastated by the twin disasters.

Japan's meteorological agency reported the prevailing wind in the area of the stricken nuclear plant was heading east — to the Pacific.

Seventeen U.S. military personnel involved in helicopter relief missions were found to have been exposed to low levels of radiation upon returning to the USS Ronald Reagan, an aircraft carrier about 160 kilometres offshore.

U.S. officials said the exposure level was roughly equal to one month's normal exposure to natural background radiation in the environment, and after scrubbing with soap and water, the 17 were declared contamination-free.

But as a precaution, the U.S. said the carrier and other U.S. 7th Fleet ships involved in relief efforts had shifted to another area.

While Japan has aggressively prepared for years for major earthquakes, reinforcing buildings and running drills, the impact of the tsunami — which came so quickly that not many people managed to flee to higher ground — was immense.

Officials were clearly overwhelmed by the scale of the crisis, with millions of people having spent three nights without electricity, water, food or heat in near-freezing temperatures.

Officials in one devastated town said they were running out of body bags.

Officials have declared states of emergency at six Fukushima reactors, where the twin disasters knocked out the main cooling systems and backup generators. Three are at Dai-ichi and three at the nearby Fukushima Daini complex.

Most attention, though, has been focused on Dai-ichi units 1 and 3, where operators have been funneling in sea water in a last-ditch measure to cool the reactors. A complete meltdown — the melting of the radioactive core — could release radioactive contaminants into the environment and pose major, widespread health risks.

Edano said no Fukushima reactor was near that point, and he was confident of escaping the worst scenarios.

International scientists say there are serious dangers but little risk of a Chernobyl-style catastrophe. Chernobyl, they note, had no containment shell around the reactor.

“The likelihood there will be a huge fire like at Chernobyl or a major environmental release like at Chernobyl, I think that's basically impossible,” said James F. Stubbins, a nuclear energy professor at the University of Illinois.

And, some analysts noted, the length of time since the nuclear crisis began indicates that the chemical reactions inside the reactor were not moving quickly toward a complete meltdown.

“We're now into the fourth day. Whatever is happening in that core is taking a long time to unfold,” said Mark Hibbs, a senior associate at the nuclear policy program for the Carnegie Endowment for International Peace. “They've succeeded in prolonging the timeline of the accident sequence.”

But despite official assurances, many residents expressed fear over the situation.

“First I was worried about the quake,” said Kenji Koshiba, a construction worker who lives near the plant. “Now I'm worried about radiation.” He spoke at an emergency centre in Koriyama, about 60 kilometres from the most troubled reactors.

Overall, more than 1,500 people had been scanned for radiation exposure in the area, officials said.

The UN nuclear agency said a state of emergency was also declared Sunday at another complex, the Onagawa power plant, after higher-than-permitted levels of radiation were measured there. It said Japan informed it that all three of those reactors there were under control.

Four nuclear complexes in northeastern Japan have reported some damage from the quake or the tsunami.

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Medicine Hat Grant Winners to Upgrade Grid and Use AI for Energy Savings

Medicine Hat Smart Grid AI modernizes electricity distribution with automation, sensors, and demand response, enhancing energy efficiency and renewable integration while using predictive analytics and real-time data to reduce consumption and optimize grid operations.

 

Key Points

An initiative using smart grid tech and AI to optimize energy use, cut waste, and improve renewable integration.

✅ Predictive analytics forecast demand to balance load and prevent outages.

✅ Automation, sensors, and meters enable dynamic, resilient distribution.

✅ Integrates solar and wind with demand response to cut emissions.

 

The city of Medicine Hat, Alberta, is taking bold steps toward enhancing its energy infrastructure and reducing electricity consumption with the help of innovative technology. Recently, several grant winners have been selected to improve the city's electricity grid distribution and leverage artificial intelligence (AI) to adapt to electricity demands while optimizing energy use. These projects promise to not only streamline energy delivery but also contribute to more sustainable practices by reducing energy waste.

Advancing the Electricity Grid

Medicine Hat’s electricity grid is undergoing a significant transformation, thanks to a new set of initiatives funded by government grants that advance a smarter electricity infrastructure vision for the region. The city has long been known for its commitment to sustainable energy practices, and these new projects are part of that legacy. The winners of the grants aim to modernize the city’s electricity grid to make it more resilient, efficient, and adaptable to the changing demands of the future, aligning with macrogrid strategies adopted nationally.

At the core of these upgrades is the integration of smart grid technologies. A smart grid is a more advanced version of the traditional power grid, incorporating digital communications and real-time data to optimize the delivery and use of electricity. By connecting sensors, meters, and control systems across the grid, along with the integration of AI data centers where appropriate, the grid can detect and respond to changes in demand, adjust to faults or outages, and even integrate renewable energy sources more efficiently.

One of the key aspects of the grant-funded projects involves automating the grid. Automation allows for the dynamic adjustment of power distribution in response to changes in demand or supply, reducing the risk of blackouts or inefficiencies. For instance, if an area of the city experiences a surge in energy use, the grid can automatically reroute power from less-used areas or adjust the distribution to avoid overloading circuits. This kind of dynamic response is crucial for maintaining a stable and reliable electricity supply.

Moreover, the enhanced grid will be able to better incorporate renewable energy sources such as solar and wind power, reflecting British Columbia's clean-energy shift as well, which are increasingly important in Alberta’s energy mix. By utilizing a more flexible and responsive grid, Medicine Hat can make the most of renewable energy when it is available, reducing reliance on non-renewable sources.

Using AI to Reduce Energy Consumption

While improving the grid infrastructure is an essential first step, the real innovation comes in the form of using artificial intelligence (AI) to reduce energy consumption. Several of the grant winners are focused on developing AI-driven solutions that can predict energy demand patterns, optimize energy use in real-time, and encourage consumers to reduce unnecessary energy consumption.

AI can be used to analyze vast amounts of data from across the electricity grid, such as weather forecasts, historical energy usage, and real-time consumption data. This analysis can then be used to make predictions about future energy needs. For example, AI can predict when the demand for electricity will peak, allowing the grid operators to adjust supply ahead of time, ensuring a more efficient distribution of power. By predicting high-demand periods, AI can also assist in optimizing the use of renewable energy sources, ensuring that solar and wind power are utilized when they are most abundant.

In addition to grid management, AI can help consumers save energy by making smarter decisions about how and when to use electricity. For instance, AI-powered smart home devices can learn household routines and adjust heating, cooling, and appliance usage to reduce energy consumption without compromising comfort. By using data to optimize energy use, these technologies not only reduce costs for consumers but also decrease overall demand on the grid, leading to a more sustainable energy system.

The AI initiatives are also expected to assist businesses in reducing their carbon footprints. By using AI to monitor and optimize energy use, industrial and commercial enterprises can cut down on waste and reduce energy-related operational costs, while anticipating digital load growth signaled by an Alberta data centre agreement in the province. This has the potential to make Medicine Hat a more energy-efficient city, benefiting both residents and businesses alike.

A Sustainable Future

The integration of smart grid technology and AI-driven solutions is positioning Medicine Hat as a leader in sustainable energy practices. The city’s approach is focused not only on improving energy efficiency and reducing waste but also on making electricity consumption more manageable and adaptable in a rapidly changing world. These innovations are a crucial part of Medicine Hat's long-term strategy to reduce carbon emissions and meet climate goals while ensuring reliable and affordable energy for its residents.

In addition to the immediate benefits of these projects, the broader impact is likely to influence other municipalities across Canada, including insights from Toronto's electricity planning for rapid growth, and beyond. As the technology matures and proves successful, it could set a benchmark for other cities looking to modernize their energy grids and adopt sustainable, AI-driven solutions.

By investing in these forward-thinking technologies, Medicine Hat is not only future-proofing its energy infrastructure but also taking decisive steps toward a greener, more energy-efficient future. The collaboration between local government, technology providers, and the community marks a significant milestone in the city’s commitment to innovation and sustainability.

 

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Germany's Call for Hydrogen-Ready Power Plants

Germany Hydrogen-Ready Power Plants Tender accelerates the energy transition by enabling clean energy generation, decarbonization, and green hydrogen integration through retrofit and new-build capacity, resilient infrastructure, flexible storage, and grid reliability provisions.

 

Key Points

Germany tender to build or convert plants for hydrogen, advancing decarbonization, energy security, and clean power.

✅ Hydrogen-ready retrofits and new-build generation capacity

✅ Supports decarbonization, grid reliability, and flexible storage

✅ Future-proof design for green hydrogen supply integration

 

Germany, a global leader in energy transition and environmental sustainability, has recently launched an ambitious call for tenders aimed at developing hydrogen-ready power plants. This initiative is a significant step in the country's strategy to transform its energy infrastructure and support the broader goal of a greener economy. The move underscores Germany’s commitment to reducing greenhouse gas emissions and advancing clean energy technologies.

The Need for Hydrogen-Ready Power Plants

Hydrogen, often hailed as a key player in the future of clean energy, offers a promising solution for decarbonizing various sectors, including power generation. Unlike fossil fuels, hydrogen produces zero carbon emissions when used in fuel cells or burned. This makes it an ideal candidate for replacing conventional energy sources that contribute to climate change.

Germany’s push for hydrogen-ready power plants reflects the country’s recognition of hydrogen’s potential in achieving its climate goals. Traditional power plants, which typically rely on coal, natural gas, or oil, emit substantial amounts of CO2. Transitioning these plants to utilize hydrogen can significantly reduce their carbon footprint and align with Germany's climate targets.

The Details of the Tender

The recent tender call is part of Germany's broader strategy to incorporate hydrogen into its energy mix, amid a nuclear option debate in climate policy. The tender seeks proposals for power plants that can either be converted to use hydrogen or be built with hydrogen capability from the outset. This approach allows for flexibility and innovation in how hydrogen technology is integrated into existing and new energy infrastructures.

One of the critical aspects of this initiative is the focus on “hydrogen readiness.” This means that power plants must be designed or retrofitted to operate with hydrogen either exclusively or in combination with other fuels. The goal is to ensure that these facilities can adapt to the growing availability of hydrogen and seamlessly transition from conventional fuels without significant additional modifications.

By setting such requirements, Germany aims to stimulate the development of technologies that can handle hydrogen’s unique properties and ensure that the infrastructure is future-proofed. This includes addressing challenges related to hydrogen storage, transportation, and combustion, and exploring concepts like storing electricity in natural gas pipes for system flexibility.

Strategic Implications for Germany

Germany’s call for hydrogen-ready power plants has several strategic implications. First and foremost, it aligns with the country’s broader energy strategy, which emphasizes the need for a transition from fossil fuels to cleaner alternatives, building on its decision to phase out coal and nuclear domestically. As part of its commitment to the Paris Agreement and its own climate action plans, Germany has set ambitious targets for reducing greenhouse gas emissions and increasing the share of renewable energy in its energy mix.

Hydrogen plays a crucial role in this strategy, particularly for sectors where direct electrification is challenging. For instance, heavy industry and certain industrial processes, such as green steel production, require high-temperature heat that is difficult to achieve with electricity alone. Hydrogen can fill this gap, providing a cleaner alternative to natural gas and coal.

Moreover, this initiative helps Germany bolster its leadership in green technology and innovation. By investing in hydrogen infrastructure, Germany positions itself as a pioneer in the global energy transition, potentially influencing international standards and practices. The development of hydrogen-ready power plants also opens up new economic opportunities, including job creation in engineering, construction, and technology sectors.

Challenges and Opportunities

While the push for hydrogen-ready power plants presents significant opportunities, it also comes with challenges. Hydrogen production, especially green hydrogen produced from renewable sources, remains relatively expensive compared to conventional fuels. Scaling up production and reducing costs are critical for making hydrogen a viable alternative for widespread use.

Furthermore, integrating hydrogen into existing power infrastructure, alongside electricity grid expansion, requires careful planning and investment. Issues such as retrofitting existing plants, ensuring safe handling of hydrogen, and developing efficient storage and transportation systems must be addressed.

Despite these challenges, the long-term benefits of hydrogen integration are substantial, and a net-zero roadmap indicates electricity costs could fall by a third. Hydrogen can enhance energy security, reduce reliance on imported fossil fuels, and support global climate goals. For Germany, this initiative is a step towards realizing its vision of a sustainable, low-carbon energy system.

Conclusion

Germany’s call for hydrogen-ready power plants is a forward-thinking move that reflects its commitment to sustainability and innovation. By encouraging the development of infrastructure capable of using hydrogen, Germany is taking a significant step towards a cleaner energy future. While challenges remain, the strategic focus on hydrogen underscores Germany’s leadership in the global transition to a low-carbon economy. As the world grapples with the urgent need to address climate change, Germany’s approach serves as a model for integrating emerging technologies into national energy strategies.

 

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Roads Need More Electricity: They Will Make It Themselves

Electrically Smart Roads integrate solar road surfaces, inductive charging, IoT sensors, AI analytics, and V2X to power lighting, deicing, and monitoring, reducing grid dependence while enabling dynamic EV charging and real-time traffic management.

 

Key Points

Electrically smart roads generate power, sense conditions, and charge EVs using solar, IoT, AI, and dynamic infrastructure.

✅ Solar surfaces, verges, and gantries generate on-site electricity

✅ Inductive lanes enable dynamic EV charging at highway speeds

✅ Embedded IoT sensors and AI deliver real-time traffic insights

 

As more and more capabilities are added to roads instead of simply covering a country with extra roads, they are starting to make their own electricity, notably as solar road surface but then with added silent wind turbines, photovoltaic verges and barriers and more.

That toll gate, street light and traffic monitoring system all need electricity. Later, roads that deice and charge vehicles at speed will need huge amounts of electricity. For now, electricity for road systems is provided by very expensive infrastructure to the grid, and grid flexibility for EVs remains a concern, except for a few solar/ wind street lights in China and Korea for example. However, as more and more capabilities are added to roads instead of simply covering a country with extra roads, they are starting to make their own electricity, notably as solar road surface but then with added silent wind turbines, photovoltaic verges and barriers and more. There is also highly speculative work in the USA and UK on garnering power from road surface movement using piezoelectrics and electrodynamics and even its heat. 

#google#

China plans to create an intelligent transport system by 2030. The country hopes to build smart roads that will not only be able to charge electric cars as they drive but also monitor temperature, traffic flow and weight load using artificial intelligence. Indeed, like France, the Netherlands and the USA, where U.S. EV charging capacity is under scrutiny, it already has trials of extended lengths of solar road which cost no more than regular roads. In an alternative approach, vehicles go under tunnels of solar panels that also support lighting, light-emitting signage and monitoring equipment using the electricity made where it is needed. See the IDTechEx Research report, Electrically Smart Roads 2018-2028 for more.

Raghu Das, CEO of IDTechEx says, "The spiral vertical axis wind turbines VAWT in Asia rarely rotate because they are too low but much higher versions are planned on large UK roadside vehicle charging centres that should work well. H shaped VAWT is also gaining traction - much slower and quieter than the propeller shape which vibrates and keeps you awake at night in an urban area.

The price gap between the ubiquitous polycrystalline silicon solar cell and the much more efficient single crystal silicon is narrowing. That means that road furniture such as bus shelters and smart gantries will likely go for more solar rather than adding wind power in many cases, a shift mirrored by connected solar tech in homes, because wind power needs a lot of maintenance and its price is not dropping as rapidly."

The IDTechEx Research report, Off Grid Electric Vehicle Charging: Zero Emission 2018-2028 analyses that aspect, while vehicle-to-grid strategies may complement grid resources. The prototype of a smart road is already in place on an expressway outside of Jinan, providing better traffic updates as well as more accurate mapping. Verizon's IoT division has launched a project around intelligent asphalt, which it thinks has the potential to significantly reduce fossil fuel emissions and save time by reducing up to 44% of traffic backups. It has partnered with Sacramento, California, to test this theory.

"By embedding sensors into the pavement as well as installing cameras on traffic lights, we will be able to study and analyze the flow of traffic. Then, we will take all of that data and use it to optimize the timing of lights so that traffic flows easier and travel times are shorter," explains Sean Harrington, vice president of Verizon Smart Communities.

Colorado's Department of Transportation has recently announced its intention to be the first state to pilot smart roads by striking a five-year deal with a smart road company to test the technology. Like planned auto-deicing roads elsewhere, the aim of this project is, first and foremost, to save lives. The technology will detect when a car suddenly leaves a road and send emergency assistance to the area. The IDTechEx Research report Electrically Smart Roads 2018-2028 describes how others work on real time structural monitoring of roads and embedded interactive lighting and road surface signage.

"Smart pavement can make that determination and send that information directly into a vehicle," Peter Kozinski, director of CDOT's RoadX division, tells the Denver Post. "Data is the new asphalt of transportation."   Sensors, processors and other technology are embedded in the Colorado road to extend capability beyond accidents and reach into better road maintenance. Fast adoption relies on the ability to rapidly install sensor-laden pavement or lay concrete slabs. Attention therefore turns to fast adaptation of existing roads. Indeed, even for the heavy coil arrays used for dynamic vehicle charging, even as state power grids face new challenges, in Israel there are machines that can retrofit into the road surface at a remarkable two kilometres of cut and insert in a day.

"It's hard to imagine that these things are inexpensive, with all the electronics in them," Charles Schwartz, a professor of civil and environmental engineering at the University of Maryland, tells the Denver Post concerning the vehicle sensing project, "but CDOT is a fairly sophisticated agency, and this is an interesting pilot project. We can learn a lot, even if the test is only partially successful."

 

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The Great Debate About Bitcoin's Huge Appetite For Electricity Determining Its Future

Bitcoin Energy Debate examines electricity usage, mining costs, environmental impact, and blockchain efficiency, weighing renewable power, carbon footprint, scalability, and transaction throughput to clarify stakeholder claims from Tesla, Square, academics, and policymakers.

 

Key Points

Debate on Bitcoin mining's power use, environmental impact, efficiency, and scalability versus alternative blockchains.

✅ Compares energy intensity with transaction throughput and system outputs.

✅ Weighs renewables, stranded power, and carbon footprint in mining.

✅ Assesses PoS blockchains, stablecoins, and scalability tradeoffs.

 

There is a great debate underway about the electricity required to process Bitcoin transactions. The debate is significant, the stakes are high, the views are diverse, and there are smart people on both sides. Bitcoin generates a lot of emotion, thereby producing too much heat and not enough light. In this post, I explain the importance of identifying the key issues in the debate, and of understanding the nature and extent of disagreement about how much electrical energy Bitcoin consumes.

Consider the background against which the debate is taking place. Because of its unstable price, Bitcoin cannot serve as a global mainstream medium of exchange. The instability is apparent. On January 1, 2021, Bitcoin’s dollar price was just over $29,000. Its price rose above $63,000 in mid-April, and then fell below $35,000, where it has traded recently. Now the financial media is asking whether we are about to experience another “cyber winter” as the prices of cryptocurrencies continue their dramatic declines.

Central banks warns of bubble on bitcoins as it skyrockets
As bitcoins skyrocket to more than $12 000 for one BTC, many central banks as ECB or US Federal ... [+] NURPHOTO VIA GETTY IMAGES
Bitcoin is a high sentiment beta asset, and unless that changes, Bitcoin cannot serve as a global mainstream medium of exchange. Being a high sentiment beta asset means that Bitcoin’s market price is driven much more by investor psychology than by underlying fundamentals.

As a general matter, high sentiment beta assets are difficult to value and difficult to arbitrage. Bitcoin qualifies in this regard. As a general matter, there is great disagreement among investors about the fair values of high sentiment beta assets. Bitcoin qualifies in this regard.

One major disagreement about Bitcoin involves the very high demand for electrical power associated with Bitcoin transaction processing, an issue that came to light several years ago. In recent months, the issue has surfaced again, in a drama featuring disagreement between two prominent industry leaders, Elon Musk (from Tesla and SpaceX) and Jack Dorsey (from Square).

On one side of the argument, Musk contends that Bitcoin’s great need for electrical power is detrimental to the environment, especially amid disruptions in U.S. coal and nuclear power that increase supply strain.  On the other side, Dorsey argues that Bitcoin’s electricity profile is a benefit to the environment, in part because it provides a reliable customer base for clean electric power. This might make sense, in the absence of other motives for generating clean power; however, it seems to me that there has been a surge in investment in alternative technologies for producing electricity that has nothing to do with cryptocurrency. So I am not sure that the argument is especially strong, but will leave it there. In any event, this is a demand side argument.

A supply side argument favoring Bitcoin is that the processing of Bitcoin transactions, known as “Bitcoin mining,” already uses clean electrical power, power which has already been produced, as in hydroelectric plants at night, but not otherwise consumed in an era of flat electricity demand across mature markets.

Both Musk and Dorsey are serious Bitcoin investors. Earlier this year, Tesla purchased $1.5 billion of Bitcoin, agreed to accept Bitcoin as payment for automobile sales, and then reversed itself. This reversal appears to have pricked an expanding Bitcoin bubble. Square is a digital transaction processing firm, and Bitcoin is part of its long-term strategy.

Consider two big questions at the heart of the digital revolution in finance. First, to what degree will blockchain replace conventional transaction technologies? Second, to what degree will competing blockchain based digital assets, which are more efficient than Bitcoin, overcome Bitcoin’s first mover advantage as the first cryptocurrency?

To gain some insight about possible answers to these questions, and the nature of the issues related to the disagreement between Dorsey and Musk, I emailed a series of academics and/or authors who have expertise in blockchain technology.

David Yermack, a financial economist at New York University, has written and lectured extensively on blockchains. In 2019, Yermack wrote the following: “While Bitcoin and successor cryptocurrencies have grown remarkably, data indicates that many of their users have not tried to participate in the mainstream financial system. Instead they have deliberately avoided it in order to transact in black markets for drugs and other contraband … or evade capital controls in countries such as China.” In this regard, cyber-criminals demanding ransom for locking up their targets information systems often require payment in Bitcoin. Recent examples of cyber-criminal activity are not difficult to find, such as incidents involving Kaseya and Colonial Pipeline.

David Yermack continues: “However, the potential benefits of blockchain for improving data security and solving moral hazard problems throughout the financial system have become widely apparent as cryptocurrencies have grown.” In his recent correspondence with me, he argues that the electrical power issue associated with Bitcoin “mining,” is relatively minor because Bitcoin miners are incentivized to seek out cheap electric power, and patterns shifted as COVID-19 changed U.S. electricity consumption across sectors.

Thomas Philippon, also a financial economist at NYU, has done important work characterizing the impact of technology on the resource requirements of the financial sector. He has argued that historically, the financial sector has comprised about 6-to-7% of the economy on average, with variability over time. Unit costs, as a percentage of assets, have consistently been about 2%, even with technological advances. In respect to Bitcoin, he writes in his correspondence with me that Bitcoin is too energy inefficient to generate net positive social benefits, and that energy crisis pressures on U.S. electricity and fuels complicate the picture, but acknowledges that over time positive benefits might be possible.

Emin Gün Sirer is a computer scientist at Cornell University, whose venture AVA Labs has been developing alternative blockchain technology for the financial sector. In his correspondence with me, he writes that he rejects the argument that Bitcoin will spur investment in renewable energy relative to other stimuli. He also questions the social value of maintaining a fairly centralized ledger largely created by miners that had been in China and are now migrating to other locations such as El Salvador.

Bob Seeman is an engineer, lawyer, and businessman, who has written a book entitled Bitcoin: The Mother of All Scams. In his correspondence with me, he writes that his professional experience with Bitcoin led him to conclude that Bitcoin is nothing more than unlicensed gambling, a point he makes in his book.

David Gautschi is an academic at Fordham University with expertise in global energy. I asked him about studies that compare Bitcoin’s use of energy with that of the U.S. financial sector. In correspondence with me, he cautioned that the issues are complex, and noted that online technology generally consumes a lot of power, with electricity demand during COVID-19 highlighting shifting load profiles.

My question to David Gautschi was prompted by a study undertaken by the cryptocurrency firm Galaxy Digital. This study found that the financial sector together with the gold industry consumes twice as much electrical power as Bitcoin transaction processing. The claim by Galaxy is that Bitcoin’s electrical power needs are “at least two times lower than the total energy consumed by the banking system as well as the gold industry on an annual basis.”

Galaxy’s analysis is detailed and bottom up based. In order to assess the plausibility of its claims, I did a rough top down analysis whose results were roughly consistent with the claims in the Galaxy study. For sake of disclosure, I placed the heuristic calculations I ran in a footnote.1 If we accept the Galaxy numbers, there remains the question of understanding the outputs produced by the electrical consumption associated with both Bitcoin mining and U.S. banks’ production of financial services. I did not see that the Galaxy study addresses the output issue, and it is important.

Consider some quick statistics which relate to the issue of outputs. The total market for global financial services was about $20 trillion in 2020. The number of Bitcoin transactions processed per day was about 330,000 in December 2020, and about 400,000 in January 2021. The corresponding number for Bitcoin’s digital rival Ethereum during this time was about 1.1 million transactions per day. In contrast, the global number of credit card transactions per day in 2018 was about 1 billion.2

Bitcoin Value Falls
LONDON, ENGLAND - NOVEMBER 20: A visual representation of the cryptocurrencies Bitcoin and Ethereum ... [+] GETTY IMAGES
These numbers tell us that Bitcoin transactions comprise a small share, on the order of 0.04%, of global transactions, but use something like a third of the electricity needed for these transactions. That said, the associated costs of processing Bitcoin transactions relate to tying blocks of transactions together in a blockchain, not to the number of transactions. Nevertheless, even if the financial sector does indeed consume twice as much electrical power as Bitcoin, the disparity between Bitcoin and traditional financial technology is striking, and the experience of Texas grid reliability underscores system constraints when it comes to output relative to input.  This, I suggest, weakens the argument that Bitcoin’s electricity demand profile is inconsequential because Bitcoin mining uses slack electricity.

A big question is how much electrical power Bitcoin mining would require, if Bitcoin were to capture a major share of the transactions involved in world commerce. Certainly much more than it does today; but how much more?

Given that Bitcoin is a high sentiment beta asset, there will be a lot of disagreement about the answers to these two questions. Eventually we might get answers.

At the same time, a high sentiment beta asset is ill suited to being a medium of exchange and a store of value. This is why stablecoins have emerged, such as Diem, Tether, USD Coin, and Dai. Increased use of these stable alternatives might prevent Bitcoin from ever achieving a major share of the transactions involved in world commerce.

We shall see what the future brings. Certainly El Salvador’s recent decision to make Bitcoin its legal tender, and to become a leader in Bitcoin mining, is something to watch carefully. Just keep in mind that there is significant downside to experiencing foreign exchange rate volatility. This is why global financial institutions such as the World Bank and IMF do not support El Salvador’s decision; and as I keep saying, Bitcoin is a very high sentiment beta asset.

In the past I suggested that Bitcoin bubble would burst when Bitcoin investors conclude that its associated processing is too energy inefficient. Of course, many Bitcoin investors are passionate devotees, who are vulnerable to the psychological bias known as motivated reasoning. Motivated reasoning-based sentiment, featuring denial,3 can keep a bubble from bursting, or generate a series of bubbles, a pattern we can see from Bitcoin’s history.

I find the argument that Bitcoin is necessary to provide the right incentives for the development of clean alternatives for generating electricity to be interesting, but less than compelling. Are there no other incentives, such as evolving utility trends, or more efficient blockchain technologies? Bitcoin does have a first mover advantage relative to other cryptocurrencies. I just think we need to be concerned about getting locked into an technologically inferior solution because of switching costs.

There is an argument to made that decisions, such as how to use electric power, are made in markets with self-interested agents properly evaluating the tradeoffs. That said, think about why most of the world adopted the Windows operating system in the 1980s over the superior Mac operating system offered by Apple. Yes, we left it to markets to determine the outcome. People did make choices; and it took years for Windows to catch up with the Mac’s operating system.

My experience as a behavioral economist has taught me that the world is far from perfect, to expect to be surprised, and to expect people to make mistakes. We shall see what happens with Bitcoin going forward.

As things stand now, Bitcoin is well suited as an asset for fulfilling some people’s urge to engage in high stakes gambling. Indeed, many people have a strong need to engage in gambling. Last year, per capita expenditure on lottery tickets in Massachusetts was the highest in the U.S. at over $930.

High sentiment beta assets offer lottery-like payoffs. While Bitcoin certainly does a good job of that, it cannot simultaneously serve as an effective medium of exchange and reliable store of value, even setting aside the issue at the heart of the electricity debate.

 

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Ontario's EV Jobs Boom

Honda Canada EV Supply Chain accelerates electric vehicles with Ontario assembly, battery manufacturing, CAM/pCAM and separator plants in Alliston, creating green jobs, strengthening domestic manufacturing, and reducing greenhouse gas emissions across North America.

 

Key Points

A $15B Ontario initiative for end-to-end EVs, batteries, and components, creating jobs and cutting emissions.

✅ Alliston EV assembly and battery plants anchor production.

✅ CAM/pCAM and separator facilities via POSCO, Asahi JV.

✅ $15B build-out drives jobs, R&D, and lower emissions.

 

The electric vehicle (EV) revolution is gaining momentum in Canada, with Honda Canada announcing a historic $15 billion investment to establish the country's first comprehensive EV supply chain in Ontario. This ambitious project promises to create thousands of new jobs, solidify Canada's position in the EV market, and significantly reduce greenhouse gas emissions.

Honda's Electrifying Vision

The centerpiece of this initiative is a brand-new, world-class electric vehicle assembly plant in Alliston, Ontario. This will be Honda's first dedicated EV assembly plant globally, marking a significant shift towards a more sustainable future. Additionally, a standalone battery manufacturing plant will be constructed at the same location, ensuring a reliable and efficient domestic supply of EV batteries.

Beyond Assembly: A Complete Ecosystem

Honda's vision extends beyond just vehicle assembly. The investment also includes the construction of two additional plants dedicated to critical battery components, mirroring activity such as a Niagara Region battery plant in Ontario: a cathode active material and precursor (CAM/pCAM) processing plant and a separator plant. These facilities, established through joint ventures with POSCO Future M Co., Ltd. and Asahi Kasei Corporation, will ensure a comprehensive in-house EV production capability.

Jobs, Growth, and a Greener Future

This large-scale project is expected to create significant economic benefits for Ontario. The construction and operation of the new facilities are projected to generate over one thousand well-paying manufacturing jobs, similar to GM's Ontario EV plant announcements that underscore employment gains across the province. Additionally, the investment will stimulate growth within Ontario's leading auto parts supplier and research and development ecosystems, bolstered by government-backed EV plant upgrades that reinforce local supply chains, creating even more indirect job opportunities.

But the benefits extend beyond the economy. The transition to electric vehicles plays a crucial role in combating climate change. By bringing EV production onshore, Honda Canada is contributing to a significant reduction in greenhouse gas emissions, aligning with Canada's ambitious climate goals for transportation.

A Catalyst for Change

Honda's investment is a significant vote of confidence in Canada's potential as a leader in the EV industry, as recent EV manufacturing deals put the country in the race. The establishment of this comprehensive EV supply chain will not only benefit Honda, but also attract other EV manufacturers and solidify Ontario's position as a North American EV hub.

The road ahead for Canada's EV industry is bright. With Honda's commitment and this groundbreaking project, and with Ford's Oakville EV plans underway, Canada is well on its way to a cleaner, more sustainable future powered by electric vehicles.

 

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Grid coordination opens road for electric vehicle flexibility

Smart EV Charging orchestrates vehicle-to-grid (V2G), demand response, and fast charging to balance the power grid, integrating renewables, electrolyzers for hydrogen, and megawatt chargers for fleets with advanced control and co-optimization.

 

Key Points

Smart EV charging coordinates EV load to stabilize the grid, cut peaks, and integrate renewable energy efficiently.

✅ Reduces peak demand via coordinated, flexible load control

✅ Enables V2G services with renewables and battery storage

✅ Supports megawatt fast charging for heavy-duty fleets

 

As electric vehicle (EV) sales continue to rev up in the United States, the power grid is in parallel contending with the greatest transformation in its 100-year history: the large-scale integration of renewable energy and power electronic devices. The expected expansion of EVs will shift those challenges into high gear, causing cities to face gigawatt-growth in electricity demand, as analyses of EV grid impacts indicate, and higher amounts of variable energy.

Coordinating large numbers of EVs with the power system presents a highly complex challenge. EVs introduce variable electrical loads that are highly dependent on customer behavior. Electrified transportation involves co-optimization with other energy systems, like natural gas and bulk battery storage, including mobile energy storage flexibility for new operational options. It could involve fleets of automated ride-hailing EVs and lead to hybrid-energy truck stops that provide hydrogen and fast-charging to heavy-duty vehicles.

Those changes will all test the limits of grid integration, but the National Renewable Energy Laboratory (NREL) sees opportunity at the intersection of energy systems and transportation. With powerful resources for simulating and evaluating complex systems, several NREL projects are determining the coordination required for fast charging, balancing electrical supply and demand, and efficient use of all energy assets.


Smart and Not-So-Smart Control
To appreciate the value of coordinated EV charging, it is helpful to imagine the opposite scenario.

"Our first question is how much benefit or burden the super simple, uncoordinated approach to electric vehicle charging offers the grid," said Andrew Meintz, the researcher leading NREL's Electric Vehicle Grid Integration team, as well as the RECHARGE project for smart EV charging. "Then we compare that to the 'whiz-bang,' everything-is-connected approach. We want to know the difference in value."

In the "super simple" approach, Meintz explained that battery-powered electric vehicles grow in market share, exemplified by mass-market EVs, without any evolution in vehicle charging coordination. Picture every employee at your workplace driving home at 5 p.m. and charging their vehicle. That is the grid's equivalent of going 0 to 100 mph, and if it does not wreck the system, it is at least very expensive. According to NREL's Electrification Futures Study, a comprehensive analysis of the impacts of widespread electrification across all U.S. economic sectors, in 2050 EVs could contribute to a 33% increase in energy use during peak electrical demand, underscoring state grid challenges that make these intervals costly when energy reserves are procured. In duck curve parlance, EVs will further strain the duck's neck.

The Optimization and Control Lab's Electric Vehicle Grid Integration bays allow researchers to determine how advanced high power chargers can be added safely and effectively to the grid, with the potential to explore how to combine buildings and EV charging. Credit: Dennis Schroeder, NREL
Meintz's "whiz-bang" approach instead imagines EV control strategies that are deliberate and serve to smooth, rather than intensify, the upcoming demand for electricity. It means managing both when and where vehicles charge to create flexible load on the grid.

At NREL, smart strategies to dispatch vehicles for optimal charging are being developed for both the grid edge, where consumers and energy users connect to the grid, as in RECHARGEPDF, and the entire distribution system, as in the GEMINI-XFC projectPDF. Both projects, funded by the U.S. Department of Energy's (DOE's) Vehicle Technologies Office, lean on advanced capabilities at NREL's Energy Systems Integration Facility to simulate future energy systems.

At the grid edge, EVs can be co-optimized with distributed energy resources—small-scale generation or storage technologies—the subject of a partnership with Eaton that brought industry perspectives to bear on coordinated management of EV fleets.

At the larger-system level, the GEMINI-XFC project has extended EV optimization scenarios to the city scale—the San Francisco Bay Area, to be specific.

"GEMINI-XFC involves the highest-ever-fidelity modeling of transportation and the grid," said NREL Research Manager of Grid-Connected Energy Systems Bryan Palmintier.

"We're combining future transportation scenarios with a large metro area co-simulationPDF—millions of simulated customers and a realistic distribution system model—to find the best approaches to vehicles helping the grid."

GEMINI-XFC and RECHARGE can foresee future electrification scenarios and then insert controls that reduce grid congestion or offset peak demand, for example. Charging EVs involves a sort of shell game, where loads are continually moved among charging stations to accommodate grid demand.

But for heavy-duty vehicles, the load is harder to hide. Electrified truck fleets will hit the road soon, creating power needs for electric truck fleets that translate to megawatts of localized demand. No amount of rerouting can avoid the requirements of charging heavy-duty vehicles or other instances of extreme fast-charging (XFC). To address this challenge, NREL is working with industry and other national laboratories to study and demonstrate the technological buildout necessary to achieve 1+ MW charging stationsPDF that are capable of fast charging at very high energy levels for medium- and heavy-duty vehicles.

To reach such a scale, NREL is also considering new power conversion hardware based on advanced materials like wide-bandgap semiconductors, as well as new controllers and algorithms that are uniquely suited for fleets of charge-hungry vehicles. The challenge to integrate 1+ MW charging is also pushing NREL research to higher power: Upcoming capabilities will look at many-megawatt systems that tie in the support of other energy sectors.


Renewable In-Roads for Hydrogen

At NREL, the drive toward larger charging demands is being met with larger research capabilities. The announcement of ARIES opens the door to energy systems integration research at a scale 10-times greater than current capabilities: 20 MW, up from 2 MW. Critically, it presents an opportunity to understand how mobility with high energy demands can be co-optimized with other utility-scale assets to benefit grid stability.

"If you've got a grid humming along with a steady load, then a truck requires 500 kW or more of power, it could create a large disruption for the grid," said Keith Wipke, the laboratory program manager for fuel cells and hydrogen technologies at NREL.

Such a high power demand could be partially served by battery storage systems. Or it could be hidden entirely with hydrogen production. Wipke's program, with support from the DOE's Hydrogen and Fuel Cell Technologies Office, has been performing studies into how electrolyzers—devices that use electricity to break water into hydrogen and oxygen—could offset the grid impacts of XFC. These efforts are also closely aligned with DOE's H2@Scale vision for affordable and effective hydrogen use across multiple sectors, including heavy-duty transportation, power generation, and metals manufacturing, among others.

"We're simulating electrolyzers that can match the charging load of heavy-duty battery electric vehicles. When fast charging begins, the electrolyzers are ramped down. When fast charging ends, the electrolyzers are ramped back up," Wipke said. "If done smoothly, the utility doesn't even know it's happening."

NREL Researchers Rishabh Jain, Kazunori Nagasawa, and Jen Kurtz are working on how grid integration of electrolyzers—devices that use electricity to break water into hydrogen and oxygen—could offset the grid impacts of extreme fast-charging. Credit: National Renewable Energy Laboratory
As electrolyzers harness the cheap electrons from off-demand periods, a significant amount of hydrogen can be produced on site. That creates a natural energy pathway from discount electricity into a fuel. It is no wonder, then, that several well-known transportation and fuel companies have recently initiated a multimillion-dollar partnership with NREL to advance heavy-duty hydrogen vehicle technologies.

"The logistics of expanding electric charging infrastructure from 50 kW for a single demonstration battery electric truck to 5,000 kW for a fleet of 100 could present challenges," Wipke said. "Hydrogen scales very nicely; you're basically bringing hydrogen to a fueling station or producing it on site, but either way the hydrogen fueling events are decoupled in time from hydrogen production, providing benefits to the grid."

The long driving range and fast refuel times—including a DOE target of achieving 10-minutes refuel for a truck—have already made hydrogen the standout solution for applications in warehouse forklifts. Further, NREL is finding that distributed electrolyzers can simultaneously produce hydrogen and improve voltage conditions, which can add much-needed stability to a grid that is accommodating more energy from variable resources.

Those examples that co-optimize mobility with the grid, using diverse technologies, are encouraging NREL and its partners to pursue a new scale of systems integration. Several forward-thinking projects are reimagining urban mobility as a mix of energy solutions that integrate the relative strengths of transportation technologies, which complement each other to fill important gaps in grid reliability.


The Future of Urban Mobility
What will electrified transportation look like at high penetrations? A few NREL projects offer some perspective. Among the most experimental, NREL is helping the city of Denver develop a smart community, integrated with electrified mobility and featuring automated charging and vehicle dispatch.

On another path to advanced mobility, Los Angeles has embarked on a plan to modernize its electricity system infrastructure, reflecting California EV grid stability goals—aiming for a 100% renewable energy supply by 2045, along with aggressive electrification targets for buildings and vehicles. Through the Los Angeles 100% Renewable Energy Study, the city is currently working with NREL to assess the full-scale impacts of the transition in a detailed analysis that integrates diverse capabilities across the laboratory.

The transition would include the Port of Long Beach, the busiest container port in the United States.

At the port, NREL is applying the same sort of scenario forecasting and controls evaluation as other projects, in order to find the optimal mix of technologies that can be integrated for both grid stability and a reliable quality of service: a mix of hydrogen fuel-cell and battery EVs, battery storage systems, on-site renewable generation, and extreme coordination among everything.

"Hydrogen at ports makes sense for the same reason as trucks: Marine applications have big power and energy demands," Wipke said. "But it's really the synergies between diverse technologies—the existing infrastructure for EVs and the flexibility of bulk battery systems—that will truly make the transition to high renewable energy possible."

Like the Port of Long Beach, transportation hubs across the nation are adapting to a complex environment of new mobility solutions. Airports and public transit stations involve the movement of passengers, goods, and services at a volume exceeding anywhere else. With the transition to digitally connected electric mobility changing how airports plan for the future, NREL projects such as Athena are using the power of high-performance computing to demonstrate how these hubs can maximize the value of passenger and freight mobility per unit of energy, time, and/or cost.

The growth in complexity for transportation hubs has just begun, however. Looking ahead, fleets of ride-sharing EVs, automated vehicles, and automated ride-sharing EV fleets could present the largest effort to manage mobility yet.


A Self-Driving Power Grid
To understand the full impact of future mobility-service providers, NREL developed the HIVE (Highly Integrated Vehicle Ecosystem) simulation framework. HIVE combines factors related to serving mobility needs and grid operations—such as a customer's willingness to carpool or delay travel, and potentially time-variable costs of recharging—and simulates the outcome in an integrated environment.

"Our question is, how do you optimize the management of a fleet whose primary purpose is to provide rides and improve that fleet's dispatch and charging?" said Eric Wood, an NREL vehicle systems engineer.

HIVE was developed as part of NREL's Autonomous Energy Systems research to optimize the control of automated vehicle fleets. That is, optimized routing and dispatch of automated electric vehicles.

The project imagines how price signals could influence dispatch algorithms. Consider one customer booking a commute through a ride-hailing app. Out of the fleet of vehicles nearby—variously charged and continually changing locations—which one should pick up the customer?

Now consider the movements of thousands of passengers in a city and thousands of vehicles providing transportation services. Among the number of agents, the moment-to-moment change in energy supply and demand, and the broad diversity in vendor technologies, "we're playing with a lot of parameters," Wood said.

But cutting through all the complexity, and in the midst of massive simulations, the end goal for vehicle-to-grid integration is consistent:

"The motivation for our work is that there are forecasts for significant load on the grid from the electrification of transportation," Wood said. "We want to ensure that this load is safely and effectively integrated, while meeting the expectations and needs of passengers."

The Port of Long Beach uses a mix of hydrogen fuel-cell and battery EVs, battery storage systems, on-site renewable generation, and extreme coordination among everything. Credit: National Renewable Energy Laboratory
True Replacement without Caveats

Electric vehicles are not necessarily helpful to the grid, but they can be. As EVs become established in the transportation sector, NREL is studying how to even out any bumps that electrified mobility could cause on the grid and advance any benefits to commuters or industry.

"It all comes down to load flexibility," Meintz said. "We're trying to decide how to optimally dispatch vehicle charging to meet quality-of-service considerations, while also minimizing charging costs."

 

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