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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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Covid-19 Energy Transition and Machine Learning reshape climate change policy, electricity planning, and grid operations, from demand forecasting and decarbonization strategies in Europe to scalable electrification modeling and renewable integration across Africa.

Key Points

How the pandemic reshapes energy policy and how ML improves planning, demand forecasts, and grid reliability in Africa.

✅ Pandemic-driven demand shifts strain grid operations and markets

✅ Policy momentum risks rollback; favor future-oriented decarbonization

✅ ML boosts demand prediction, electrification, and grid reliability in Africa

The impact of Covid-19 on the energy system was discussed in an online climate change workshop that also considered how machine learning can help electricity planning in Africa.

This year’s International Conference on Learning Representations event included a workshop held by the Climate Change AI group of academics and artificial intelligence industry representatives, which considered how machine learning can help tackle climate change and highlighted advances by European electricity prediction specialists working in this field.

Bjarne Steffen, senior researcher at the energy politics group at ETH Zürich, shared his insights at the workshop on how Covid-19 and the accompanying economic crisis are affecting recently introduced ‘green’ policies. “The crisis hit at a time when energy policies were experiencing increasing momentum towards climate action, especially in Europe, and in proposals to invest in smarter electricity infrastructure for long-term resilience,” said Steffen, who added the coronavirus pandemic has cast into doubt the implementation of such progressive policies.

The academic said there was a risk of overreacting to the public health crisis, as far as progress towards climate change goals was concerned.

Lobbying

“Many interest groups from carbon-intensive industries are pushing to remove the emissions trading system and other green policies,” said Steffen. “In cases where those policies are having a serious impact on carbon-emitting industries, governments should offer temporary waivers during this temporary crisis, instead of overhauling the regulatory structure.”

However, the ETH Zürich researcher said any temptation to impose environmental conditions to bail-outs for carbon-intensive industries should be resisted. “While it is tempting to push a green agenda in the relief packages, tying short-term environmental conditions to bail-outs is impractical, given the uncertainty in how long this crisis will last,” he said. “It is better to include provisions that will give more control over future decisions to decarbonize industries, such as the government taking equity shares in companies.”

Steffen shared with pv magazine readers an article published in Joule which can be accessed here, and which articulates his arguments about how Covid-19 could affect the energy transition.

Covid-19 in the U.K.

The electricity system in the U.K. is also being affected by Covid-19, even as the U.S. electric grid grapples with climate risks, according to Jack Kelly, founder of London-based, not-for-profit, greenhouse gas emission reduction research laboratory Open Climate Fix.

“The crisis has reduced overall electricity use in the U.K.,” said Kelly. “Residential use has increased but this has not offset reductions in commercial and industrial loads.”

Steve Wallace, a power system manager at British electricity system operator National Grid ESO recently told U.K. broadcaster the BBC electricity demand has fallen 15-20% across the U.K. The National Grid ESO blog has stated the fall-off makes managing grid functions such as voltage regulation more challenging.

Open Climate Fix’s Kelly noted even events such as a nationally-coordinated round of applause for key workers was followed by a dramatic surge in demand, stating: “On April 16, the National Grid saw a nearly 1 GW spike in electricity demand over 10 minutes after everyone finished clapping for healthcare workers and went about the rest of their evenings.”

Climate Change AI workshop panelists also discussed the impact machine learning could have on improving electricity planning in Africa. The Electricity Growth and Use in Developing Economies (e-Guide) initiative funded by fossil fuel philanthropic organization the Rockefeller Foundation aims to use data to improve the planning and operation of electricity systems in developing countries.

E-Guide members Nathan Williams, an assistant professor at the Rochester Institute of Technology (RIT) in New York state, and Simone Fobi, a PhD student at Columbia University in NYC, spoke about their work at the Climate Change AI workshop, which closed on Thursday. Williams emphasized the importance of demand prediction, saying: “Uncertainty around current and future electricity consumption leads to inefficient planning. The weak link for energy planning tools is the poor quality of demand data.”

Fobi said: “We are trying to use machine learning to make use of lower-quality data and still be able to make strong predictions.”

The market maturity of individual solar home systems and PV mini-grids in Africa mean more complex electrification plan modeling is required, similar to integrating AI data centers into Canada's grids at scale.

Modeling

“When we are doing [electricity] access planning, we are trying to figure out where the demand will be and how much demand will exist so we can propose the right technology,” added Fobi. “This makes demand estimation crucial to efficient planning.”

Unlike many traditional modeling approaches, machine learning is scalable and transferable. Rochester’s Williams has been using data from nations such as Kenya, which are more advanced in their electrification efforts, to train machine learning models to make predictions to guide electrification efforts in countries which are not as far down the track.

Williams also discussed work being undertaken by e-Guide members at the Colorado School of Mines, which uses nighttime satellite imagery and machine learning to assess the reliability of grid infrastructure in India, where new algorithms to prevent ransomware-induced blackouts are also advancing.

Rural power

Another e-Guide project, led by Jay Taneja at the University of Massachusetts, Amherst – and co-funded by the Energy and Economic Growth program on development spending based at Berkeley – uses satellite imagery to identify productive uses of electricity in rural areas by detecting pollution signals from diesel irrigation pumps.

Though good quality data is often not readily available for Africa, Williams added, it does exist.

“We have spent years developing trusting relationships with utilities,” said the RIT academic. “Once our partners realize the value proposition we can offer, they are enthusiastic about sharing their data … We can’t do machine learning without high-quality data and this requires that organizations can effectively collect, organize, store and work with data. Data can transform the electricity sector, as shown by Canadian projects to use AI for energy savings, but capacity building is crucial.”

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India Renewable Energy Surge 2024 signals coal's decline as solar and wind capacity soar, aided by policy incentives, grid upgrades, energy storage, and falling costs, accelerating decarbonization and clean power growth.

Key Points

Q1 2024 saw renewables outpace coal in new capacity, led by cheaper solar, wind, policy support, and storage.

✅ 71.5% of new Q1 capacity came from renewables

✅ Solar and wind expand on falling costs and faster permitting

✅ Grid integration needs storage, skills, and just transition

In a landmark shift for the world's second-most populous nation, coal has finally been dethroned as the king of India's energy supply. The first quarter of 2024 saw a historic surge in renewable energy capacity, particularly on-grid solar development across states, pushing its share of power generation past 71.5%. This remarkable feat marks a turning point in India's journey towards a cleaner and more sustainable energy future.

For decades, coal has been the backbone of India's power sector, fueling rapid economic growth but also leading to concerning levels of air pollution. However, a confluence of factors has driven this dramatic shift, even as coal generation surges create short-term fluctuations in the mix. Firstly, the cost of solar and wind power has plummeted in recent years, making them increasingly competitive with coal. Secondly, the Indian government has set ambitious renewable energy targets, aiming for 50% of cumulative power generation capacity from non-fossil fuel sources by 2030. Thirdly, growing public awareness about the environmental impact of coal has spurred a demand for cleaner alternatives.

This surge in renewables is not just about replacing coal. The first quarter of 2024 witnessed a record-breaking addition of 13,669 megawatts (MW) of power generation capacity, with renewables accounting for a staggering 71.5% of that figure, aligning with 30% global renewable electricity milestones seen worldwide. This rapid expansion is driven by factors like falling equipment costs, streamlined permitting processes, and attractive government incentives. Solar and wind energy are leading the charge, and in other major markets renewables are projected to reach one-fourth of U.S. generation in the near term, with large-scale solar farms and wind turbine installations dotting the Indian landscape.

The transition away from coal presents both opportunities and challenges. On the positive side, cleaner air will lead to significant health benefits for millions of Indians. Additionally, India can establish itself as a global leader in the renewable energy sector, attracting investments and creating new jobs, echoing how China's solar PV expansion reshaped markets in the previous decade. However, challenges remain. Integrating such a large amount of variable renewable energy sources like solar and wind into the grid requires robust energy storage solutions. Furthermore, millions of jobs in the coal sector need to be transitioned to new opportunities in the green economy.

Despite these challenges, India's move towards renewables is a significant development with global implications, as U.S. renewable electricity surpassed coal in 2022, underscoring broader momentum. It demonstrates the growing viability of clean energy solutions and paves the way for other developing nations to follow suit. India's success story can inspire a global shift towards a more sustainable energy future, one powered by the sun, wind, and other renewable resources.

Looking ahead, continued government support, technological advancements, and innovative financing mechanisms will be crucial for sustaining India's renewable energy momentum. The future of India's energy sector is undoubtedly bright, fueled by the clean and abundant power of the sun and the wind, as wind and solar surpassed coal in the U.S. in recent comparisons. The world will be watching closely to see if India can successfully navigate this energy transition, setting an example for other nations struggling to balance development with environmental responsibility.

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AI Load Forecasting for Utilities leverages machine learning, smart meters, and predictive analytics to balance energy demand during COVID-19 disruptions, optimize grid reliability, support demand response, and stabilize rates for residential and commercial customers.

Key Points

AI predicts utility demand with ML and smart meters to improve reliability and reduce costs.

✅ Adapts to rapid demand shifts with accurate short term forecasts

✅ Optimizes demand response and distributed energy resources

✅ Reduces outages risk while lowering procurement and operating costs

The spread of the novel coronavirus that causes COVID-19 has prompted state and local governments around the U.S. to institute shelter-in-place orders and business closures. As millions suddenly find themselves confined to their homes, the shift has strained not only internet service providers, streaming platforms, and online retailers, but the utilities supplying power to the nation’s electrical grid, which face longer, more frequent outages as well.

U.S. electricity use on March 27, 2020 was 3% lower than it was on March 27, 2019, a loss of about three years of sales growth. Peter Fox-Penner, director of the Boston University Institute for Sustainable Energy, asserted in a recent op-ed that utility revenues will suffer because providers are halting shutoffs and deferring rate increases. Moreover, according to research firm Wood Mackenzie, the rise in household electricity demand won’t offset reduced business electricity demand, mainly because residential demand makes up just 40% of the total demand across North America.

Some utilities are employing AI and machine learning for the energy transition to address the windfalls and fluctuations in energy usage resulting from COVID-19. Precise load forecasting could ensure that operations aren’t interrupted in the coming months, thereby preventing blackouts and brownouts. And they might also bolster the efficiency of utilities’ internal processes, leading to reduced prices and improved service long after the pandemic ends.

Innowatts
Innowatts, a startup developing an automated toolkit for energy monitoring and management, counts several major U.S. utility companies among its customers, including Portland General Electric, Gexa Energy, Avangrid, Arizona Public Service Electric, WGL, and Mega Energy. Its eUtility platform ingests data from over 34 million smart energy meters across 21 million customers in more than 13 regional energy markets, while its machine learning algorithms analyze the data to forecast short- and long-term loads, variances, weather sensitivity, and more.

Beyond these table-stakes predictions, Innowatts helps evaluate the effects of different rate configurations by mapping utilities’ rate structures against disaggregated cost models. It also produces cost curves for each customer that reveal the margin impacts on the wider business, and it validates the yield of products and cost of customer acquisition with models that learn the relationships between marketing efforts and customer behaviors (like real-time load).

Innowwatts told VentureBeat that it observed “dramatic” shifts in energy usage between the first and fourth weeks of March. In the Northeast, “non-essential” retailers like salons, clothing shops, and dry cleaners were using only 35% as much energy toward the end of the month (after shelter-in-place orders were enacted) versus the beginning of the month, while restaurants (excepting pizza chains) were using only 28%. In Texas, conversely, storage facilities were using 142% as much energy in the fourth week compared with the first.

Innowatts says that throughout these usage surges and declines, its clients took advantage of AI-based load forecasting to learn from short-term shocks and make timely adjustments. Within three days of shelter-in-place orders, the company said, its forecasting models were able to learn new consumption patterns and produce accurate forecasts, accounting for real-time changes.

Innowatts CEO Sid Sachdeva believes that if utility companies had not leveraged machine learning models, demand forecasts in mid-March would have seen variances of 10-20%, significantly impacting operations.

“During these turbulent times, AI-based load forecasting gives energy providers the ability to … develop informed, data-driven strategies for future success,” Sachdeva told VentureBeat. “With utilities and energy retailers seeing a once-in-a-lifetime 30%-plus drop in commercial energy consumption, accurate forecasting has never been more important. Without AI tools, utilities would see their forecasts swing wildly, leading to inaccuracies of 20% or more, placing an enormous strain on their operations and ultimately driving up costs for businesses and consumers.”

Autogrid
Autogrid works with over 50 customers in 10 countries — including Energy Australia, Florida Power & Light, and Southern California Edison — to deliver AI-informed power usage insights. Its platform makes 10 million predictions every 10 minutes and optimizes over 50 megawatts of power, which is enough to supply the average suburb.

Flex, the company’s flagship product, predicts and controls tens of thousands of energy resources from millions of customers by ingesting, storing, and managing petabytes of data from trillions of endpoints. Using a combination of data science, machine learning, and network optimization algorithms, Flex models both physics and customer behavior, automatically anticipating and adjusting for supply and demand patterns through virtual power plants that coordinate distributed assets.

Autogrid also offers a fully managed solution for integrating and utilizing end-customer installations of grid batteries and microgrids. Like Flex, it automatically aggregates, forecasts, and optimizes capacity from assets at sub-stations and transformers, reacting to distribution management needs while providing capacity to avoid capital investments in system upgrades.

Autogrid CEO Dr. Amit Narayan told VentureBeat that the COVID-19 crisis has heavily shifted daily power distribution in California, where it’s having a “significant” downward impact on hourly prices in the energy market. He says that Autogrid has also heard from customers about transformer failures in some regions due to overloaded circuits, which he expects will become a problem in heavily residential and saturated load areas during the summer months (as utilities prepare for blackouts across the U.S. when air conditioning usage goes up).

“In California, [as you’ll recall], more than a million residents faced wildfire prevention-related outages in PG&E territory in 2019,” Narayan said, referring to the controversial planned outages orchestrated by Pacific Gas & Electric last summer. “The demand continues to be high in 2020 in spite of the COVID-19 crisis, as residents prepare to keep the lights on and brace for a similar situation this summer. If a 2019 repeat happens again, it will be even more devastating, given the health crisis and difficulty in buying groceries.”

AI making a difference
AI and machine learning isn’t a silver bullet for the power grid — even with predictive tools at their disposal, utilities are beholden to a tumultuous demand curve and to mounting climate risks across the grid. But providers say they see evidence the tools are already helping to prevent the worst of the pandemic’s effects — chiefly by enabling them to better adjust to shifted daily and weekly power load profiles.

“The societal impact [of the pandemic] will continue to be felt — people may continue working remotely instead of going into the office, they may alter their commute times to avoid rush hour crowds, or may look to alternative modes of transportation,” Schneider Electric chief innovation officer Emmanuel Lagarrigue told VentureBeat. “All of this will impact the daily load curve, and that is where AI and automation can help us with maintenance, performance, and diagnostics within our homes, buildings, and in the grid.”

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Alberta Lithium Brine can power EV batteries via direct lithium extraction, leveraging oilfield infrastructure and critical minerals policy to build a low-carbon supply chain with clean energy, lower emissions, and domestic manufacturing advantages.

Key Points

Alberta lithium brine is subsurface saline water rich in lithium, extracted via DLE to supply EV batteries.

✅ Uses direct lithium extraction from oilfield brines

✅ Leverages Alberta infrastructure and skilled workforce

✅ Supports EV battery supply chain with lower emissions

After a most difficult several months, Canadians are cautiously emerging from their COVID-19 isolation and confronting a struggling economy.
There’s a growing consensus that we need to build back better from COVID-19, and to position for the U.S. auto sector’s pivot to electric vehicles as supply chains evolve. Instead of shoring up the old economy as we did following the 2008 financial crisis, we need to make strategic investments today that will prepare Canada for tomorrow’s economy.

Tomorrow’s energy system will look very different from today’s — and that tomorrow is coming quickly. The assets of today’s energy economy can help build and launch the new industries required for a low-carbon future. And few opportunities are more intriguing than the growing lithium market.

The world needs lithium – and Alberta has plenty

It’s estimated that three billion tonnes of metals will be required to generate clean energy by 2050. One of those key metals – lithium, a light, highly conductive metal – is critical to the construction of battery electric vehicles (BEV). As global automobile manufacturers design hundreds of new BEVs, demand for lithium is expected to triple in the next five years alone, a trend sharpened by pandemic-related supply risks for automakers.

Most lithium today originates from either hard rock or salt flats in Australia and South America. Alberta’s oil fields hold abundant deposits of lithium in subsurface brine, but so far it’s been overlooked as industrial waste. With new processing technologies and growing concerns about the security of global supplies, this is set to change. In January, Canada and the U.S. finalized a Joint Action Plan on Critical Minerals to ensure supply security for critical minerals such as lithium and to promote supply chains closer to home, aligning with U.S. efforts to secure EV metals among allies worldwide.

This presents a major opportunity for Canada and Alberta. Lithium brine will be produced much like the oil that came before it. This lithium originates from many of the same reservoirs responsible for driving both Alberta’s economy and the broader transportation fuel sector for decades. The province now has extensive geological data and abundant infrastructure, including roads, power lines, rail and well sites. Most importantly, Alberta has a highly trained workforce. With very little retooling, the province could deliver significant volumes of newly strategic lithium.

Specialized technologies known as direct lithium extraction, or DLE, are being developed to unlock lithium-brine resources like those in Canada. In Alberta, E3 Metals* has formed a development partnership with U.S. lithium heavyweight Livent Corporation to advance and pilot its DLE technology. Prairie Lithium and LiEP Energy formed a joint venture to pilot lithium extraction in Saskatchewan. And Vancouver’s Standard Lithium is already piloting its own DLE process in southern Arkansas, where the geology is very similar to Alberta and Saskatchewan.

Heavy on quality, light on emissions

All lithium produced today has a carbon footprint, most of which can be tied back to energy-intensive processing. The purity of lithium is essential to battery safety and performance, but this comes at a cost when lithium is mined with trucks and shovels and then refined in coal-heavy China.

As automakers look to source more sustainable raw materials, battery recycling will complement responsible extraction, and Alberta’s experience with green technologies such as renewable electricity and carbon capture and storage can make it one of the world’s largest suppliers of zero-carbon lithium.

Beyond raw materials

The rewards would be considerable. E3 Metals’ Alberta project alone could generate annual revenues of US$1.8 billion by 2030, based on projected production and price forecasts. This would create thousands of direct jobs, as initiatives like a lithium-battery workforce initiative expand training, and many more indirectly.

To truly grow this industry, however, Canada needs to move beyond its comfort zone. Rather than produce lithium as yet another raw-commodity export, Canadians should be manufacturing end products, such as batteries, for the electrified economy, with recent EV assembly deals underscoring Canada’s momentum. With nickel and cobalt refining, graphite resources and abundant petrochemical infrastructure already in place, Canada must aim for a larger piece of the supply chain.

By 2030, the global battery market is expected to be worth $116 billion annually. The timing is right to invest in a strategic commodity and grow our manufacturing sector. This is why the Alberta-based Energy Futures Lab has called lithium one of the ‘Five big ideas for Alberta’s economic recovery.’  The assets of today’s energy economy can be used to help build and launch new resource industries like lithium, required for the low-carbon energy system of the future.

Industry needs support

To do this, however, governments will have to step up the way they did a generation ago. In 1975, the Alberta government kick-started oil-sands development by funding the Alberta Oil Sands Technology and Research Authority. AOSTRA developed a technology called SAGD (steam-assisted gravity drainage) that now accounts for 80% of Alberta’s in situ oil-sands production.

Canada’s lithium industry needs similar support. Despite the compelling long-term economics of lithium, some industry investors need help to balance the risks of pioneering such a new industry in Canada. The U.S. government has recognized a similar need, with the Department of Energy’s recent US$30 million earmarked for innovation in critical minerals processing and the California Energy Commission’s recent grants of US$7.8 million for geothermal-related lithium extraction.

To accelerate lithium development in Canada, this kind of leadership is needed. Government-assisted financing could help early-stage lithium-extraction technologies kick-start a whole new industry.

Aspiring lithium producers are also looking for government’s help to repurpose inactive oil and gas wells. The federal government has earmarked $1 billion for cleaning up inactive Alberta oil wells. Allocating a small percentage of that total for repurposing wells could help transform environmental liabilities into valuable clean-energy assets.

The North American lithium-battery supply chain will soon be looking for local sources of supply, and there is room for Canada-U.S. collaboration as companies turn to electric cars, strengthening regional resilience.
 

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Hungary's Russian Energy Dependence underscores EU tensions, as TurkStream gas flows, discounted imports, and pipeline reliance challenge sanctions, energy security, diversification, and decoupling goals amid Ukraine war pressures and bloc unity concerns.

Key Points

It is Hungary's reliance on Russian gas and oil via TurkStream, complicating EU sanctions and energy independence.

✅ 85% gas, 60% oil imports from Russia via TurkStream pipelines.

✅ Discounted contracts seldom cut bills; security cited by Budapest.

✅ EU decoupling targets hampered; sanctions leverage and unity erode.

Hungary's energy policies have positioned it as a notable outlier within the European Union, particularly in the context of the ongoing geopolitical tensions stemming from Russia's invasion of Ukraine. While the EU has been actively working to reduce its dependence on Russian energy sources through an EU $300 billion plan to dump Russian energy, Hungary has maintained and even strengthened its energy ties with Moscow, raising concerns about EU unity and the effectiveness of sanctions.

Strategic Energy Dependence

Hungary's energy infrastructure is heavily reliant on Russian supplies. Approximately 85% of Hungary's natural gas and more than 60% of its oil imports originate from Russia. This dependence is facilitated through pipelines such as TurkStream, which delivers Russian gas to Hungary via Turkey and the Balkans amid Europe's energy nightmare over price volatility and security. In 2025, Hungary's gas imports through TurkStream are projected to reach 8 billion cubic meters, a significant increase from previous years. These imports are often secured at discounted rates, although such savings may not always be passed on to Hungarian consumers.

Political and Economic Considerations

Prime Minister Viktor Orbán has been a vocal critic of EU sanctions against Russia and has consistently blocked EU initiatives aimed at providing military aid to Ukraine, even as Ukraine leans on power imports to keep the lights on. His government argues that Russia's military capabilities make it an unyielding adversary and that a ceasefire would only solidify its territorial gains. Orbán's stance has led to Hungary's isolation within the EU on matters related to the conflict in Ukraine.

Economically, Hungary's reliance on Russian energy has been justified by the government as a means to maintain low energy prices for consumers and ensure energy security. However, critics argue that this strategy undermines EU efforts to achieve energy independence and reduces the bloc's leverage over Russia amid a global energy war marked by price hikes and instability.

EU's Response and Challenges

The European Union has set ambitious goals to reduce its reliance on Russian energy, aiming to halt imports of Russian natural gas by the end of 2027 and prohibit new contracts starting in 2025 while exploring gas price cap strategies to contain market volatility. However, Hungary's continued imports of Russian energy complicate these efforts. The TurkStream pipeline, in particular, has become a focal point in discussions about the EU's energy strategy, as it enables ongoing Russian gas exports to Europe despite the bloc's broader decoupling initiatives.

Hungary's actions have raised concerns among other EU member states about the effectiveness of the sanctions regime and the potential for other countries to exploit similar loopholes. There are calls for stricter policies, including banning spot gas purchases and enforcing traceability of gas origins, and consideration of emergency measures to limit electricity prices to ensure genuine energy independence and reduce overreliance on external suppliers.

Hungary's steadfast energy relationship with Russia presents a significant challenge to the European Union's collective efforts to reduce dependence on Russian energy sources. While Hungary argues that its energy strategy is in the national interest, it risks undermining EU solidarity and the bloc's broader geopolitical objectives. As the EU continues to navigate its energy transition and response to the ongoing conflict in Ukraine, including energy ceasefire violations reported by both sides, Hungary's position will remain a critical point of contention within the union.

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