Hydro Ottawa acquires hydro plants in Ontario and New York

India spot electricity prices surged on Q3 demand, lifting power tariffs in the spot market as discoms scrambled for supply; Sembcorp SGPL boosted PLF and short-term PPA realizations, benefiting from INR per kWh peaks.

Key Points

India spot electricity prices hit Q3 records amid demand spikes, lifting tariffs and aiding Sembcorp SGPL via PLF gains.

✅ Record 10.6 cents/kWh average; 15-minute peak 20.7 cents/kWh

✅ SGPL shifted output to short-term PPA at 7.3 cents/kWh

✅ PLF ramped above 90%, cutting core losses by 30-40%

Electricity prices in India, now the third-largest electricity producer globally, bolted to a record high of 10.6 cents/kWh (INR5.1/kWh) in Q3.

A jolt in Indian spot electricity prices could save Sembcorp Industries' Indian business from further losses, even though demand has occasionally slumped in recent years, UOB Kay Hian said.

The firm said spot electricity prices in India bolted to a record high of 10.6 cents/kWh (INR5.1/kWh) in Q3 and even hit a 15-minute peak of 20.7 cents/kWh (9.9/kWh). The spike was due to a power supply crunch on higher electricity demand from power distribution companies, alongside higher imported coal volumes as domestic supplies shrank.

As an effect, Sembcorp Industries' Sembcorp Gayatri Power Limited's (SGPL) losses of $26m in Q1 and $29m in Q2 could narrow down by as much as 30-40%.

On a net basis, SGPL will recognise a significantly higher electricity tariff in 3Q17. By tactically shutting down its Unit #3 for maintenance, Unit #4 effectively had its generation contracted out at the higher short-term PPA tariff of around 7.3 cents/kWh (Rs3.5/kWh).

SGPL also capitalised on the price spike in 3Q17 as it ramped up its plant load factor (PLF) to more than 90%.

“On the back of this, coupled with the effects of reduced finance costs, we expect SGPL’s 3Q17 quarterly core loss to shrink by 30-40% from previous quarters,” UOB Kay Hian said.

Whilst electricity prices have corrected to 7.1 cents/kWh (INR3.4/kWh), the firm said it could still remain elevated on structural factors, even as coal and electricity shortages ease nationwide.

Sembcorp Industries' India operations brought in a robust performance for Q3. PLF for Thermal Powertech Corporation India Limited (TPCIL) hit 91%, whilst it reached 73% for SGPL, echoing the broader trend of thermal PLF up across the sector.

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Ontario Clean Energy Expansion signals IESO-backed renewables, energy storage, and low-CO2 power to meet EV-driven demand, offset Pickering nuclear retirement, and balance interim gas-fired generation while advancing grid reliability, decarbonization, and net-zero targets.

Key Points

Ontario Clean Energy Expansion plans to grow renewables and storage, manage short-term gas, and meet rising demand.

✅ IESO long-term procurements for renewables and storage

✅ Interim reliance on gas to replace Pickering capacity

✅ Targets align with net-zero grid reliability goals

After cancelling hundreds of renewable power projects four years ago, the Doug Ford government appears set to expand clean energy to meet a looming electricity shortfall across the province.

Recent announcements from Ontario Energy Minister Todd Smith and the province’s electric grid management agency suggest the province plans to expand low-CO2 electricity with new wind and solar plans in the long-term, even as it ramps up gas-fired power over the next five years.

The moves are in response to an impending electricity shortfall as climate-conscious drivers switch to electric vehicles, farmers replace field crops with greenhouses and companies like ArcelorMittal Dofasco in Hamilton switch from CO2-heavy manufacturing to electricity-based production. Forecasters predict Canada will need to double its power supply by 2050.

While Ontario has a relatively low-CO2 power system, the province’s electricity supply will be reduced in 2025 when Ontario Power Generation closes the 50-year-old Pickering nuclear station, now near the end of its operating life. This will remove 3,100 megawatts of low-CO2 generation, about eight per cent of the province’s 40,000-megawatt total.

The impending closure has created a difficult situation for the Independent Electricity System Operator (IESO), the provincial agency managing Ontario’s grid. Last year, it forecasted it would need to sharply increase CO2-polluting natural gas-fired power to avoid widespread blackouts.

This would mean drivers switching to electric vehicles or companies like Dofasco cutting CO2 through electrification would end up causing higher power system emissions.

It would also fly in the face of the federal government’s ambition to create a net-zero national electricity system by 2035, a critical part of Canada’s pledge to reduce CO2 emissions to zero by 2050.

Yet the Ford government has appeared reluctant to expand clean energy. In the 2018 election, clean electricity was a key issue as it appealed to anti-turbine voters in rural Ontario and cancelled more than 700 renewable energy contracts shortly after taking office, taking 400 megawatts out of the system.

But there are signs the government is having a change of heart. IESO recently released a list of 55 companies approved to submit bids for 3,500 megawatts of long-term electricity contracts starting between 2025 and 2027, and the energy minister has outlined a plan to address growing energy needs as well.

The companies include a variety of potential producers, ranging from Canadian and global renewable companies to local utilities and small startups. Most are renewable power or energy storage companies specializing in low- or zero-emission power. IESO plans additional long-term bid offerings in the future.

This doesn’t mean gas generation will be turned off. IESO will contract yearly production from existing gas plants until 2028 (the annual contract in 2023 will be for about 2,000 megawatts). As well, IESO has issued contracts to four gas-fired producers, a small wind company and a storage company to begin production of about 700 megawatts to boost gas plant output starting between 2024 and 2026.

While this represents an expansion of existing gas-fired generation, Smith has asked IESO to report on a gas moratorium, saying he doesn’t believe new gas plants will be needed over the long term.

The NDP and Greens criticized the government for relying on gas in the near term. But clean energy advocates greeted the long-term plans positively.

The IESO process “will contribute to a clean, reliable and affordable grid,” said the Canadian Renewable Energy Association.

Rachel Doran, director of policy and strategy at Clean Energy Canada, said in an email the potential gas generation moratorium “is an encouraging step forward,” although she criticized the “unfortunate decision to replace near-term nuclear power capacity with climate-change-causing natural gas.”

There will have to be a massive clean energy expansion to green Ontario’s grid well beyond what has been announced in recent days for Ontario to meet its future energy needs (think a doubling of Ontario’s current 40,000-megawatt capacity by 2050).

But these first steps hold promise that Ontario is at least starting on the path to that goal, rather than scrambling to keep the lights on with CO2-polluting natural gas.

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Bitcoin Energy Consumption drives debate on blockchain mining, proof-of-work, carbon footprint, and emissions, with CCAF estimates in terawatt hours highlighting electricity demand, fossil fuel reliance, and sustainability concerns for data centers and cryptocurrency networks.

Key Points

Electricity used by Bitcoin proof-of-work mining, often fossil-fueled, estimated by CCAF in terawatt hours.

✅ CCAF: 40-445 TWh, central estimate ~130 TWh

✅ ~66% of mining electricity sourced from fossil fuels

✅ Proof-of-work increases hash rate, energy, and emissions

The University of Cambridge Centre for Alternative Finance (CCAF) studies the burgeoning business of cryptocurrencies.

It calculates that Bitcoin's total energy consumption is somewhere between 40 and 445 annualised terawatt hours (TWh), with a central estimate of about 130 terawatt hours.

The UK's electricity consumption is a little over 300 TWh a year, while Argentina uses around the same amount of power as the CCAF's best guess for Bitcoin, as countries like New Zealand's electricity future are debated to balance demand.

And the electricity the Bitcoin miners use overwhelmingly comes from polluting sources, with the U.S. grid not 100% renewable underscoring broader energy mix challenges worldwide.

The CCAF team surveys the people who manage the Bitcoin network around the world on their energy use and found that about two-thirds of it is from fossil fuels, and some regions are weighing curbs like Russia's proposed mining ban amid electricity deficits.

Huge computing power - and therefore energy use - is built into the way the blockchain technology that underpins the cryptocurrency has been designed.

It relies on a vast decentralised network of computers.

These are the so-called Bitcoin "miners" who enable new Bitcoins to be created, but also independently verify and record every transaction made in the currency.

In fact, the Bitcoins are the reward miners get for maintaining this record accurately.

It works like a lottery that runs every 10 minutes, explains Gina Pieters, an economics professor at the University of Chicago and a research fellow with the CCAF team.

Data processing centres around the world, including hotspots such as Iceland's mining strain, race to compile and submit this record of transactions in a way that is acceptable to the system.

They also have to guess a random number.

The first to submit the record and the correct number wins the prize - this becomes the next block in the blockchain.

Estimates for bitcoin's electricity consumption
At the moment, they are rewarded with six-and-a-quarter Bitcoins, valued at about $50,000 each.

As soon as one lottery is over, a new number is generated, and the whole process starts again.

The higher the price, says Prof Pieters, the more miners want to get into the game, and utilities like BC Hydro suspending new crypto connections highlight grid pressures.

"They want to get that revenue," she tells me, "and that's what's going to encourage them to introduce more and more powerful machines in order to guess this random number, and therefore you will see an increase in energy consumption," she says.

And there is another factor that drives Bitcoin's increasing energy consumption.

The software ensures it always takes 10 minutes for the puzzle to be solved, so if the number of miners is increasing, the puzzle gets harder and the more computing power needs to be thrown at it.

Bitcoin is therefore actually designed to encourage increased computing effort.

The idea is that the more computers that compete to maintain the blockchain, the safer it becomes, because anyone who might want to try and undermine the currency must control and operate at least as much computing power as the rest of the miners put together.

What this means is that, as Bitcoin gets more valuable, the computing effort expended on creating and maintaining it - and therefore the energy consumed - inevitably increases.

We can track how much effort miners are making to create the currency.

They are currently reckoned to be making 160 quintillion calculations every second - that's 160,000,000,000,000,000,000, in case you were wondering.

And this vast computational effort is the cryptocurrency's Achilles heel, says Alex de Vries, the founder of the Digiconomist website and an expert on Bitcoin.

All the millions of trillions of calculations it takes to keep the system running aren't really doing any useful work.

"They're computations that serve no other purpose," says de Vries, "they're just immediately discarded again. Right now we're using a whole lot of energy to produce those calculations, but also the majority of that is sourced from fossil energy, and clean energy's 'dirty secret' complicates substitution."

The vast effort it requires also makes Bitcoin inherently difficult to scale, he argues.

"If Bitcoin were to be adopted as a global reserve currency," he speculates, "the Bitcoin price will probably be in the millions, and those miners will have more money than the entire [US] Federal budget to spend on electricity."

"We'd have to double our global energy production," he says with a laugh, even as some argue cheap abundant electricity is getting closer to reality today. "For Bitcoin."

He says it also limits the number of transactions the system can process to about five per second.

This doesn't make for a useful currency, he argues.

Rising price of bitcoin graphic
And that view is echoed by many eminent figures in finance and economics.

The two essential features of a successful currency are that it is an effective form of exchange and a stable store of value, says Ken Rogoff, a professor of economics at Harvard University in Cambridge, Massachusetts, and a former chief economist at the International Monetary Fund (IMF).

He says Bitcoin is neither.

"The fact is, it's not really used much in the legal economy now. Yes, one rich person sells it to another, but that's not a final use. And without that it really doesn't have a long-term future."

What he is saying is that Bitcoin exists almost exclusively as a vehicle for speculation.

So, I want to know: is the bubble about to burst?

"That's my guess," says Prof Rogoff and pauses.

"But I really couldn't tell you when."

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Global Energy Investment Decline risks future oil and electricity supply, says the IEA, as spending on upstream, coal plants, and grids falls while renewables, storage, and flexible generation lag in the energy transition.

Key Points

Multi-year cuts to oil, power, and grid spending that increase risks of future supply shortages and market tightness.

✅ IEA warns underinvestment risks oil supply squeeze

✅ China and India slow coal plant additions; renewables rise

✅ Batteries aid flexibility but cannot replace seasonal storage

An almost 20 per cent fall in global energy investment over the past three years could lead to oil and electricity shortages, as surging electricity demand persists, and there are concerns about whether current business models will encourage sufficient levels of spending in the future, according a new report.

The International Energy Agency’s second annual IEA benchmark analysis of energy investment found that while the world spent $US1.7 trillion ($2.2 trillion) on fossil-fuel exploration, new power plants and upgrades to electricity grids last year, with electricity investment surpassing oil and gas even as global energy investment was down 12 per cent from a year earlier and 17 per cent lower than 2014.

While the IEA said continued oversupply of oil and electricity globally would prevent any imminent shock, falling investment “points to a risk of market tightness and undercapacity at some point down the line’’.

The low crude oil price drove a 44 per cent drop in oil and gas investment between 2014 and 2016. It fell 26 per cent last year. It was due to falls in upstream activity and a slowdown in the sanctioning of conventional oilfields to the lowest level in more than 70 years.

“Given the depletion of existing fields, the pace of investment in conventional fields will need to rise to avoid a supply squeeze, even on optimistic assumptions about technology and the impact of climate policies on oil demand,’’ the IEA warned in its report released yesterday evening. “The energy transition has barely begun in several key sectors, such as transport and industry, which will continue to rely heavily on oil, gas and coal for the foreseeable future.’’

The fall in global energy spending also reflected declining investment in power generation, particularly from coal plants.

While 21 per cent of global ­energy investment was made by China in 2016, the world’s fastest growing economy had a 25 per cent decline in the commissioning of new coal-fired power plants, due largely to air pollution issues and investment in renewables.

Investment in new coal-fired plants also fell in India.

“India and China have slammed the brakes on coal-fired generation. That is the big change we have seen globally,’’ said ­Bruce Mountain a director at CME Australia.

“What it confirms is the ­pressures and the changes we are seeing in Australia, the restructuring of our energy supply, is just part of a global trend. We are facing the pressures more sharply in Australia because our power prices are very high. But that same shift in energy source in Australia are being mirrored internationally.’’ The IEA — a Paris-based adviser to the OECD on energy policy — also highlighted Australia’s reduced power reserves in its report and called for regulatory change to encourage greater use of renewables.

“Australia has one of the highest proportions of households with PV systems on their roof of any country in the world, and its ­electricity use in its National ­Electricity Market is spread out over a huge and weakly connected network,’’ the report said.

“It appears that a series of accompanying investments and regulatory changes are needed, including a plan to avoid supply threats, to use Australia’s abundant wind and solar potential: changing system operation methods and reliability procedures as well as investment into network capacity, flexible generation and storage.’’ The report found that in Australia there had been an increase in grid-scale installations mostly associated with large-scale solar PV plants.

Last month the Turnbull ­government revealed it was prepared to back the construction of new coal-fired power stations to prevent further shortfalls in electricity supplies, while the PM ruled out taxpayer-funded plants and declared it was open to using “clean coal” technology to replace existing generators.

He also pledged “immediate” ­action to boost the supply of gas by forcing exporters to divert ­production into the domestic ­market.

Since then technology billionaire Elon Musk has promised to solve South Australia’s energy ­issues by building the world’s largest lithium-ion battery in the state.

But the IEA report said batteries were unlikely to become a “one size fits all” single solution to ­electricity security and flexibility provision.

“While batteries are well-suited to frequency control and shifting hourly load, they cannot provide seasonal storage or substitute the full range of technical services that conventional plants provide to stabilise the system,’’ the report said.

“In the absence of a major technological breakthrough, it is most likely that batteries will complement rather than substitute ­conventional means of providing system flexibility. While conventional plants continue to provide essential system services, their business model is increasingly being called into question in ­unbundled systems.’’

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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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Drax Biomass Conversion accelerates renewable energy by replacing coal with wood pellets, sustainable forestry feedstock, and piloting carbon capture and storage, supporting the UK grid, emissions cuts, and a net-zero pathway.

Key Points

Drax Biomass Conversion is Drax's shift from coal to biomass with CCS pilots to cut emissions and aid UK's net-zero.

✅ Coal units converted to biomass wood pellets

✅ Sourced from sustainable forestry residues

✅ CCS pilots target lifecycle emissions cuts

A power station that used to be the biggest polluter in western Europe has made a near-complete switch to renewable energy, mirroring broader shifts as Denmark's largest energy company plans to end coal by 2023.

The Drax Power Station in Yorkshire, England, used to spew out millions of tons of carbon dioxide a year by burning coal. But over the past eight years, it has overhauled its operations by converting four of its six coal-fired units to biomass. The plant's owners say it now generates 15% of the country's renewable power, as Britain recently went a full week without coal power for the first time.

The change means that just 6% of the utility's power now comes from coal, as the wider UK coal share hits record lows across the national electricity system. The ultimate goal is to stop using coal altogether.

"We've probably reduced our emissions more than any other utility in the world by transforming the way we generate power," Will Gardner, CEO of the Drax Group, told CNN Business.

Subsidies have helped finance the switch to biomass, which consists of plant and agricultural matter and is viewed as a promising substitute for coal, and utilities such as Nova Scotia Power are also increasing biomass use. Last year, Drax received £789 million ($1 billion) in government support.

Is biomass good for the environment?

While scientists disagree over the extent to which biomass as a fuel is environmentally friendly, and some environmentalists urge reducing biomass use amid concerns about lifecycle emissions, Drax highlights that its supplies come from from sustainably managed and growing forests.

Most of the biomass used by Drax consists of low-grade wood, sawmill residue and trees with little commercial value from the United States. The material is compressed into sawdust pellets.

Gardner says that by purchasing bits of wood not used for construction or furniture, Drax makes it more financially viable for forests to be replanted. And planting new trees helps offset biomass emissions.

Forests "absorb carbon as they're growing, once they reach maturity, they stop absorbing carbon," said Raphael Slade, a senior research fellow at Imperial College London.

But John Sterman, a professor at MIT's Sloan School of Management, says that in the short term burning wood pellets adds more carbon to the atmosphere than burning coal.

That carbon can be absorbed by new trees, but Sterman says the process can take decades.

"If you're looking at five years, [biomass is] not very good ... If you're looking at a century-long time scale, which is the sort of time scale that many foresters plan, then [biomass] can be a lot more beneficial," says Slade.

Carbon capture

Enter carbon capture and storage technology, which seeks to prevent CO2 emissions from entering the atmosphere and has been touted as a possible solution to the climate crisis.

Drax, for example, is developing a system to capture the carbon it produces from burning biomass. But that could be 10 years away.

The Coal King is racing to avoid bankruptcy

The power station is currently capturing just 1 metric ton of CO2 emissions per day. Gardner says it hopes to increase this to 10,000 metric tons per day by the mid to late 2020s.

"The technology works but scaling it up and rolling it out, and financing it, are going to be significant challenges," says Slade.

The Intergovernmental Panel on Climate Change shares this view. The group said in a 2018 report that while the potential for CO2 capture and storage was considerable, its importance in the fight against climate change would depend on financial incentives for deployment, and whether the risks of storage could be successfully managed. These include a potential CO2 pipeline break.

In the United Kingdom, the government believes that carbon capture and storage will be crucial to reaching its goal of achieving net-zero greenhouse gas emissions by 2050, even as low-carbon generation stalled in 2019 according to industry analysis.

It has committed to consulting on a market-based industrial carbon capture framework and in June awarded £26 million ($33 million) in funding for nine carbon capture, usage and storage projects, amid record coal-free generation on the British grid.

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