Energy expert urges efficiency over adding capacity

China Power Demand-Emissions Gap highlights surging grid demand outpacing renewables, with coal filling shortages despite record solar, wind, EV charging, and hydrogen growth, threatening decarbonization targets and net-zero pathways through 2030.

Key Points

China's power demand outpaces renewables, keeping coal dominant and raising emissions risk through the 2020s.

✅ Record solar and wind still lag fast grid demand growth

✅ Coal fills gaps as EV charging and hydrogen loads rise

✅ Forecasts diverge: CEC bullish vs IEA, BNEF conservative

Here’s a new obstacle that could prevent the world finally turning the corner on climate change: Imagine that over the coming decade a whole new economy the size of Russia were to pop up out of nowhere. With the world’s fourth-largest electricity sector and largest burden of power plant emissions after China, the U.S. and India, this new economy on its own would be enough to throw out efforts to halt global warming — especially if it keeps on growing through the 2030s.

That’s the risk inherent in China’s seemingly insatiable appetite for grid power, as surging electricity demand is putting systems under strain worldwide.

From the cracking pace of renewable build-out last year, you might think the country had broken the back of its carbon addiction. A record 55 gigawatts of solar power and 48 gigawatts of wind were connected — comparable to installing the generation capacity of Mexico in less than 12 months. This year will see an even faster pace, with 93 GW of solar and 50 GW of wind added, according to a report last week from the China Electricity Council, an industry association.

That progress could in theory see the country’s power sector emissions peak within months, rather than the late-2020s date the government has hinted at. Combined with a smaller quantity of hydro and nuclear, low-emissions sources will probably add about 310 terawatt-hours to zero-carbon generation this year. That 3.8% increase would be sufficient to power the U.K.

Countries that have reached China’s levels of per-capita electricity consumption (already on a par with most of Europe) typically see growth rates at less than half that level, even as global power demand has surged past pre-pandemic levels in recent years. Grid supply could grow at a faster pace than Brazil, Iran, South Korea or Thailand managed over the past decade without adding a ton of additional carbon to the atmosphere.

There’s a problem with that picture, however. If electricity demand grows at an even more headlong pace, there simply won’t be enough renewables to supply the grid. Fossil fuels, overwhelmingly coal, will fill the gap, a reminder of the iron law of climate dynamics in energy transitions.

Such an outcome looks distinctly possible. Electricity consumption in 2021 grew at an extraordinary rate of 10%, and will increase again by between 5% and 6% this year, according to the CEC. That suggests the country is on pace to match the CEC’s forecasts of bullish grid demand over the coming decade, with generation hitting 11,300 terawatt-hours in 2030. External analysts, such as the International Energy Agency and BloombergNEF, envisage a more modest growth to around 10,000 TWh. 

The difference between those two outlooks is vast — equivalent to all the electricity produced by Russia or Japan. If the CEC is right and the IEA and BloombergNEF are wrong, even the furious rate of renewable installations we’re seeing now won’t be enough to rein in China’s power-sector emissions.

Who’s correct? On one hand, it’s fair to say that power planners usually err on the side of overestimation. If your forecast for electricity demand is too high, state-owned generators will be less profitable than they otherwise would have been — but if it’s too low, you’ll see power cuts and shutdowns like China witnessed last autumn, with resulting power woes affecting supply chains beyond its borders.

On the other hand, the decarbonization of China’s economy itself should drive electricity demand well above what we’ve seen in the past, with some projections such as electricity meeting 60% of energy use by 2060 pointing to a profound shift. Some 3.3 million electric vehicles were sold in 2021 and BloombergNEF estimates a further 5.7 million will be bought in 2022. Every million EVs will likely add in the region of 2 TWh of load to the grid. Those sums quickly mounts up in a country where electric drivetrains are taking over a market that shifts more than 25 million new cars a year.

Decarbonizing industry, a key element on China’s road to zero emissions, could also change the picture. The IEA sees the country building 25 GW of electolysers to produce hydrogen by 2030, enough to consume some 200 TWh on their own if run close to full-time.

That’s still not enough to justify the scale of demand being forecast, though. China is already one of the least efficient countries in the world when it comes to translating energy into economic growth, and despite official pressure on the most wasteful, so called “dual-high” industries such as steel, oil refining, glass and cement, its targets for more thrifty energy usage remain pedestrian.

The countries that have decarbonized fastest are those, such as Germany, the U.K and the U.S., where Americans are using less electricity, that have seen power demand plateau or even decline, giving new renewable power a chance to swap out fossil-fired generators without chasing an ever-increasing burden on the grid. China’s inability to do this as its population peaks and energy consumption hits developed-country levels isn’t a sign of strength.

Instead, it’s a sign of a country that’s chronically unable to make the transition away from polluting heavy industry and toward the common prosperity and ecological civilization that its president keeps promising. Until China reins in that credit-fueled development model, the risks to its economy and the global climate will only increase.

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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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Ontario Clean Electricity Regulations accelerate renewable energy adoption, drive emissions reduction, and modernize the smart grid with energy storage, efficiency targets, and reliability upgrades to support decarbonization and a stable power system for Ontario.

Key Points

Standards to cut emissions, grow renewables, improve efficiency, and modernize the grid with storage and smart systems.

✅ Phases down fossil generation and invests in storage.

✅ Sets utility efficiency targets to curb demand growth.

✅ Upgrades to smart grid for reliability and resiliency.

Ontario has taken a significant step forward in its energy transition with the introduction of new clean electricity regulations. These regulations, complementing federal Clean Electricity Regulations, aim to reduce carbon emissions, promote sustainable energy sources, and ensure a cleaner, more reliable electricity grid for future generations. This article explores the motivations behind these regulations, the strategies being implemented, and the expected impacts on Ontario’s energy landscape.

The Need for Clean Electricity

Ontario, like many regions around the world, is grappling with the effects of climate change, including more frequent and severe weather events. In response, the province has set ambitious targets to reduce greenhouse gas emissions and increase the use of renewable energy sources, reflecting trends seen in Alberta’s path to clean electricity across Canada. The electricity sector plays a central role in this transition, as it is responsible for a significant portion of the province’s carbon footprint.

For years, Ontario has been moving away from coal as a source of electricity generation, and now, with the introduction of these new regulations, the province is taking a step further in decarbonizing its grid, including its largest competitive energy procurement to date. By setting clear goals and standards for clean electricity, the province hopes to meet its environmental targets while ensuring a stable and affordable energy supply for all Ontarians.

Key Aspects of the New Regulations

The regulations focus on encouraging the use of renewable energy sources such as wind, solar, hydroelectric, and geothermal power. One of the key elements of the plan is the gradual phase-out of fossil fuel-based energy sources. This shift is expected to be accompanied by greater investments in energy storage solutions, including grid batteries, to address the intermittency issues often associated with renewable energy sources.

Ontario’s new regulations also emphasize the importance of energy efficiency in reducing overall demand. As part of this initiative, utilities and energy providers will be required to meet strict energy-saving targets and participate in new electricity auctions designed to reduce costs, ensuring that both consumers and businesses are incentivized to use energy more efficiently.

In addition, the regulations promote technological innovation in the electricity sector. By supporting the development of smart grids, energy storage technologies, and advanced power management systems, Ontario is positioning itself to become a leader in the global energy transition.

Impact on the Economy and Jobs

One of the anticipated benefits of the clean electricity regulations is their positive impact on Ontario’s economy. As the province invests in renewable energy infrastructure and clean technologies, new job opportunities are expected to arise in industries such as manufacturing, construction, and research and development. These regulations also encourage innovation in energy services, which could lead to the growth of new companies and industries, while easing pressures on industrial ratepayers through complementary measures.

Furthermore, the transition to cleaner energy is expected to reduce the long-term costs associated with climate change. By investing in sustainable energy solutions now, Ontario will help mitigate the financial burdens of environmental damage and extreme weather events in the future.

Challenges and Concerns

While the new regulations have been widely praised for their environmental benefits, they are not without their challenges. One of the primary concerns is the potential cost to consumers, and some Ontario hydro policy critique has called for revisiting legacy pricing approaches to improve affordability. While renewable energy sources have become more affordable over the years, transitioning from fossil fuels could still result in higher electricity prices in the short term. Additionally, the implementation of new technologies, such as smart grids and energy storage, will require substantial upfront investment.

Moreover, the intermittency of renewable energy generation poses a challenge to grid stability. Ontario’s electricity grid must be able to adapt to fluctuations in energy supply as more variable renewable sources come online. This challenge will require significant upgrades to the grid infrastructure and the integration of storage solutions to ensure reliable energy delivery.

The Road Ahead

Ontario’s clean electricity regulations represent an important step in the province’s commitment to combating climate change and transitioning to a sustainable, low-carbon economy. While there are challenges to overcome, the benefits of cleaner air, reduced emissions, and a more resilient energy system will be felt for generations to come. As the province continues to innovate and lead in the energy sector, Ontario is positioning itself to thrive in the green economy of the future.

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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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White Pines Project cancellation highlights Ontario's wind farm contract dispute in Prince Edward County, involving IESO approvals, Progressive Conservatives' legislation, potential court action, and costs to ratepayers amid green energy policy shifts.

Key Points

The termination effort for Ontario's White Pines wind farm contract, triggering legal, legislative, and cost disputes.

✅ Contract with IESO dates to 2009; final approval during election

✅ PCs seek legislation insulating taxpayers from litigation

✅ Cancellation could exceed $100M; cost impact on ratepayers

Cancelling an eastern Ontario green energy project that has been under development for nearly a decade could cost more than $100 million, the president of the company said Wednesday, warning that the dispute could be headed to the courts.

Ontario's governing Progressive Conservatives said this week that one of their first priorities during the legislature's summer sitting would be to cancel the contract for the White Pines Project in Prince Edward County.

Ian MacRae, president of WPD Canada, the company behind the project, said he was stunned by the news given that the project is weeks away from completion.

"What our lawyers are telling us is we have a completely valid contract that we've had since 2009 with the (Independent Electricity System Operator). ... There's no good reason for the government to breach that contract," he said.

The government has also not reached out to discuss the cancellation, he said. Meanwhile, construction on the site is in full swing, he said.

"Over the last couple weeks we've had an average of 100 people on site every day," he said. "The footprint of the project is 100 per cent in. So, all the access roads, the concrete for the base foundations, much of the electrical infrastructure. The sub-station is nearing completion."

The project includes nine wind turbines meant to produce enough electricity to power just over 3,000 homes annually, even as Ontario looks to build on an electricity deal with Quebec for additional supply. All of the turbines are expected to be installed over the next three weeks, with testing scheduled for the following month.

MacRae couldn't say for certain who would have to pay for the cancellation, electricity ratepayers or taxpayers.

"Somehow that money would come from IESO and it would be my assumption that would end up somehow on the ratepayers, despite legislation to lower electricity rates now in place," he said. "We just need to see what the government has in mind and who will foot the bill."

Progressive Conservative house leader Todd Smith, who represents the riding where the project is being built, said the legislation to cancel the project will also insulate taxpayers from domestic litigation over the dismantling of green energy projects.

"This is something that the people of Prince Edward County have been fighting ... for seven years," he said. "This shouldn't have come as a surprise to anybody that this was at the top of the agenda for the incoming government, which has also eyed energy independence in recent decisions."

Smith questioned why Ontario's Independent Electricity System Operator gave the final approval for the project during the spring election campaign.

"There's a lot of questions about how this ever got greenlighted in the first place," he said. "This project was granted its notice to proceed two days into the election campaign ... when (the IESO) should have been in the caretaker mode."

Terry Young, the IESO's vice president of policy, engagement and innovation, said the agency could not comment because of the pending introduction of legislation to cancel the deal, following a recent auditor-regulator dispute that drew attention to oversight.

NDP Leader Andrea Horwath said the new Tory government is behaving like the previous Liberal government by cancelling energy projects and tearing up contracts amid ongoing debates over Ontario's hydro mess and affordability. She likened the Tory plan to the Liberal gas plant scandal that saw the government relocate two plants at a substantial cost to taxpayers.

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Ofgem Renewables Obligations drive supplier payments for renewables fees, feed-in tariffs, and renewable generation, with non-payment risking supply licences amid the price cap and volatile wholesale prices across the UK energy market.

Key Points

Mandatory payments by suppliers funding renewables via feed-in tariffs; non-payment can trigger supply licence revoking.

✅ Covers Renewables Obligation and Feed-in Tariff scheme compliance.

✅ Non-payment can lead to Ofgem action and licence loss.

✅ Affected by price cap and wholesale price volatility.

Seven small British energy suppliers owe a total of 34 million pounds ($43.74 million) in renewables fees, amid a renewables backlog that has stalled projects, and could face losing their supply licences if they cannot pay, energy regulator Ofgem reports.

Under Britain’s energy market rules, suppliers of energy must meet so-called renewables obligations and feed-in tariffs, including households' ability to sell solar power back to energy firms, which are imposed on them by the government to help fund renewable power generation.

Several small energy companies have gone bust over the past two years, a trend echoed by findings from a global utility study on renewable priorities, as they struggled to pay the renewables fees and as their profits were affected by a price cap on the most commonly used tariffs and fluctuating wholesale prices, even as a 10 GW contract brings new renewable capacity onto the UK grid.

Ofgem has called on the companies to make necessary payments by Oct. 31, as moves to offer community-generated power to all UK customers progress.

“If they do not pay Ofgem could start the process of revoking their licences to supply energy,” it said in a statement, as offshore wind power continues to scale nationwide.

The seven suppliers are, amid debates over clean energy impacts, Co-Operative Energy Limited; Flow Energy Limited; MA Energy Limited; Nabuh Energy Limited; Robin Hood Energy Limited; Symbio Energy Limited and Tonik Energy Limited. ($1 = 0.7773 pounds)

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