FERC approves plan to limit MMU's authority

SECCRA Waga Energy RNG Partnership captures landfill methane with WAGABOX, upgrades biogas to pipeline-quality RNG, enables grid injection, and lowers greenhouse gas emissions, delivering sustainable energy to Chester County homes and businesses.

Key Points

A joint project converting landfill methane to RNG with WAGABOX, cutting emissions and supplying local heat.

✅ WAGABOX captures and purifies landfill gas to RNG

✅ Grid injection supplies energy for 4,000+ homes

✅ Cuts methane and greenhouse gas emissions significantly

In a significant environmental initiative, the Southeastern Chester County Refuse Authority (SECCRA) has partnered with French energy company Waga Energy to convert methane emissions from its landfill into renewable natural gas (RNG). This collaboration aims to reduce greenhouse gas emissions and provide sustainable energy to the local community, echoing energy efficiency projects in Quebec seen elsewhere.

Understanding the Issue

Landfills are a substantial source of methane emissions, accounting for over 14% of human-induced methane emissions, according to the U.S. Environmental Protection Agency. Methane is a potent greenhouse gas, and issues like SF6 in power equipment further boost warming, trapping more heat in the atmosphere than carbon dioxide, making its reduction crucial in the fight against climate change.

The SECCRA-Waga Energy Partnership

SECCRA, serving approximately 105,000 residents in Chester County, processes between 450 to 500 tons of waste daily. To mitigate methane emissions from its landfill, SECCRA has partnered with Waga Energy to install a WAGABOX unit—a technology designed to capture and convert landfill methane into RNG, while related efforts like electrified LNG in B.C. illustrate sector-wide decarbonization.

How the WAGABOX Technology Works

The WAGABOX system utilizes a proprietary process to extract methane from landfill gas, purify it, and inject it into the natural gas grid. This process not only reduces harmful emissions, as emerging carbon dioxide electricity generation concepts also aim to do, but also produces a renewable energy source that can be used to heat homes and power businesses.

Environmental and Community Benefits

By converting methane into RNG, the project significantly lowers greenhouse gas emissions, supported by DOE funding for carbon capture initiatives, contributing to climate change mitigation. Additionally, the RNG produced is expected to supply energy to heat over 4,000 homes, providing a sustainable energy source for the local community.

Broader Implications

This initiative aligns with international clean energy cooperation to reduce methane emissions from landfills. Similar projects have been implemented worldwide, demonstrating the effectiveness of converting landfill methane into renewable energy. For instance, Waga Energy has successfully deployed WAGABOX units at various landfills, showcasing the scalability and impact of this technology.

The collaboration between SECCRA and Waga Energy represents a proactive step toward environmental sustainability and energy innovation. By transforming landfill methane into renewable natural gas, the project not only addresses a significant source of greenhouse gas emissions as new EPA power plant rules on carbon capture advance parallel strategies, but also provides a clean energy alternative for the Chester County community.

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California Governor Gavin Newsom vetoed a bill aimed at expanding load flexibility in state grid planning, citing conflicts with California’s resource adequacy framework and concerns over grid reliability and energy planning uncertainty.

Why has Newsom vetoed the Bill to Codify Load Flexibility?

Governor Gavin Newsom’s veto blocks legislation that would have required the California Energy Commission to incorporate load flexibility into the state’s energy planning and policy framework, a move that has stirred debate across the clean energy sector.

✅ Argues the bill conflicts with California’s existing Resource Adequacy system

✅ Draws backlash from clean energy and grid modernization advocates

✅ Exposes ongoing tension over how to manage renewable integration and demand response

California Governor Gavin Newsom has vetoed Assembly Bill 44, which would have required the California Energy Commission to evaluate and incorporate load management mechanisms into the state’s energy planning process. The move drew criticism from clean energy advocates who say it undermines efforts to strengthen grid reliability and reduce costs.

The bill directed the commission to adopt “upfront technical requirements and load modification protocols” that would allow load-serving entities to adjust their electrical demand forecasts. Proponents viewed this as a way to modernize California’s grid management, and to explore a revamp of electricity rates to help clean the grid, making it more responsive to demand fluctuations and renewable energy variability.

In his veto statement, Newsom said the bill was incompatible with existing energy planning frameworks, even as a looming electricity shortage remains a concern. “While I support expanding electric load flexibility, this bill does not align with the California Public Utility Commission’s Resource Adequacy framework,” he said. “As a result, the requirements of this bill would not improve electric grid reliability planning and could create uncertainty around energy resource planning and procurement processes.”

Newsom’s decision comes shortly after he signed a broad package of energy legislation that set the stage for a regional Western electricity market and extended the state’s cap-and-trade program. However, that legislative package did not include continued funding for several key grid reliability programs — including what advocates have called the world’s largest virtual power plant, a distributed network of connected devices that can balance electricity demand in real time.

Clean energy supporters saw AB 44 as a crucial step toward integrating these distributed energy resources into long-term grid planning. “With Assembly Bill 44 being vetoed, the state has missed a huge opportunity to advance common-sense policy that would have lowered costs, strengthened the grid, and unlocked the full potential of advanced energy,” said Edson Perez, California lead at Advanced Energy United.

Perez added that the setback increases pressure on lawmakers to take stronger action in the next legislative session. “The pressure is on next session to ensure that California is using all tools in its policy toolbox to build critically needed infrastructure, strengthen the grid, and bring costs down,” he said.

California’s growing use of demand response programs and virtual power plants has been central to its strategy for managing grid stress during heat waves and wildfire seasons. These systems allow utilities and customers to temporarily reduce or shift energy use, helping to prevent blackouts and reduce the need for fossil-fuel peaker plants during peak demand.

A recent report by the Brattle Group found that California’s taxpayer-funded virtual power plant could save ratepayers $206 million between 2025 and 2028 while reducing reliance on gas generation. The study, commissioned by Sunrun and Tesla Energy, highlighted the potential for flexible load management to improve both grid reliability and reduce costs, even as regulators weigh whether the state needs more power plants to ensure reliability.

Despite these findings, Newsom’s veto signals continued tension between state policymakers and clean energy advocates over how best to modernize California’s power grid. While the governor has prioritized large-scale renewable development and regional market integration, critics argue that California’s climate policy choices risk exacerbating reliability challenges and that failing to codify load flexibility could slow progress toward a more adaptive, resilient, and affordable clean energy future.

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Utility Battery Storage Rankings measure grid-connected capacity, not ownership, highlighting MW, MWh, and watts per customer across PJM, MISO, and California IOUs, featuring Duke Energy, IPL, ancillary services, and frequency regulation benefits.

Key Points

Rankings that track energy storage connected to utility grids, comparing MW, MWh, and W/customer rather than ownership.

✅ Ranks by MW, MWh, and watts per customer, not asset ownership

✅ Highlights PJM, MISO cases and California IOUs' deployments

✅ Examples: Duke Energy, IPL, IID; ancillary services, frequency response

The rankings do not tally how much energy storage a utility built or owns, but how much was connected to their system. So while IPL built and owns the storage facility in its territory, Duke does not own the 16 MW of storage that connected to its system in 2016. Similarly, while California’s utilities are permitted to own some energy storage assets, they do not necessarily own all the storage facilities connected to their systems.

Measured by energy (MWh), IPL ranked fourth with 20 MWh, and Duke Energy Ohio ranked eighth with 6.1 MWh.

Ranked by energy storage watts per customer, IPL and Duke actually beat the California utilities, ranking fifth and sixth with 42 W/customer and 23 W/customer, respectively.

Duke ready for next step

Given Duke’s plans, including projects in Florida that are moving ahead, the utility is likely to stay high in the rankings and be more of a driving force in development. “Battery technology has matured, and we are ready to take the next step,” Duke spokesman Randy Wheeless told Utility Dive. “We can go to regulators and say this makes economic sense.”

Duke began exploring energy storage in 2012, and until now most of its energy storage efforts were focused on commercial projects in competitive markets where it was possible to earn revenues. Those included its 36 MW Notrees battery storage project developed in partnership with the Department of Energy in 2012 that provides frequency regulation for the Electric Reliability Council of Texas market and two 2 MW storage projects at its retired W.C. Beckjord plant in New Richmond, Ohio, that sells ancillary services into the PJM Interconnection market.

On the regulated side, most of Duke’s storage projects have had “an R&D slant to them,” Wheeless said, but “we are moving beyond the R&D concept in our regulated territory and are looking at storage more as a regulated asset.”

“We have done the demos, and they have proved out,” Wheeless said. Storage may not be ready for prime time everywhere, he said, but in certain locations, especially where it can it can be used to do more than one thing, it can make sense.

Wheeless said Duke would be making “a number of energy storage announcements in the next few months in our regulated states.” He could not provide details on those projects.

More flexible resources
Location can be a determining factor when building a storage facility. For IPL, serving the wholesale market was a driving factor in the rationale to build its 20 MW, 20 MWh storage facility in Indianapolis.

IPL built the project to address a need for more flexible resources in light of “recent changes in our resource mix,” including decreasing coal-fired generation and increasing renewables and natural gas-fired generation, as other regions plan to rely on battery storage to meet rising demand, Joan Soller, IPL’s director of resource planning, told Utility Dive in an email. The storage facility is used to provide primary frequency response necessary for grid stability.

The Harding Street storage facility in May. It was the first energy storage project in the Midcontinent ISO. But the regulatory path in MISO is not as clear as it is in PJM, whereas initiatives such as Ontario storage framework are clarifying participation. In November, IPL with the Federal Energy Regulatory Commission, asking the regulator to find that MISO’s rules for energy storage are deficient and should be revised.

Soller said IPL has “no imminent plans to install energy storage in the future but will continue to monitor battery costs and capabilities as potential resources in future Integrated Resource Plans.”

California legislative and regulatory push

In California, energy storage did not have to wait for regulations to catch up with technology. With legislative and regulatory mandates, including CEC long-duration storage funding announced recently, as a push, California’s IOUs took high places in SEPA’s rankings.

Southern California Edison and San Diego Gas & Electric were first and fourth (63.2 MW and 17.2 MW), respectively, in terms of capacity. SoCal Ed and SDG&E were first and second (104 MWh and 28.4 MWh), respectively, and Pacific Gas and Electric was fifth (17 MWh) in terms of energy.

But a public power utility, the Imperial Irrigation District (IID), ended up high in the rankings – second in capacity (30 MW) and third  in energy (20 MWh) – even though as a public power entity it is not subject to the state’s energy storage mandates.

But while IID was not under state mandate, it had a compelling regulatory reason to build the storage project. It was part of a settlement reached with FERC over a September 2011 outage, IID spokeswoman Marion Champion said.

IID agreed to a $12 million fine as part of the settlement, of which $9 million was applied to physical improvements of IID’s system.

IID ended up building a 30 MW, 20 MWh lithium-ion battery storage system at its El Centro generating station. The system went into service in October 2016 and in May, IID used the system’s 44 MW combined-cycle natural gas turbine at the generating station.

Passing savings to customers
The cost of the storage system was about $31 million, and based on its experience with the El Centro project, Champion said IID plans to add to the existing batteries. “We are continuing to see real savings and are passing those savings on to our customers,” she said.

Champion said the battery system gives IID the ability to provide ancillary services without having to run its larger generation units, such as El Centro Unit 4, at its minimum output. With gas prices at $3.59 per million British thermal units, it costs about $26,880 a day to run Unit 4, she said.

IID’s territory is in southeastern California, an area with a lot of renewable resources. IID is also not part of the California ISO and acts as its own balancing authority. The battery system gives the utility greater operational flexibility, in addition to the ability to use more of the surrounding renewable resources, Champion said.

In May, IID’s board gave the utility’s staff approval to enter into contract negotiations for a 7 MW, 4 MWh expansion of its El Centro storage facility. The negotiations are ongoing, but approval could come in the next couple months, Champion said.

The heart of the issue, though, is “the ability of the battery system to lower costs for our ratepayers,” Champion said. “Our planning section will continue to utilize the battery, and we are looking forward to its expansion,” she said.” I expect it will play an even more important role as we continue to increase our percentage of renewables.”

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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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Global Power Sector CO2 Surge 2021 shows electricity demand outpacing renewable energy, with coal and fossil fuels rebounding, undermining green recovery goals and climate change targets flagged by the IEA and IPCC.

Key Points

Record rise in power sector CO2 in 2021 as demand outpaced renewables and coal rebounded, undermining a green recovery.

✅ Electricity demand rose 5% above pre-pandemic levels

✅ Fossil fuels supplied 61% of power; coal led the rebound

✅ Wind and solar grew 15% but lagged demand

Carbon dioxide emissions from the global electric power sector surged past pre-pandemic levels to record highs in the first half of 2021, according to new research by London-based environmental think tank Ember.

Electricity demand and emissions are now 5% higher than where they were before the Covid-19 outbreak, which prompted worldwide lockdowns that led to a temporary drop in global greenhouse gas emissions. Electricity demand also surpassed the growth of renewable energy, and surging electricity demand is putting power systems under strain, the analysis found.

The findings signal a failure of countries to achieve a so-called “green recovery” that would entail shifting away from fossil fuels toward renewable energy, though European responses to Covid-19 have accelerated the electricity system transition by about a decade, to avoid the worst consequences of climate change.

The report found that 61% of the world’s electricity still came from fossil fuels in 2020. Five G-20 countries had more than 75% of their electricity supplied from fossil fuels last year, with Saudi Arabia at 100%, South Africa at 89%, Indonesia at 83%, Mexico at 75% and Australia at 75%.

Coal generation did fall a record 4% in 2020, but overall coal supplied 43% of the additional energy demand between 2019 and 2020, with soaring electricity and coal use underscoring persistent demand pressures. Asia currently generates 77% of the world’s coal electricity and China alone generates 53%, up from 44% in 2015.

The world’s transition out of coal power, which contributes to roughly 30% of the world’s greenhouse gas emissions, is happening far too slowly to avoid the worst impacts of climate change, the study warned. And the International Energy Agency forecasts coal generation will rebound in 2021 as electricity demand picks up again, even as renewables are poised to eclipse coal by 2025 according to other analyses.

“Progress is nowhere near fast enough. Despite coal’s record drop during the pandemic, it still fell short of what is needed,” Ember lead analyst Dave Jones said in a statement.

Jones said coal power usage must collapse by 80% by the end of the decade to avoid dangerous levels of global warming above 1.5 degrees Celsius (2.7 degrees Fahrenheit).

“We need to build enough clean electricity to simultaneously replace coal and electrify the global economy,” Jones said. “World leaders have yet to wake up to the enormity of the challenge.”

The findings come ahead of a major U.N. climate conference in Glasgow, Scotland, in November, where negotiators will push for more ambitious climate action and emissions reduction pledges from nations.

Without immediate, rapid and large-scale reductions to global emissions, scientists of the Intergovernmental Panel on Climate Change warn that the average global temperature will likely cross the 1.5 degrees Celsius threshold within 20 years.

The study also highlighted some upsides. Wind and solar generation, for instance, rose by 15% in 2020, and low-emissions sources are set to cover almost all the growth in global electricity demand in the next three years, producing nearly a tenth of the world’s electricity last year and doubling production since 2015.

Some countries now get about 10% of their electricity from wind and solar, including India, China, Japan, Brazil. The U.S. and Europe have experienced the biggest growth in wind and solar, and in the EU, wind and solar generated more electricity than gas last year, with Germany at 33% and the U.K. leads the G20 for wind power at 29%.

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EU Solar Impact on Electricity Prices highlights how rising solar PV penetration drives negative pricing, shifts peak hours, pressures wholesale markets, and challenges grid balancing, interconnection, and flexibility amid changing demand and renewables growth.

Key Points

Explains how rising solar PV cuts wholesale prices, shifts negative-price hours, and strains grid flexibility.

✅ Negative pricing events surge with higher solar penetration.

✅ Afternoon price dips replace night-time wind-led lows.

✅ Grid balancing, interconnectors, and flexibility become critical.

The latest EU electricity market report has confirmed the affect deeper penetration of solar is having on wholesale electricity prices more broadly.

The Quarterly Report on European Electricity Markets for the final three months of last year noted the number of periods of negative electricity pricing doubled from 2019, to almost 1,600 such events, as global renewables set new records in deployment across markets.

Having experienced just three negative price events in 2019, the Netherlands recorded almost 100 last year “amid a dramatic increase in solar PV capacity,” in the nation, according to the report.

Whilst stressing the exceptional nature of the Covid-19 pandemic on power consumption patterns, the quarterly update also noted a shift in the hours during which negative electric pricing occurred in renewables poster child Germany. Previously such events were most common at night, during periods of high wind speed and low demand, but 2020 saw a switch to afternoon negative pricing. “Thus,” stated the report, “solar PV became the main driver behind prices falling into negative territory in the German market in 2020, as Germany's solar boost accelerated, and also put afternoon prices under pressure generally.”

The report also highlighted two instances of scarce electricity–in mid September and on December 9–as evidence of the problems associated with accommodating a rising proportion of intermittent clean energy capacity into the grid, and called for more joined-up cross-border power networks, amid pushback from Russian oil and gas across the continent.

Rising solar generation–along with higher gas output, year on year–also helped the Netherlands generate a net surplus of electricity last year, after being a net importer “for many years.” The EU report also noted a beneficial effect of rising solar generation capacity on Hungary‘s national electricity account, and cited a solar “boom” in that country and Poland, mirroring rapid solar PV growth in China in recent years.

With Covid-19 falls in demand helping renewables generate more of Europe's electricity (39%) than fossil fuels (36%) for the first time, as renewables surpassed fossil fuels across Europe, the market report observed the 5% of the bloc's power produced from solar closed in on the 6% accounted for by hard coal. In the final three months of the year, European solar output rose 12%, year on year, to 18 TWh and “the increase was almost single-handedly driven by Spain,” the study added.

With coal and lignite-fired power plunging 22% last year across the bloc, it is estimated the European power sector reduced its carbon footprint 14% as part of Europe's green surge although the quarterly report warned cold weather, lower wind speeds and rising gas prices in the opening months of this year are likely to see carbon emissions rebound.

There was good news on the transport front, though, with the report stating the scale of the European “electrically-charged vehicle” fleet doubled in 2020, to 2 million, with almost half a million of the new registrations arriving in the final months of the year. That meant cars with plug sockets accounted for a remarkable 17% of new purchases in Q4, twice the proportion seen in China and a slice of the pie six times bigger than such products claimed in the U.S.

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