Early Coal Plant Phase-out Can be Achieved

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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2019 Global CO2 Emissions stayed flat, IEA reports, as renewable energy growth, wind and solar deployment, nuclear output, and coal-to-gas switching in advanced economies offset increases elsewhere, supporting climate goals and clean energy transitions.

Key Points

33 gigatonnes, unchanged YoY, as advanced economies cut power emissions via renewables, gas, and nuclear.

✅ IEA reports emissions flat at 33 Gt despite 2.9% GDP growth

✅ Advanced economies cut power-sector CO2 via wind, solar, gas

✅ Nuclear restarts and mild weather aided reductions

Despite widespread expectations of another increase, global energy-related CO2 emissions stopped growing in 2019, according to International Energy Agency (IEA) data released today. After two years of growth, global emissions were unchanged at 33 gigatonnes in 2019, a notable marker in the global energy transition narrative even as the world economy expanded by 2.9%.

This was primarily due to declining emissions from electricity generation in advanced economies, thanks to the expanding role of renewable sources (mainly wind and solar across many markets), fuel switching from coal to natural gas, and higher nuclear power generation, the Paris-based organisation says in the report.

"We now need to work hard to make sure that 2019 is remembered as a definitive peak in global emissions, not just another pause in growth," said Fatih Birol, the IEA's executive director. "We have the energy technologies to do this, and we have to make use of them all."

Higher nuclear power generation in advanced economies, particularly in Japan and South Korea, avoided over 50 Mt of CO2 emissions. Other factors included milder weather in several countries, and slower economic growth in some emerging markets. In China, emissions rose but were tempered by slower economic growth and higher output from low-carbon sources of electricity. Renewables continued to expand in China, and 2019 was also the first full year of operation for seven large-scale nuclear reactors in the country.

A significant decrease in emissions in advanced economies in 2019 offset continued growth elsewhere. The USA recorded the largest emissions decline on a country basis, with a fall of 140 million tonnes, or 2.9%. US emissions are now down by almost 1 gigatonne from their peak in 2000. Emissions in the European Union fell by 160 million tonnes, or 5%, in 2019 driven by reductions in the power sector as electricity producers move away from coal in the generation mix. Japan’s emissions fell by 45 million tonnes, or around 4%, the fastest pace of decline since 2009, as output from recently restarted nuclear reactors increased.

Emissions in the rest of the world grew by close to 400 million tonnes in 2019, with almost 80% of the increase coming from countries in Asia where coal-fired power generation continued to rise, and in Australia emissions rose 2% due to electricity and transport. Coal-fired power generation in advanced economies declined by nearly 15%, reflecting a sharp fall in coal-fired electricity across multiple markets, as a result of growth in renewables, coal-to-gas switching, a rise in nuclear power and weaker electricity demand.

The IEA will publish a World Energy Outlook Special Report in June that will map out how to cut global energy-related carbon emissions by one-third by 2030 and put the world on track for longer-term climate goals, a pathway that, in Canada, will require more electricity to hit net-zero. It will also hold an IEA Clean Energy Transitions Summit in Paris on 9 July, bringing together key government ministers, CEOs, investors and other major stakeholders.

Birol will discuss the results published today tomorrow at an IEA Speaker Series event at its headquarters with energy and climate ministers from Poland, which hosted COP24 in Katowice; Spain, which hosted COP25 in Madrid; and the UK, which will host COP26 in Glasgow this year, as greenhouse gas concentrations continue to break records worldwide.

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Ontario Global Adjustment and ICI balance hydro rates, renewable cost shift, and peak demand. Class A and Class B customers face demand response decisions amid pandemic occupancy uncertainty and volatile GA charges through 2022.

Key Points

A pricing model where GA costs and ICI peak allocation shape Class A/B bills, driven by renewables cost shifts.

✅ Renewable cost shift trims GA; larger Class A savings expected.

✅ Class A peak strategy returns; occupancy uncertainty persists.

✅ Class B faces volatile GA; limited levers beyond efficiency.

Ontario’s large commercial electricity customers can approach the looming annual decision about their billing structure for the 12 months beginning July 1 with the assurance of long-term relief on a portion of their costs, amid changes coming for electricity consumers that could affect planning. That’s to be weighed against uncertainties around energy demand and whether a locked-in cost allocation formula that looked favourable in pre-pandemic times will remain so until June 30, 2022.

“The biggest unknown is we just don’t know when the people are coming back,” Jon Douglas, director of sustainability with Menkes Property Management Services, reflected during a webinar sponsored by the Building Owners and Managers Association (BOMA) of Greater Toronto last week. “The occupancy in our office buildings this fall, and going into the new year, could really impact the outcome of the decision.”

After a year of operational upheaval and more modifications to provincial electricity pricing policies, BOMA Toronto’s regularly scheduled workshop ahead of the June 15 deadline for eligible customers to opt into the Industrial Conservation Initiative (ICI) program had a lot of ground to cover. Notably, beginning in January, all commercial customers have seen a reduction in the global adjustment (GA) component of their monthly hydro bills after the Ontario government shifted costs associated with contracted non-hydroelectric renewable supply to reduce the burden on industrial ratepayers from electricity rates to the general provincial account — a move that trims approximately $258 million per month from the total GA charged to industrial and commercial customers. However, they won’t garner the full benefit of that until 2022 since they’re currently repaying about $333 million in GA costs that were deferred in April, May and June of 2020.

Renewable cost shift pares the global adjustment
For now, Ontario government officials estimate the renewable cost shift equates to a 12 per cent discount relative to 2020 prices, even as typical bills may rise about 2% as fixed pricing ends in some cases. Once last year’s GA deferral is repaid at the end of 2021, they project the average Class A customer participating in the ICI program should realize a 16 per cent saving on the total hydro bill, while Class B customers paying the GA on a volumetric per kilowatt-hour (kWh) basis will see a slightly more moderate 15 per cent decrease.

“This is the biggest change to electricity pricing that’s happened since the introduction of ICI,” Tim Christie, director of electricity policy, economics and system planning for Ontario’s Ministry of Energy, Northern Development and Mines, told online workshop attendees. “The government is funding the out-of-market costs of renewables. It does tail off into the 2030s as those contracts (for wind, solar and biomass generation) expire, but over the next eight-ish years, it’s pretty steady at around just over $3 billion per year.”

Extrapolating from 2020 costs, he pegged average electricity costs at roughly 9.1 cents/kWh for Class A commercial customers and 13.2 cents/kWh for Class B, a point of concern for Ontario manufacturers facing high rates as well. However, energy management specialists suggest actual 2021 numbers haven’t proved that out.

“In commercial buildings, we’re averaging 10 to 12 cents for Class A in 2021, and we’re seeing more than that for about 14, 15 cents for Class B,” reported Scott Rouse, managing partner with the consulting firm, Energy@Work.

GA costs for Class B customers dropped nearly 30 per cent in the first four months of 2021 compared to the last four months of 2020, when they averaged 11.8 cents/kWh. Thus far, though, there have been significant month-to-month fluctuations, with a low of 5.04 cents/kWh in February and a high of 10.9 cents/kWh in April contributing to the four-month average of 8.3 cents/kWh.

“In 2020, system-wide GA very often averaged more than $1 billion per month,” Rouse said. “This February it dropped to $500 million, which was really quite surprising. So it is a very volatile cost.”

Although welcome, the renewable cost shift does alter the payback on energy-saving investments, particularly for demand response mechanisms like energy storage. When combined with pandemic-related uncertainty and a series of policy and program reversals alongside calls to clean up Ontario’s hydro policy in recent years, the industry’s appetite for some more capital-intensive technologies appears to be flagging.

“Volatility puts a pause on some of the innovation,” said Terry Flynn, general manager with BentallGreenOak and chair of BOMA Toronto’s energy committee. “It could be a leading edge, but it might be a bleeding edge that won’t bear any fruit because the way the commodity costs are structured will change.”

“There’s kind of a wait-and-see approach on some of these bigger investments,” Douglas concurred.

Industrial Conservation Initiative underpins commercial class divide
Turning to the ICI, Class A customers — defined as those with average monthly energy demand of at least 1 megawatt (MW) — encountered some unexpected changes to the program rules during 2020. Meanwhile, Class B customers — encompassing the vast share of commercial properties smaller than about 350,000 square feet — confront the persistent reality of electricity cost allocation that offloads the burden from larger players onto them.

Through the ICI, participating Class A customers pay a share of the global adjustment that’s prorated to their energy use during the five hours of the period from May 1 to April 30 when the highest overall system demand is recorded. This gives Class A customers the opportunity to lock in a favourable factor for calculating their share of monthly system-wide global adjustment costs if they can successful project and curtail energy loads during those five hours of peak demand. On the flipside, Class B customers pay the remainder of those system-wide costs, on a straightforward per-kWh basis, once Class A payments have been reconciled.

“Class B has sometimes been regarded as the forgotten middle child of the customer classes in Ontario where all the shifted costs in the system kind of pile up,” acknowledged Mark Olsheski, vice president, energy and environment, with Sussex Strategy Group. “Likewise, there can be big unpredictable and uncontrollable swings in the global adjustment rate from month to month and, outside of pure energy efficiency, there really is precious little opportunity or empowerment for a Class B customer to take actions to lower their bills.”

Nevertheless, COVID-19 presents a few extra hiccups for Class A customers this year. Conventionally, late May is when they receive notification of the cost allocation factor that would be used to determine their GA for the upcoming July 1 to June 30 period. This year, though, all current ICI participants will retain the factor they secured by responding to the five hours of peak demand during the 12 months from May 1, 2019 to April 30, 2020 after the Ontario government placed a temporary halt on the peak demand response aspect of the program last summer. Regardless, eligible ICI participants must formally opt into the program by June 15 or they will be billed as Class B customers.

Peak chasing resumes for summer 2021
Since peak demand hours conventionally occur from June to September, Class A customers will once again be studying forecasts intently and preparing to respond via Peak Perks as the heat wave season sets in. That should help alleviate some of the system stresses that arose last summer — prompting policy-makers to reject lobbying for a continued pause on peak demand response.

“The policy rationale was to allow consumers to focus on their operations when recovering from COVID as opposed to reducing peaks. The other issue was that we did not expect the peaks to be high last summer given COVID shutdowns,” Christie recounted. “But due to some hot weather, more people at home and also the lack of ICI response, we saw peaks we haven’t seen in many, many years come up last summer. So the peak hiatus has ended and this summer we’ll be back to responding to ICI as per normal.”

Among Class A customers, owners/managers of office and retail facilities generally have the most to lose from a billing formula tied to the energy demand of more densely occupied buildings in the summer of 2019. However, they could be much more competitively positioned for 2022-23 if their buildings remain below full occupancy and energy demand stays lower than usual this summer.

“Where we can improve is the IESO (Independent Electricity System Operator) and the LDCs (local distribution companies) need to help customers get their real-time data, especially in light of the phantom demand issue, interpret their bills and their Class A versus B scenarios much more easily and comprehensively,” urged Lee Hodgkinson, vice president, technical services, sustainability and ESG, with Dream Unlimited. “ I look for APIs (application programming interface) and direct data flow from the LDCs to the building owners so that we can access that data really easily.”

Given Class A’s historic advantages, few eligible ICI participants are expected to migrate out to Class B. From a sustainability perspective, there’s perhaps more cause to question how the ICI’s 1-MW threshold encourages strategies to move in the other direction.

“You could jack up demand in some buildings and get them into Class A basically by firing up the chillers on the weekend and then pouring cooling outside to get rid of it,” Douglas noted. “That has nothing to do with climate change strategy or sustainability, but it’s a cost- saving strategy, and, sometimes, when you look at the math, it’s hundreds of thousands of dollars you can save.”

Brian Hewson, vice president, consumer protection and industry performance with the Ontario Energy Board (OEB), confirmed the OEB is currently scrutinizing the discrepancy that leaves Class B as the only consumer group with no flexibility to curtail energy load during higher-priced periods, and will be providing advice to the Ministry of Energy. In the interim, that status does, at least, simplify tactics.

“Just reduce your kWh and it doesn’t matter what time of day because you’re paying that fixed rate for 24 hours a day. So if you can curb your demand at night, you get a big bang for your dollar,” Rouse advised.

“We do talk about rates a lot, but if you’re not using it, you’re not paying for it,” Flynn agreed. “A lot of our focus is still on really to try to reduce the number of kilowatts that we use. That seems to be the best thing to do.”

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El Salvador Geothermal Expansion boosts renewable energy with a 7 MW Berlin binary ORC plant, upgrades at Ahuachapan, and pipeline projects, strengthening clean power capacity, grid reliability, and sustainable growth in Central America.

Key Points

A national push adding binary-cycle capacity at Berlin and Ahuachapan, boosting geothermal supply and advancing sites.

✅ 7 MW Berlin binary ORC plant entering service.

✅ Ahuachapan upgrade adds 2 MW, total geothermal 204 MW.

✅ Next: Chinameca, San Miguel, San Vicente, World Bank backed.

El Salvador is set to expand its renewable energy capacity with the inauguration of the 7-MW Berlin binary geothermal power plant, slated to go online later this year. This new addition marks a significant milestone in the country’s geothermal energy development, highlighting its commitment to sustainable energy solutions. The plant, which has already been installed and is currently undergoing testing, is expected to boost the nation’s geothermal capacity, contributing to its growing renewable energy portfolio.

The Role of Geothermal Energy in El Salvador’s Energy Mix

Geothermal energy plays a pivotal role in El Salvador's energy landscape. With the combined output from the Ahuachapan and Berlin geothermal plants, geothermal energy now accounts for about 21% of the country's net electricity supply. This makes geothermal the second-largest source of energy generation in El Salvador, underscoring its importance as a reliable and sustainable energy resource alongside emerging options like advanced nuclear microreactor technologies in the broader low-carbon mix.

In addition to the Berlin plant, El Salvador has made significant improvements to its Ahuachapan geothermal power plant. Recent upgrades have increased its generation capacity by 2 MW, further enhancing the country’s geothermal energy output. Together, the Ahuachapan and Berlin plants bring the total installed geothermal capacity to 204 MW, positioning El Salvador as a regional leader in geothermal energy development.

The Berlin Binary Geothermal Plant: A Technological Milestone

The Berlin binary geothermal power plant is especially noteworthy for several reasons. It is the first geothermal power plant to be constructed in El Salvador since 2007, marking a significant step in the country's ongoing efforts to expand its renewable energy infrastructure while reinforcing attention to risk management in light of Hawaii geothermal safety concerns reported elsewhere. The plant utilizes a binary cycle geothermal system, which is known for its efficiency in extracting energy from lower temperature geothermal resources, making it an ideal solution for regions like Berlin, where geothermal resources are abundant but at lower temperatures.

The plant was built by Turboden, an Italian company specializing in organic Rankine cycle (ORC) technology. The binary cycle system operates by transferring heat from the geothermal fluid to a secondary fluid, which then drives a turbine to generate electricity. This system allows for the efficient use of geothermal resources that might otherwise be too low in temperature for traditional geothermal plants, enabling pairing with thermal storage demonstration solutions to optimize output.

Future Geothermal Developments in El Salvador

El Salvador is not stopping with the Berlin geothermal plant. The country is actively working on other geothermal projects, including those in Chinameca, San Miguel, and San Vicente. These developments are expected to add 50 MW of additional capacity in their first phase, reflecting a broader shift as countries pursue hydrogen-ready power plants to reduce emissions, with a second phase, supported by the World Bank, planned to add another 100 MW.

The Chinameca, San Miguel, and San Vicente projects represent the next wave of geothermal development in El Salvador. When completed, these plants will significantly increase the country’s geothermal capacity, further diversifying its energy mix and reducing reliance on fossil fuels, and will require ongoing grid upgrades, a task complicated elsewhere by Germany grid expansion challenges highlighted in Europe.

International Support and Collaboration

El Salvador’s geothermal development efforts are supported by various international partners, including the World Bank, which has been instrumental in financing the expansion of geothermal projects, as utilities such as SaskPower geothermal plans in Canada explore comparable pathways. This collaboration highlights the global recognition of El Salvador’s potential in geothermal energy and its efforts to position itself as a hub for geothermal energy development in Central America.

Additionally, the country’s expertise in geothermal energy, especially in binary cycle technology, has attracted international attention. El Salvador’s progress in the geothermal sector could serve as a model for other countries in the region that are looking to harness their geothermal resources to reduce energy costs and promote sustainable energy development.

The upcoming launch of the Berlin binary geothermal power plant is a testament to El Salvador’s commitment to sustainable energy. As the country continues to expand its geothermal capacity, it is positioning itself as a leader in renewable energy in the region. The binary cycle technology employed at the Berlin plant not only enhances energy efficiency but also demonstrates El Salvador’s ability to adapt and innovate within the renewable energy sector.

With the continued development of projects in Chinameca, San Miguel, and San Vicente, and ongoing international collaboration, El Salvador’s geothermal energy sector is set to play a crucial role in the country’s energy future. As global demand for clean energy grows, exemplified by U.S. solar capacity additions this year, El Salvador’s investments in geothermal energy are helping to build a more sustainable, resilient, and energy-independent future.

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Germany Coal Phase-Out 2038 advances the energy transition, curbing lignite emissions while scaling renewable energy, carbon pricing, and hydrogen storage amid a nuclear phase-out and regional just-transition funding for miners and communities.

Key Points

Germany's plan to end coal by 2038, fund regional transition, and scale renewable energy while exiting nuclear.

✅ Closes last coal plant by 2038; reviews may accelerate.

✅ 40b euros aid for lignite regions and workforce.

✅ Emphasizes renewables, hydrogen, carbon pricing reforms.

German lawmakers have finalized the country's long-awaited phase-out of coal as an energy source, backing a plan that environmental groups say isn't ambitious enough and free marketeers criticize as a waste of taxpayers' money.

Bills approved by both houses of parliament Friday envision shutting down the last coal-fired power plant by 2038 and spending some 40 billion euros ($45 billion) to help affected regions cope with the transition, which has been complicated by grid expansion woes in recent years.

The plan is part of Germany's `energy transition' - an effort to wean Europe's biggest economy off planet-warming fossil fuels and generate all of the country's considerable energy needs from renewable sources. Achieving that goal is made harder than in comparable countries such as France and Britain because of Germany's existing commitment to also phase out nuclear power entirely by the end of 2022.

"The days of coal are numbered in Germany," Environment Minister Svenja Schulze said. "Germany is the first industrialized country that leaves behind both nuclear energy and coal."

Greenpeace and other environmental groups have staged vocal protests against the plan, including by dropping a banner down the front of the Reichstag building Friday. They argue that the government's road map won't reduce Germany's greenhouse gas emissions fast enough to meet the targets set out in the Paris climate accord.

"Germany, the country that burns the greatest amount of lignite coal worldwide, will burden the next generation with 18 more years of carbon dioxide," Greenpeace Germany's executive director Martin Kaiser told The Associated Press.

Kaiser, who was part of a government-appointed expert commission, accused Chancellor Angela Merkel of making a "historic mistake," saying an end date for coal of 2030 would have sent a strong signal for European and global climate policy. Merkel has said she wants Europe to be the first continent to end its greenhouse gas emissions, by 2050, even as some in Berlin debate a possible nuclear U-turn to reach that goal faster.

Germany closed its last black coal mine in 2018, but it continues to import the fuel and extract its own reserves of lignite, a brownish coal that is abundant in the west and east of the country, and generates about a third of its electricity from coal in recent years. Officials warn that the loss of mining jobs could hurt those economically fragile regions, though efforts are already under way to turn the vast lignite mines into nature reserves and lakeside resorts.

Schulze, the environment minister, said there would be regular government reviews to examine whether the end date for coal can be brought forward, even as Berlin temporarily extended nuclear operations during the energy crisis. She noted that by the end of 2022, eight of the country's most polluting coal-fired plants will have already been closed.

Environmentalists have also criticized the large sums being offered to coal companies to shut down their plants, a complaint shared by libertarians such as Germany's opposition Free Democratic Party.

Katja Suding, a leading FDP lawmaker, said the government should have opted to expand existing emissions trading systems that put a price on carbon, thereby encouraging operators to shut down unprofitable coal plants.

Katja Suding, a leading FDP lawmaker, said the government should have opted to expand existing emissions trading systems, rather than banking on a nuclear option, that put a price on carbon, thereby encouraging operators to shut down unprofitable coal plants.

"You just have to make it so expensive that it's not profitable anymore to turn coal into electricity," she said.

This week, utility companies in Spain shut down seven of the country's 15 coal-fired power plants, saying they couldn't be operated at profit without government subsidies.

But the head of Germany's main miners' union, Michael Vassiliadis, welcomed the decision, calling it a "historic milestone." He urged the government to focus next on an expansion of renewable energy generation and the use of hydrogen as a clean alternative for storing and transporting energy in the future, amid arguments that nuclear won't fix the gas crunch in the near term.

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Germany January Power Mix shows gas-fired generation rising, coal steady, and nuclear phaseout impacts, amid cold weather, energy prices, industrial demand, and emissions targets shaping renewables, grid stability, and security of supply.

Key Points

The January electricity mix, highlighting gas, coal, renewables, and nuclear exit effects on emissions, prices, and demand.

✅ Gas output up 13% to 8.74 TWh, share at 18.6%.

✅ Coal share 23%, down year on year, steady vs late 2023.

✅ Nuclear gap filled by gas and coal; emissions below Jan 2023.

Germany's electricity generation in January presented a fascinating snapshot of its energy transition journey. As the country strives to move away from fossil fuels, with renewables overtaking coal and nuclear in its power mix, it grapples with the realities of replacing nuclear power and meeting fluctuating energy demands.

Gas Takes the Lead:

Gas-fired power plants saw their highest output in two years, generating 8.74 terawatt hours (TWh). This 13% increase compared to January 2023 compensated for the closure of nuclear reactors, which were extended during the energy crisis to shore up supply, and colder weather driving up heating needs. This reliance on gas, however, pushed its share in the electricity mix to 18.6%, highlighting Germany's continued dependence on fossil fuels.

Coal Fades, but Not Forgotten:

While gas surged, coal-fired generation remained below previous levels, dropping 29% from January 2023. However, it stayed relatively flat compared to late 2023, suggesting utilities haven't entirely eliminated it. Coal still held a 23% share, and periodic coal reliance remains evident, exceeding gas' contribution, reflecting its role as a reliable backup for intermittent renewable sources like wind.

Nuclear Void and its Fallout:

The shutdown of nuclear plants in April 2023 created a significant gap, previously accounting for an average of 12% of annual electricity output. This loss is being compensated through gas and coal, with gas currently the preferred choice, even as a nuclear option debate persists among policymakers. This strategy kept January's power sector emissions lower than the previous year, but rising demand could shift the balance.

Industry's Uncertain Impact:

Germany's industrial sector, a major energy consumer, is facing challenges like high energy prices and weak consumer demand. While the government aims to foster industrial recovery, uncertainties linger due to a shaky coalition and limited budget, and debate about a possible nuclear resurgence continues in parallel, which could reshape policy. Any future industrial revival would likely increase energy demand and potentially necessitate more gas or coal.

Cost-Driven Choices and Emission Concerns:

The choice between gas and coal depends on their relative costs, in a system pursuing a coal and nuclear phase-out under long-term policy. Currently, gas seems more favorable emission-wise, but if its price rises, coal might become more attractive, impacting overall emissions.

Looking Ahead:

Germany's energy transition faces a complex balancing act, with persistent grid expansion woes and exposure to cheap gas complicating progress. While the reliance on gas and coal highlights the difficulties in replacing nuclear, the focus on emissions reduction is encouraging. Navigating the challenges of affordability, industrial needs, and climate goals will be crucial for a successful transition to a clean and secure energy future.

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