Carbon capture can break the old energy equation

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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U.S. Natural Gas Power Demand is surging for electricity generation amid summer heat, with ERCOT, Texas grid reserves tight, EIA reporting coal and nuclear retirements, renewables intermittency, and pipeline expansions supporting combined-cycle capacity and prices.

Key Points

It is rising use of natural gas for power, driven by summer heat, plant retirements, and new combined-cycle capacity.

✅ ERCOT reserve margin 9%, below 14% target in Texas

✅ Gas share of U.S. power near 40-43% this summer

✅ Coal and nuclear retirements shift capacity to combined cycle

As the hot months linger, it will be natural gas that is leaned on most to supply the electricity that we need to run our air conditioning loads on the grid and keep us cool.

And this is surely a great and important thing: "Heat causes most weather-related deaths, National Weather Service says."

Generally, U.S. gas demand for power in summer is 35-40% higher than what it was five years ago, with so much more coming (see Figure).

The good news is regions across the country are expected to have plenty of reserves to keep up with power demand.

The only exception is ERCOT, covering 90% of the electric load in Texas, where a 9% reserve margin is expected, below the desired 14%.

Last summer, however, ERCOT’s reserve margin also was below the desired level, yet the grid operator maintained system reliability with no load curtailments.

Simply put, other states are very lucky that Texas has been able to maintain gas at 50% of its generation, despite being more than justified to drastically increase that.

At about 1,600 Bcf per year, the flatness of gas for power demand in Texas since 2000 has been truly remarkable, especially since Lone Star State production is up 50% since then.

Increasingly, other U.S. states (and even countries) are wanting to import huge amounts of gas from Texas, a state that yields over 25% of all U.S. output.

Yet if Texas justifiably ever wants to utilize more of its own gas, others would be significantly impacted.

At ~480 TWh per year, if Texas was a country, it would be 9th globally for power use, even ahead of Brazil, a fast growing economy with 212 million people, and France, a developed economy with 68 million people.

In the near-term, this explains why a sweltering prolonged heat wave in July in Texas, with a hot Houston summer setting new electricity records, is the critical factor that could push up still very low gas prices.

But for California, our second highest gas using state, above-average snowpack should provide a stronger hydropower for this summer season relative to 2018.

Combined, Texas and California consume about 25% of U.S. gas, with Texas' use double that of California.

Across the U.S., gas could supply a record 40-43% of U.S. electricity this summer even as the EIA expects solar and wind to be larger sources of generation across the mix

Our gas used for power has increased 35-40% over the past five years, and January power generation also jumped on the year, highlighting broad momentum.

Our gas used for power has increased 35-40% over the past five years. DATA SOURCE: EIA; JTC

Indeed, U.S. natural gas for electricity has continued to soar, even as overall electricity consumption has trended lower in some years, at nearly 10,700 Bcf last year, a 16% rise from 2017 and easily the highest ever.

Gas is expected to supply 37% of U.S. power this year, even as coal-fired generation saw a brief uptick in 2021 in EIA data, versus 27% just five years ago (see Figure).

Capacity wise, gas is sure to continue to surge its share 45% share of the U.S. power system.

"More than 60% of electric generating capacity installed in 2018 was fueled by natural gas."

We know that natural gas will continue to be the go-to power source: coal and nuclear plants are retiring, and while growing, wind and solar are too intermittent, geography limited, and transmission short to compensate like natural gas can.

"U.S. coal power capacity has fallen by a third since 2010," and last year "16 gigawatts (16,000 MW) of U.S. coal-fired power plants retired."

This year, some 2,000 MW of coal was retired in February alone, with 7,420 MW expected to be closed in 2019.

Ditto for nuclear.

Nuclear retirements this year include Pilgrim, Massachusetts’s only nuclear plant, and Three Mile Island in Pennsylvania.

This will take a combined ~1,600 MW of nuclear capacity offline.

Another 2,500 MW and 4,300 MW of nuclear are expected to be leaving the U.S. power system in 2020 and 2021, respectively.

As more nuclear plants close, EIA projects that net electricity generation from U.S. nuclear power reactors will fall by 17% by 2025.

From 2019-2025 alone, EIA expects U.S. coal capacity to plummet nearly 25% to 176,000 MW, with nuclear falling 15% to 83,000 MW.

In contrast, new combined cycle gas plants will grow capacity almost 30% to around 310,000 MW.

Lower and lower projected commodity prices for gas encourage this immense gas build-out, not to mention non-stop increases in efficiency for gas-based units.

Remember that these are official U.S. Department of Energy estimates, not coming from the industry itself.

In other words, our Department of Energy concludes that gas is the future.

Our hotter and hotter summers are therefore more and more becoming: "summers for natural gas"

Ultimately, this shows why the anti-pipeline movement is so dangerous.

"Affordable Energy Coalition Highlights Ripple Effect of Natural Gas Moratorium."

In April, President Trump signed two executive orders to promote energy infrastructure by directing federal agencies to remove bottlenecks for gas transport into the Northeast in particular, where New England oil-fired generation has spiked, and to streamline federal reviews of border-crossing pipelines and other infrastructure.

Builders, however, are not relying on outside help: all they know is that more U.S. gas demand is a constant, so more infrastructure is mandatory.

They are moving forward diligently: for example, there are now some 27 pipelines worth $33 billion already in the works in Appalachia.

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Medicine Hat Smart Grid AI modernizes electricity distribution with automation, sensors, and demand response, enhancing energy efficiency and renewable integration while using predictive analytics and real-time data to reduce consumption and optimize grid operations.

Key Points

An initiative using smart grid tech and AI to optimize energy use, cut waste, and improve renewable integration.

✅ Predictive analytics forecast demand to balance load and prevent outages.

✅ Automation, sensors, and meters enable dynamic, resilient distribution.

✅ Integrates solar and wind with demand response to cut emissions.

The city of Medicine Hat, Alberta, is taking bold steps toward enhancing its energy infrastructure and reducing electricity consumption with the help of innovative technology. Recently, several grant winners have been selected to improve the city's electricity grid distribution and leverage artificial intelligence (AI) to adapt to electricity demands while optimizing energy use. These projects promise to not only streamline energy delivery but also contribute to more sustainable practices by reducing energy waste.

Advancing the Electricity Grid

Medicine Hat’s electricity grid is undergoing a significant transformation, thanks to a new set of initiatives funded by government grants that advance a smarter electricity infrastructure vision for the region. The city has long been known for its commitment to sustainable energy practices, and these new projects are part of that legacy. The winners of the grants aim to modernize the city’s electricity grid to make it more resilient, efficient, and adaptable to the changing demands of the future, aligning with macrogrid strategies adopted nationally.

At the core of these upgrades is the integration of smart grid technologies. A smart grid is a more advanced version of the traditional power grid, incorporating digital communications and real-time data to optimize the delivery and use of electricity. By connecting sensors, meters, and control systems across the grid, along with the integration of AI data centers where appropriate, the grid can detect and respond to changes in demand, adjust to faults or outages, and even integrate renewable energy sources more efficiently.

One of the key aspects of the grant-funded projects involves automating the grid. Automation allows for the dynamic adjustment of power distribution in response to changes in demand or supply, reducing the risk of blackouts or inefficiencies. For instance, if an area of the city experiences a surge in energy use, the grid can automatically reroute power from less-used areas or adjust the distribution to avoid overloading circuits. This kind of dynamic response is crucial for maintaining a stable and reliable electricity supply.

Moreover, the enhanced grid will be able to better incorporate renewable energy sources such as solar and wind power, reflecting British Columbia's clean-energy shift as well, which are increasingly important in Alberta’s energy mix. By utilizing a more flexible and responsive grid, Medicine Hat can make the most of renewable energy when it is available, reducing reliance on non-renewable sources.

Using AI to Reduce Energy Consumption

While improving the grid infrastructure is an essential first step, the real innovation comes in the form of using artificial intelligence (AI) to reduce energy consumption. Several of the grant winners are focused on developing AI-driven solutions that can predict energy demand patterns, optimize energy use in real-time, and encourage consumers to reduce unnecessary energy consumption.

AI can be used to analyze vast amounts of data from across the electricity grid, such as weather forecasts, historical energy usage, and real-time consumption data. This analysis can then be used to make predictions about future energy needs. For example, AI can predict when the demand for electricity will peak, allowing the grid operators to adjust supply ahead of time, ensuring a more efficient distribution of power. By predicting high-demand periods, AI can also assist in optimizing the use of renewable energy sources, ensuring that solar and wind power are utilized when they are most abundant.

In addition to grid management, AI can help consumers save energy by making smarter decisions about how and when to use electricity. For instance, AI-powered smart home devices can learn household routines and adjust heating, cooling, and appliance usage to reduce energy consumption without compromising comfort. By using data to optimize energy use, these technologies not only reduce costs for consumers but also decrease overall demand on the grid, leading to a more sustainable energy system.

The AI initiatives are also expected to assist businesses in reducing their carbon footprints. By using AI to monitor and optimize energy use, industrial and commercial enterprises can cut down on waste and reduce energy-related operational costs, while anticipating digital load growth signaled by an Alberta data centre agreement in the province. This has the potential to make Medicine Hat a more energy-efficient city, benefiting both residents and businesses alike.

A Sustainable Future

The integration of smart grid technology and AI-driven solutions is positioning Medicine Hat as a leader in sustainable energy practices. The city’s approach is focused not only on improving energy efficiency and reducing waste but also on making electricity consumption more manageable and adaptable in a rapidly changing world. These innovations are a crucial part of Medicine Hat's long-term strategy to reduce carbon emissions and meet climate goals while ensuring reliable and affordable energy for its residents.

In addition to the immediate benefits of these projects, the broader impact is likely to influence other municipalities across Canada, including insights from Toronto's electricity planning for rapid growth, and beyond. As the technology matures and proves successful, it could set a benchmark for other cities looking to modernize their energy grids and adopt sustainable, AI-driven solutions.

By investing in these forward-thinking technologies, Medicine Hat is not only future-proofing its energy infrastructure but also taking decisive steps toward a greener, more energy-efficient future. The collaboration between local government, technology providers, and the community marks a significant milestone in the city’s commitment to innovation and sustainability.

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Senate Renewable Energy Tax Credits face Finance Committee scrutiny, with Democrats urging action on tax extenders, clean energy incentives, and climate policy, while Republicans cite prior wins in wind, biodiesel, and EV credits.

Key Points

Legislative incentives debated in the Senate Finance Committee to extend and align clean energy tax benefits.

✅ Democrats press hearings and action on energy tax policy

✅ Focus on clean energy, EVs, wind, biodiesel, and resilience

✅ Grassley cites prior extenders; disputes push for bigger subsidies

A group of 27 Democratic senators is calling for action in the Senate Finance Committee on extending energy-related tax credits and examining new tax proposals, especially those that incentivize renewable energy projects and align with FERC action on aggregated DERs across the grid.

Sen. Ron Wyden, D-Ore., the ranking Democrat on the Senate Finance Committee, who recently introduced a wildfire-resilient grid bill with Sen. Merkley, led the group of Democrats in writing a letter Tuesday to Sen. Charles Grassley, R-Iowa, who chairs the committee.

“Despite numerous opportunities, including in the recent tax extenders package, the Finance Committee has failed to take action on the dozens of energy tax proposals pending before it,” they wrote. “It is critical that the Committee move to address these issues in a timely manner, along with much needed policy changes that heed warnings on regulatory rollbacks to combat the damage and growing dangers caused by global climate change.”

The number of Americans ages 65 and over is projected to nearly double by 2060. And most would prefer to age in place and hiresenior caregivers if needed.

They pointed out that the Senate Finance Committee hasn’t held a single hearing on energy tax policy during the previous congressional term, and has yet to hold one in the current one.

“The sole energy tax-related recommendation of the Committee’s temporary policy task forces was ignored in the tax extender legislation passed in December 2019, along with nearly all proposals put forward in members’ legislation this Congress,” they wrote. “This Committee must fulfill its role in examining members’ energy tax proposals and in bolstering our nation’s efforts to combat climate change, including a clean electricity standard approach that sets firm targets.”

They noted that In 2019, the global average temperature was the second highest ever recorded and the past decade was the hottest ever. The lawmakers pointed to raging wildfires and increased flooding in the western part of the U.S., as well as challenges in California’s power system during the transition, causing unprecedented destruction over the past several years. They called for tax incentives for renewable energy to help combat climate change.

“Gaps in the tax code have disadvantaged complementary technologies that could improve climate resiliency and provide additional emissions reductions,” they wrote. “While power sector emissions continue to decrease, emissions from transportation, heavy industry and agriculture have stayed level or increased over the past 10 years, even amid $5 gas not spurring a green shift in consumer behavior. The United States is not on pace to meet its international climate commitments, to say nothing of the reductions necessary to stave off the worst potential outcomes of global warming.”

Grassley reacted to the letter, noting that he had worked to get tax extenders legislation passed, even as some states consider bans on clean energy use by utilities. "I begged Democrats for a year to help me get an extenders package passed, about half of which were green energy policies, so this rings hollow," he said in a statement Tuesday. "We wouldn’t have a wind energy credit or a biodiesel credit but for me, let alone an extension of either. Democrats were holding up these green energy provisions in an attempt to get a big expansion of taxpayer subsidies for rich Tesla owners."

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Ireland 65% Renewable Grid Capability showcases world leading integration of intermittent wind and solar, smart grid flexibility, EU-SysFlex learnings, and the Celtic Interconnector to enhance stability, exports, and energy security across the European grid.

Key Points

Ireland can run its isolated power system with 65% variable wind and solar, informing EU grid integration and scaling.

✅ 65% system non-synchronous penetration on an isolated grid

✅ EU-SysFlex roadmap supports large-scale renewables integration

✅ Celtic Interconnector adds 700MW capacity and stability

Ireland is now able to cope with 65% of its electricity coming from intermittent electricity sources like wind and solar, as highlighted by Ireland's green electricity outlook today – an expertise Energy Minister Denish Naugthen believes can be replicated on a larger scale as Europe moves towards 50% renewable power by 2030.

Denis Naughten is an Irish politician who serves as Minister for Communications, Climate Action and Environment since May 2016.

Naughten spoke to editor Frédéric Simon on the sidelines of a EURACTIV event in the European  Parliament to mark the launch of EU-SysFlex, an EU-funded project, which aims to create a long-term roadmap for the large-scale integration of renewable energy on electricity grids.

What is the reason for your presence in Brussels today and the main message that you came to deliver?

The reason that I’m here today is that we’re going to share the knowledge what we have developed in Ireland, right across Europe. We are now the global leaders in taking variable renewable electricity like wind and solar onto our grid.

We can take a 65% loading on to the grid today – there is no other isolated grid in the world that can do that. We’re going to get up to 75% by 2020. This is a huge technical challenge for any electricity grid and it’s going to be a problem that is going to grow and grow across Europe, even as Europe's electricity demand rises in the coming years, as we move to 50% renewables onto our grid by 2030.

And our knowledge and understanding can be used to help solve the problems right across Europe. And the sharing of technology can mean that we can make our own grid in Ireland far more robust.

What is the contribution of Ireland when it comes to the debate which is currently taking place in Europe about raising the ambition on renewable energy and make the grid fit for that? What are the main milestones that you see looking ahead for Europe and Ireland?

It is a challenge for Europe to do this, but we’ve done it Ireland. We have been able to take a 65% loading of wind power on our grid, with Irish wind generation hitting records recently, so we can replicate that across Europe.

Yes it is about a much larger scale and yes, we need to work collaboratively together, reflecting common goals for electricity networks worldwide – not just in dealing with the technical solutions that we have in Ireland at the fore of this technology, but also replicating them on a larger scale across Europe.

And I believe we can do that, I believe we can use the learnings that we have developed in Ireland and amplify those to deal with far bigger challenges that we have on the European electricity grid.

Trialogue talks have started at European level about the reform of the electricity market. There is talk about decentralised energy generation coming from small-scale producers. Do you see support from all the member states in doing that? And how do you see the challenges ahead on a political level to get everyone on board on such a vision?

I don’t believe there is a political problem here in relation to this. I think there is unanimity across Europe that we need to support consumers in producing electricity for self-consumption and to be able to either store or put that back into the grid.

The issues here are more technical in nature. And how you support a grid to do that. And who actually pays for that. Ireland is very much a microcosm of the pan-European grid and how we can deal with those challenges.

What we’re doing at the moment in Ireland is looking at a pilot scheme to support consumers to generate their own electricity to meet their own needs and to be able to store that on site.

I think in the years to come a lot of that will be actually done with more battery storage in the form of electric vehicles and people would be able to transport that energy from one location to another as and when it’s needed. In the short term, we’re looking at some novel solutions to support consumers producing their own electricity and meeting their own needs.

So I think this is complex from a technical point of view at the moment, I don’t think there is an unwillingness from a political perspective to do it, and I think working with this particular initiative and other initiatives across Europe, we can crack those technical challenges.

To conclude, last year, the European Commission allocated €4 million to a project to link up the Irish electricity grid to France. How is that going to benefit Ireland? And is that related to worries that you may have over Brexit?

The plan, which is called the Celtic Interconnector, is to link France with the Irish electricity grid. It’s going to have a capacity of about 700MW. It allows us to provide additional stability on our grid and enables us to take more renewables onto the grid. It also allows us to export renewable electricity onto the main European grid as well, and provide stability to the French network.

So it’s a benefit to both individual networks as well as allowing far more renewables onto the grid. We’ve been working quite closely with RTE in France and with both regulators. We’re hoping to get the support of the European Commission to move it now from the design stage onto the construction stage. And I understand discussions are ongoing with the Commission at present with regard to that.

And that is going to diversify potential sources of electricity coming in for Ireland in a situation which is pretty uncertain because of Brexit, correct?

Well, I don’t think there is uncertainty because of Brexit in that we have agreements with the United Kingdom, we’re still going to be part of the broader energy family in relation to back-and-forth supply across the Irish Sea, with grid reinforcements in Scotland underscoring reliability needs.  But I think it is important in terms of meeting the 15% interconnectivity that the EU has set in relation to electricity.

And also in relation of providing us with an alternative support in relation to electricity supply outside of Britain. Because Britain is now leaving the European Union and I think this is important from a political point of view, and from a broader energy security point of view. But we don’t see it in the short term as causing threats in relation to security of supply.

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Germany's Joint Onshore Wind and Solar Tender invites 200 MW bids in an EEG auction, with PV and onshore wind competing on price per MWh, including grid integration costs and network fees under BNA rules.

Key Points

A BNA-run 200 MW EEG auction where PV and onshore wind compete on price per MWh, including grid integration costs.

✅ 200 MW cap; minimum project size 750 kW

✅ Max subsidy 87.50 per MWh; bids include network costs

✅ Solar capped at 10-20 MW; wind requires prior approval

Germany's Federal Network Agency (BNA) has launched its second joint onshore wind and solar photovoltaic (PV) tender, with a total capacity of 200 MW.

A maximum guaranteed subsidy payment has been set at 87.50 per MWh for both energy sources, which BNA says will have to compete against each other for the lowest price of electricity. According to auction rules, all projects must have a minimum of 750 kW.

The auction is due to be completed on 2 November.

The network regulator has capped solar projects at 10 MW, though this has been extended to 20 MW in some districts, amid calls to remove barriers to PV at the federal level. Onshore wind projects did not receive any such restrictions, though they require approval from Federal Immission Control three weeks prior to the bid date of 11 Octobe

Bids also require network and system integration costs to be included, and similar solicitations have been heavily subscribed, as an over-subscribed Duke Energy solar solicitation in the US market illustrates.

According to Germanys Renewable Energy Act (EEG), two joint onshore wind and solar auctions must take place each year between 2018 and 2021. After this, the government will review the scheme and decide whether to continue it beyond 2021.

The first tender, conducted in April, saw the entire 200 MW capacity given to solar PV projects, reflecting a broader solar power boost in Germany during the energy crisis. Of the 32 contracts awarded, value varied from 39.60 per MWh to 57.60 per MWh. Among the winning bids were five projects in agricultural and grassland sites in Bavaria, totalling 31 MW, and three in Baden-Wrttemberg at 17 MW.

According to the Agency, the joint tender scheme was initiated in an attempt to determine the financial support requirements for wind and solar in technology-specific auctions, however, solar powers sole win in the April auction meant it was met with criticism, even as clean energy accounts for 50% of Germany's electricity today.

The heads of the Federal Solar Industry Association (BSW-Solar) and German Wind Energy Association (BWE) saying the joint tender scheme is unsuitable for the build-out of the two technologies.

A BWE spokesman previously stressed the companys rejection of competition between wind and solar, saying: It is not clear how this could contribute to an economically meaningful balanced energy mix,

Technologies that are in various stages of development must not enter into direct competition with each other. Otherwise, innovation and development potential will be compromised.

Similarly, BSW-Solar president Carsten Krnig said: We are happy for the many solar winners, but consider the experiment a failure. The auction results prove the excellent price-performance ratio of new solar power plants, as solar-plus-storage is cheaper than conventional power in Germany, but not the suitability of joint tenders.

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