Candidate wants coal-fired plant rejected

Infrastructure Security Algorithm prioritizes cyber defense for power grids and critical infrastructure, mitigating ransomware, blackout risks, and cascading failures by guiding utilities, regulators, and cyber insurers on optimal security investment allocation.

Key Points

An algorithm that optimizes security spending to cut ransomware and blackout risks across critical infrastructure.

✅ Guides utilities on optimal security allocation

✅ Uses incentives to correct human risk biases

✅ Prioritizes assets to prevent cascading outages

Millions of people could suddenly lose electricity if a ransomware attack just slightly tweaked energy flow onto the U.S. power grid, as past US utility intrusions have shown.

No single power utility company has enough resources to protect the entire grid, but maybe all 3,000 of the grid's utilities could fill in the most crucial security gaps if there were a map showing where to prioritize their security investments.

Purdue University researchers have developed an algorithm to create that map. Using this tool, regulatory authorities or cyber insurance companies could establish a framework for protecting the U.S. power grid that guides the security investments of power utility companies to parts of the grid at greatest risk of causing a blackout if hacked.

Power grids are a type of critical infrastructure, which is any network - whether physical like water systems or virtual like health care record keeping - considered essential to a country's function and safety. The biggest ransomware attacks in history have happened in the past year, affecting most sectors of critical infrastructure in the U.S. such as grain distribution systems in the food and agriculture sector and the Colonial Pipeline, which carries fuel throughout the East Coast, prompting increased military preparation for grid hacks in the U.S.

With this trend in mind, Purdue researchers evaluated the algorithm in the context of various types of critical infrastructure in addition to the power sector, including electricity-sector IoT devices that interface with grid operations. The goal is that the algorithm would help secure any large and complex infrastructure system against cyberattacks.

"Multiple companies own different parts of infrastructure. When ransomware hits, it affects lots of different pieces of technology owned by different providers, so that's what makes ransomware a problem at the state, national and even global level," said Saurabh Bagchi, a professor in the Elmore Family School of Electrical and Computer Engineering and Center for Education and Research in Information Assurance and Security at Purdue. "When you are investing security money on large-scale infrastructures, bad investment decisions can mean your power grid goes out, or your telecommunications network goes out for a few days."

Protecting infrastructure from hacks by improving security investment decisions

The researchers tested the algorithm in simulations of previously reported hacks to four infrastructure systems: a smart grid, industrial control system, e-commerce platform and web-based telecommunications network. They found that use of this algorithm results in the most optimal allocation of security investments for reducing the impact of a cyberattack.

The team's findings appear in a paper presented at this year's IEEE Symposium on Security and Privacy, the premier conference in the area of computer security. The team comprises Purdue professors Shreyas Sundaram and Timothy Cason and former PhD students Mustafa Abdallah and Daniel Woods.

"No one has an infinite security budget. You must decide how much to invest in each of your assets so that you gain a bump in the security of the overall system," Bagchi said.

The power grid, for example, is so interconnected that the security decisions of one power utility company can greatly impact the operations of other electrical plants. If the computers controlling one area's generators don't have adequate security protection, as seen when Russian hackers accessed control rooms at U.S. utilities, then a hack to those computers would disrupt energy flow to another area's generators, forcing them to shut down.

Since not all of the grid's utilities have the same security budget, it can be hard to ensure that critical points of entry to the grid's controls get the most investment in security protection.

The algorithm that Purdue researchers developed would incentivize each security decision maker to allocate security investments in a way that limits the cumulative damage a ransomware attack could cause. An attack on a single generator, for instance, would have less impact than an attack on the controls for a network of generators, which sophisticated grid-disruption malware can target at scale, rather than for the protection of a single generator.

Building an algorithm that considers the effects of human behavior

Bagchi's research shows how to increase cybersecurity in ways that address the interconnected nature of critical infrastructure but don't require an overhaul of the entire infrastructure system to be implemented.

As director of Purdue's Center for Resilient Infrastructures, Systems, and Processes, Bagchi has worked with the U.S. Department of Defense, Northrop Grumman Corp., Intel Corp., Adobe Inc., Google LLC and IBM Corp. on adopting solutions from his research. Bagchi's work has revealed the advantages of establishing an automatic response to attacks, and analyses like Symantec's Dragonfly report highlight energy-sector risks, leading to key innovations against ransomware threats, such as more effective ways to make decisions about backing up data.

There's a compelling reason why incentivizing good security decisions would work, Bagchi said. He and his team designed the algorithm based on findings from the field of behavioral economics, which studies how people make decisions with money.

"Before our work, not much computer security research had been done on how behaviors and biases affect the best defense mechanisms in a system. That's partly because humans are terrible at evaluating risk and an algorithm doesn't have any human biases," Bagchi said. "But for any system of reasonable complexity, decisions about security investments are almost always made with humans in the loop. For our algorithm, we explicitly consider the fact that different participants in an infrastructure system have different biases."

To develop the algorithm, Bagchi's team started by playing a game. They ran a series of experiments analyzing how groups of students chose to protect fake assets with fake investments. As in past studies in behavioral economics, they found that most study participants guessed poorly which assets were the most valuable and should be protected from security attacks. Most study participants also tended to spread out their investments instead of allocating them to one asset even when they were told which asset is the most vulnerable to an attack.

Using these findings, the researchers designed an algorithm that could work two ways: Either security decision makers pay a tax or fine when they make decisions that are less than optimal for the overall security of the system, or security decision makers receive a payment for investing in the most optimal manner.

"Right now, fines are levied as a reactive measure if there is a security incident. Fines or taxes don't have any relationship to the security investments or data of the different operators in critical infrastructure," Bagchi said.

In the researchers' simulations of real-world infrastructure systems, the algorithm successfully minimized the likelihood of losing assets to an attack that would decrease the overall security of the infrastructure system.

Bagchi's research group is working to make the algorithm more scalable and able to adapt to an attacker who may make multiple attempts to hack into a system. The researchers' work on the algorithm is funded by the National Science Foundation, the Wabash Heartland Innovation Network and the Army Research Lab.

Cybersecurity is an area of focus through Purdue's Next Moves, a set of initiatives that works to address some of the greatest technology challenges facing the U.S. Purdue's cybersecurity experts offer insights and assistance to improve the protection of power plants, electrical grids and other critical infrastructure.

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France 2025–2035 Energy Roadmap accelerates carbon neutrality via renewables expansion, energy efficiency, EV adoption, heat pumps, hydrogen, CCS, nuclear buildout, and wind and solar targets, cutting fossil fuels and emissions across transport, housing, industry.

Key Points

A national plan to cut fossil use and emissions, boost renewables, and scale efficiency and clean technologies.

✅ Cuts fossil share to 30% by 2035 with efficiency gains

✅ Scales solar PV and wind; revives nuclear with EPR 2

✅ Electrifies transport and industry with EVs, hydrogen, CCS

Paris is on the verge of finalising its energy roadmap for the period 2025–2035, with an imminent decree expected to be published by the end of the first quarter of 2025. This roadmap is part of France's broader strategy to achieve carbon neutrality by 2050, aligning with wider moves toward clean electricity regulations in other jurisdictions.

Key Objectives of the Roadmap

The energy roadmap outlines ambitious targets for reducing greenhouse gas emissions across various sectors, including transport, housing, food, and energy. The primary goals are:

• Reducing Fossil Fuel Dependency: Building on the EU's plan to dump Russian energy, the share of fossil fuels in final energy consumption is to fall from 60% in 2022 to 42% in 2030 and 30% in 2035.

• Enhancing Energy Efficiency: A target of a 28.6% reduction in energy consumption between 2012 and 2030 is set, focusing on conservation and energy efficiency measures.

• Expanding Decarbonised Energy Production: The roadmap aims to accelerate the development of renewable energies and the revival.

Sector-Specific Targets

• Transport: The government aims to cut emissions by 31, focusing on the growth of electric vehicles, increasing public transport, and expanding charging infrastructure.

• Housing: Emissions from buildings are to be reduced by 44%, with plans to replace 75% of oil-fired and install 1 million heat pumps.

• Agriculture and Food: The roadmap includes measures to reduce emissions from agriculture by 9%, promoting organic farming and reducing the use of nitrogen fertilizers.

• Industry: A 37% reduction in emissions is targeted through the use of electricity, biomass, hydrogen, and CO₂ capture and storage technologies informed by energy technology pathways outlined in ETP 2017.

Renewable Energy Targets

The roadmap sets ambitious targets for renewable energy production that align with Europe's ongoing electricity market reform efforts:

• Photovoltaic Power: A sixfold increase in photovoltaic power between 2022

• Offshore Wind Power: Reaching 18 gigawatts up from 0.6 GW

• Onshore Wind Power: Doubling capacity from 21 GW to 45 GW over the same period.

• Nuclear Power: The commissioning of the evolutionary power and the construction of six EPR 2 reactors, underpinned by France's deal on electricity prices with EDF to support long-term investment, with the potential for eight more.
   

Implementation and Governance

The final version of the roadmap will be adopted by decree, alongside a proposed electricity pricing scheme to address EU concerns, rather than being enshrined in law as required by the Energy Code. The government had previously abandoned the energy-climate planning. The decree is expected to be published at the end of the Multiannual Energy Program (PPE) and in the second half of the third National Low-Carbon Strategy (SNBC).

Paris's finalisation of its energy roadmap for 2025–2035 marks a significant step towards achieving carbon neutrality by 2050. The ambitious targets set across various sectors reflect a comprehensive approach to reducing greenhouse gas emissions and transitioning to a more sustainable energy system amid the ongoing EU electricity reform debate shaping market rules. The imminent decree will provide the legal framework necessary to implement these plans and drive the necessary changes across the country.

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Uranium Critical Mineral Reclassification signals a US executive order directing USGS to restore critical status, boosting nuclear energy, domestic uranium mining, streamlined permitting, federal support, and energy security amid import reliance and supply chain risks.

Key Points

A policy relisting uranium as a critical mineral to unlock funding, speed permits, and strengthen U.S. nuclear security.

✅ Directs Interior to have USGS reconsider uranium classification

✅ Speeds permits for domestic uranium mining projects

✅ Targets import dependence and strengthens energy security

In a strategic move to bolster the United States' nuclear energy sector, former President Donald Trump issued an executive order on January 20, 2025, directing the Secretary of the Interior to instruct the U.S. Geological Survey (USGS) to reconsider classifying uranium as a critical mineral. This directive aims to enhance federal support and streamline permitting processes for domestic uranium projects, thereby strengthening U.S. energy security objectives.

Reclassification of Uranium as a Critical Mineral

The USGS had previously removed uranium from its critical minerals list in 2022, categorizing it as a "fuel mineral" that did not qualify for such designation. The recent executive order seeks to reverse this decision, recognizing uranium's strategic importance in the context of the nation's energy infrastructure and geopolitical considerations.

Implications for Domestic Uranium Production

Reclassifying uranium as a critical mineral is expected to unlock federal funding and expedite the permitting process for uranium mining projects within the United States. This initiative is particularly pertinent given the significant decline in domestic uranium production over the past two decades. According to the U.S. Energy Information Administration, domestic production has decreased by 96%, from 4.8 million pounds in 2014 to approximately 121,296 pounds in the third quarter of 2024.

Current Uranium Supply Dynamics

Despite the push for increased domestic production, the U.S. remains heavily reliant on uranium imports. In 2022, 27% of U.S. uranium purchases were sourced from Canada, with an additional 57% imported from countries including Kazakhstan, Uzbekistan, Australia, and Russia; a recent ban on Russian uranium could further disrupt these supply patterns and heighten risks. This reliance on foreign sources has raised concerns about energy security, especially in light of recent geopolitical tensions.

Challenges and Considerations

While the executive order represents a significant step toward revitalizing the U.S. nuclear energy sector, several challenges persist, and energy dominance faces constraints that will shape implementation:

• Regulatory Hurdles: Accelerating the permitting process for uranium mining projects involves navigating complex environmental and regulatory frameworks, though recent permitting reforms for geothermal hint at potential pathways, which can be time-consuming and contentious.

• Market Dynamics: The uranium market is subject to global supply and demand fluctuations, and domestic producers may face competition from established international suppliers.

• Infrastructure Development: Expanding domestic uranium production necessitates substantial investment in mining infrastructure and workforce development, areas that have been underfunded in recent years.

Broader Implications for Nuclear Energy Policy

The executive order aligns with a broader strategy to revitalize the U.S. nuclear energy industry, where ongoing nuclear innovation is critical to delivering stable, low-emission power. The increasing demand for nuclear energy is driven by the global push for zero-emissions energy sources and the need to support power-intensive technologies, such as artificial intelligence servers.

Former President Trump's executive order to reclassify uranium as a critical mineral, aligning with his broader energy agenda and a prior pledge to end the 'war on coal', signifies a pivotal moment for the U.S. nuclear energy sector. By potentially unlocking federal support, including programs advanced by the Nuclear Innovation Act, and streamlining permitting processes, this initiative aims to reduce dependence on foreign uranium sources and enhance national energy security. However, realizing these objectives will require addressing regulatory challenges, market dynamics, and infrastructure needs to ensure the successful revitalization of the domestic uranium industry.

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Smart EV Charging orchestrates vehicle-to-grid (V2G), demand response, and fast charging to balance the power grid, integrating renewables, electrolyzers for hydrogen, and megawatt chargers for fleets with advanced control and co-optimization.

Key Points

Smart EV charging coordinates EV load to stabilize the grid, cut peaks, and integrate renewable energy efficiently.

✅ Reduces peak demand via coordinated, flexible load control

✅ Enables V2G services with renewables and battery storage

✅ Supports megawatt fast charging for heavy-duty fleets

As electric vehicle (EV) sales continue to rev up in the United States, the power grid is in parallel contending with the greatest transformation in its 100-year history: the large-scale integration of renewable energy and power electronic devices. The expected expansion of EVs will shift those challenges into high gear, causing cities to face gigawatt-growth in electricity demand, as analyses of EV grid impacts indicate, and higher amounts of variable energy.

Coordinating large numbers of EVs with the power system presents a highly complex challenge. EVs introduce variable electrical loads that are highly dependent on customer behavior. Electrified transportation involves co-optimization with other energy systems, like natural gas and bulk battery storage, including mobile energy storage flexibility for new operational options. It could involve fleets of automated ride-hailing EVs and lead to hybrid-energy truck stops that provide hydrogen and fast-charging to heavy-duty vehicles.

Those changes will all test the limits of grid integration, but the National Renewable Energy Laboratory (NREL) sees opportunity at the intersection of energy systems and transportation. With powerful resources for simulating and evaluating complex systems, several NREL projects are determining the coordination required for fast charging, balancing electrical supply and demand, and efficient use of all energy assets.

Smart and Not-So-Smart Control
To appreciate the value of coordinated EV charging, it is helpful to imagine the opposite scenario.

"Our first question is how much benefit or burden the super simple, uncoordinated approach to electric vehicle charging offers the grid," said Andrew Meintz, the researcher leading NREL's Electric Vehicle Grid Integration team, as well as the RECHARGE project for smart EV charging. "Then we compare that to the 'whiz-bang,' everything-is-connected approach. We want to know the difference in value."

In the "super simple" approach, Meintz explained that battery-powered electric vehicles grow in market share, exemplified by mass-market EVs, without any evolution in vehicle charging coordination. Picture every employee at your workplace driving home at 5 p.m. and charging their vehicle. That is the grid's equivalent of going 0 to 100 mph, and if it does not wreck the system, it is at least very expensive. According to NREL's Electrification Futures Study, a comprehensive analysis of the impacts of widespread electrification across all U.S. economic sectors, in 2050 EVs could contribute to a 33% increase in energy use during peak electrical demand, underscoring state grid challenges that make these intervals costly when energy reserves are procured. In duck curve parlance, EVs will further strain the duck's neck.

The Optimization and Control Lab's Electric Vehicle Grid Integration bays allow researchers to determine how advanced high power chargers can be added safely and effectively to the grid, with the potential to explore how to combine buildings and EV charging. Credit: Dennis Schroeder, NREL
Meintz's "whiz-bang" approach instead imagines EV control strategies that are deliberate and serve to smooth, rather than intensify, the upcoming demand for electricity. It means managing both when and where vehicles charge to create flexible load on the grid.

At NREL, smart strategies to dispatch vehicles for optimal charging are being developed for both the grid edge, where consumers and energy users connect to the grid, as in RECHARGEPDF, and the entire distribution system, as in the GEMINI-XFC projectPDF. Both projects, funded by the U.S. Department of Energy's (DOE's) Vehicle Technologies Office, lean on advanced capabilities at NREL's Energy Systems Integration Facility to simulate future energy systems.

At the grid edge, EVs can be co-optimized with distributed energy resources—small-scale generation or storage technologies—the subject of a partnership with Eaton that brought industry perspectives to bear on coordinated management of EV fleets.

At the larger-system level, the GEMINI-XFC project has extended EV optimization scenarios to the city scale—the San Francisco Bay Area, to be specific.

"GEMINI-XFC involves the highest-ever-fidelity modeling of transportation and the grid," said NREL Research Manager of Grid-Connected Energy Systems Bryan Palmintier.

"We're combining future transportation scenarios with a large metro area co-simulationPDF—millions of simulated customers and a realistic distribution system model—to find the best approaches to vehicles helping the grid."

GEMINI-XFC and RECHARGE can foresee future electrification scenarios and then insert controls that reduce grid congestion or offset peak demand, for example. Charging EVs involves a sort of shell game, where loads are continually moved among charging stations to accommodate grid demand.

But for heavy-duty vehicles, the load is harder to hide. Electrified truck fleets will hit the road soon, creating power needs for electric truck fleets that translate to megawatts of localized demand. No amount of rerouting can avoid the requirements of charging heavy-duty vehicles or other instances of extreme fast-charging (XFC). To address this challenge, NREL is working with industry and other national laboratories to study and demonstrate the technological buildout necessary to achieve 1+ MW charging stationsPDF that are capable of fast charging at very high energy levels for medium- and heavy-duty vehicles.

To reach such a scale, NREL is also considering new power conversion hardware based on advanced materials like wide-bandgap semiconductors, as well as new controllers and algorithms that are uniquely suited for fleets of charge-hungry vehicles. The challenge to integrate 1+ MW charging is also pushing NREL research to higher power: Upcoming capabilities will look at many-megawatt systems that tie in the support of other energy sectors.

Renewable In-Roads for Hydrogen

At NREL, the drive toward larger charging demands is being met with larger research capabilities. The announcement of ARIES opens the door to energy systems integration research at a scale 10-times greater than current capabilities: 20 MW, up from 2 MW. Critically, it presents an opportunity to understand how mobility with high energy demands can be co-optimized with other utility-scale assets to benefit grid stability.

"If you've got a grid humming along with a steady load, then a truck requires 500 kW or more of power, it could create a large disruption for the grid," said Keith Wipke, the laboratory program manager for fuel cells and hydrogen technologies at NREL.

Such a high power demand could be partially served by battery storage systems. Or it could be hidden entirely with hydrogen production. Wipke's program, with support from the DOE's Hydrogen and Fuel Cell Technologies Office, has been performing studies into how electrolyzers—devices that use electricity to break water into hydrogen and oxygen—could offset the grid impacts of XFC. These efforts are also closely aligned with DOE's H2@Scale vision for affordable and effective hydrogen use across multiple sectors, including heavy-duty transportation, power generation, and metals manufacturing, among others.

"We're simulating electrolyzers that can match the charging load of heavy-duty battery electric vehicles. When fast charging begins, the electrolyzers are ramped down. When fast charging ends, the electrolyzers are ramped back up," Wipke said. "If done smoothly, the utility doesn't even know it's happening."

NREL Researchers Rishabh Jain, Kazunori Nagasawa, and Jen Kurtz are working on how grid integration of electrolyzers—devices that use electricity to break water into hydrogen and oxygen—could offset the grid impacts of extreme fast-charging. Credit: National Renewable Energy Laboratory
As electrolyzers harness the cheap electrons from off-demand periods, a significant amount of hydrogen can be produced on site. That creates a natural energy pathway from discount electricity into a fuel. It is no wonder, then, that several well-known transportation and fuel companies have recently initiated a multimillion-dollar partnership with NREL to advance heavy-duty hydrogen vehicle technologies.

"The logistics of expanding electric charging infrastructure from 50 kW for a single demonstration battery electric truck to 5,000 kW for a fleet of 100 could present challenges," Wipke said. "Hydrogen scales very nicely; you're basically bringing hydrogen to a fueling station or producing it on site, but either way the hydrogen fueling events are decoupled in time from hydrogen production, providing benefits to the grid."

The long driving range and fast refuel times—including a DOE target of achieving 10-minutes refuel for a truck—have already made hydrogen the standout solution for applications in warehouse forklifts. Further, NREL is finding that distributed electrolyzers can simultaneously produce hydrogen and improve voltage conditions, which can add much-needed stability to a grid that is accommodating more energy from variable resources.

Those examples that co-optimize mobility with the grid, using diverse technologies, are encouraging NREL and its partners to pursue a new scale of systems integration. Several forward-thinking projects are reimagining urban mobility as a mix of energy solutions that integrate the relative strengths of transportation technologies, which complement each other to fill important gaps in grid reliability.

The Future of Urban Mobility
What will electrified transportation look like at high penetrations? A few NREL projects offer some perspective. Among the most experimental, NREL is helping the city of Denver develop a smart community, integrated with electrified mobility and featuring automated charging and vehicle dispatch.

On another path to advanced mobility, Los Angeles has embarked on a plan to modernize its electricity system infrastructure, reflecting California EV grid stability goals—aiming for a 100% renewable energy supply by 2045, along with aggressive electrification targets for buildings and vehicles. Through the Los Angeles 100% Renewable Energy Study, the city is currently working with NREL to assess the full-scale impacts of the transition in a detailed analysis that integrates diverse capabilities across the laboratory.

The transition would include the Port of Long Beach, the busiest container port in the United States.

At the port, NREL is applying the same sort of scenario forecasting and controls evaluation as other projects, in order to find the optimal mix of technologies that can be integrated for both grid stability and a reliable quality of service: a mix of hydrogen fuel-cell and battery EVs, battery storage systems, on-site renewable generation, and extreme coordination among everything.

"Hydrogen at ports makes sense for the same reason as trucks: Marine applications have big power and energy demands," Wipke said. "But it's really the synergies between diverse technologies—the existing infrastructure for EVs and the flexibility of bulk battery systems—that will truly make the transition to high renewable energy possible."

Like the Port of Long Beach, transportation hubs across the nation are adapting to a complex environment of new mobility solutions. Airports and public transit stations involve the movement of passengers, goods, and services at a volume exceeding anywhere else. With the transition to digitally connected electric mobility changing how airports plan for the future, NREL projects such as Athena are using the power of high-performance computing to demonstrate how these hubs can maximize the value of passenger and freight mobility per unit of energy, time, and/or cost.

The growth in complexity for transportation hubs has just begun, however. Looking ahead, fleets of ride-sharing EVs, automated vehicles, and automated ride-sharing EV fleets could present the largest effort to manage mobility yet.

A Self-Driving Power Grid
To understand the full impact of future mobility-service providers, NREL developed the HIVE (Highly Integrated Vehicle Ecosystem) simulation framework. HIVE combines factors related to serving mobility needs and grid operations—such as a customer's willingness to carpool or delay travel, and potentially time-variable costs of recharging—and simulates the outcome in an integrated environment.

"Our question is, how do you optimize the management of a fleet whose primary purpose is to provide rides and improve that fleet's dispatch and charging?" said Eric Wood, an NREL vehicle systems engineer.

HIVE was developed as part of NREL's Autonomous Energy Systems research to optimize the control of automated vehicle fleets. That is, optimized routing and dispatch of automated electric vehicles.

The project imagines how price signals could influence dispatch algorithms. Consider one customer booking a commute through a ride-hailing app. Out of the fleet of vehicles nearby—variously charged and continually changing locations—which one should pick up the customer?

Now consider the movements of thousands of passengers in a city and thousands of vehicles providing transportation services. Among the number of agents, the moment-to-moment change in energy supply and demand, and the broad diversity in vendor technologies, "we're playing with a lot of parameters," Wood said.

But cutting through all the complexity, and in the midst of massive simulations, the end goal for vehicle-to-grid integration is consistent:

"The motivation for our work is that there are forecasts for significant load on the grid from the electrification of transportation," Wood said. "We want to ensure that this load is safely and effectively integrated, while meeting the expectations and needs of passengers."

The Port of Long Beach uses a mix of hydrogen fuel-cell and battery EVs, battery storage systems, on-site renewable generation, and extreme coordination among everything. Credit: National Renewable Energy Laboratory
True Replacement without Caveats

Electric vehicles are not necessarily helpful to the grid, but they can be. As EVs become established in the transportation sector, NREL is studying how to even out any bumps that electrified mobility could cause on the grid and advance any benefits to commuters or industry.

"It all comes down to load flexibility," Meintz said. "We're trying to decide how to optimally dispatch vehicle charging to meet quality-of-service considerations, while also minimizing charging costs."

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EU Renewable Energy Transition is accelerating under REPowerEU, as wind and solar generation hit records, improving energy security, efficiency, and decarbonization while reducing reliance on Russian fossil fuels across the EU grid.

Key Points

EU shift to wind and solar under REPowerEU to cut fossil fuels, boost efficiency, and secure energy supply.

✅ Wind and solar set record 22% of EU electricity in 2022

✅ REPowerEU targets over 40% renewables and 15% lower demand by 2030

✅ Diversifies away from Russian fuels; partners with US and Norway

Europe is producing all-time highs of wind and solar energy as the 27-country group works to reduce its reliance on fossil fuels from Russia, a shift underscored by Europe's green surge across the bloc.

Four months after Vladimir Putin’s full-scale invasion of Ukraine in February 2022, the European Commission launched REPowerEU. This campaign aims to:

• Boost the use of renewable energy.
• Reduce overall energy consumption.
• Diversify energy sources.

EU countries were already moving toward renewable energy, but Russia’s war against Ukraine accelerated that trend. In 2022, for the first time, renewables surpassed fossil fuels and wind and solar power surpassed gas as a source of electricity. Wind and solar provided a record-breaking 22% of EU countries’ electrical supply, according to London-based energy think tank Ember.

“We have to double down on investments in home-grown renewables,” European Commission President Ursula von der Leyen said in October 2022. “Not only for the climate but also because the transition to the clean energy is the best way to gain independence and to have security of energy supply.”

Across the continent, growth in solar generation rose by 25% in 2022, according to Ember, as solar reshapes electricity prices in Northern Europe. Twenty EU countries produced their highest share of solar power in 2022. In October, Greece ran entirely on renewables for several hours and is seven years ahead of schedule for its 2030 solar capacity target.

Meanwhile, Ireland's green electricity target aims to make more than a third of its power supply renewable within four years.

By 2030, RePowerEU aims to provide more than 40% of the EU’s total power from renewables, aligning with global renewable records being shattered worldwide.

To meet the European Commission’s goal to cut EU energy usage by 15%, people and governments changed their habits and became more energy-efficient, while Germany's solar power boost helped bolster supply. Among their actions:

• Germany turned down the heat in public buildings and lowered the cost of train tickets to reduce car usage, as clean energy hit 50% in Germany during this period.
• Spain ordered stores and public buildings to turn off their lights at night.
• France dimmed the Eiffel Tower and reduced city speed limits.

For the oil and gas that the EU still needed to import, countries turned to partners such as Norway and the United States.

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Just Transition for Coal and Nuclear Workers explains policy frameworks, compensation packages, retraining, and community support during decarbonization, plant closures, and energy shifts across Europe and the U.S., including Diablo Canyon and Uniper strategies.

Key Points

A policy approach to protect and retrain legacy power workers as coal and nuclear plants retire during decarbonization.

✅ Germany and Spain fund closures with compensation and retraining.

✅ U.S. lacks federal support; Diablo Canyon is a notable exception.

✅ Firms like Uniper convert coal sites to gas and clean energy roles.

The coronavirus pandemic has not changed the grim reality facing workers at coal and nuclear power plants in the U.S. and Europe. How those workers will fare in the years ahead will vary greatly based on where they live and the prevailing political winds.

In Europe, the retirement of aging plants is increasingly seen as a matter of national concern. Germany this year agreed to a €40 billion ($45 billion) compensation package for workers affected by the country's planned phaseout of coal generation by 2038, amid its broader exit from nuclear power as part of its energy transition. Last month the Spanish authorities agreed on a just transition plan affecting 2,300 workers across 12 thermal power plants that are due to close this year.

In contrast, there is no federal support plan for such workers in the U.S., said Tim Judson, executive director at the Maryland-based Nuclear Information and Resource Service, which lobbies for an end to nuclear and fossil-fuel power.

For all of President Donald Trump’s professed love of blue-collar workers in sectors such as coal, “where there are economic transitions going on, we’re terrible at supporting workers and communities,” Judson said of the U.S. Even at the state level, support for such workers is "almost nonexistent,” he said, “although there are a lot of efforts going on right now to start putting in place just transition programs, especially for the energy sector.”

One example that stands out in the U.S. is the support package secured for workers at utility PG&E's Diablo Canyon Power Plant, California's last operating nuclear power plant that is scheduled for permanent closure in 2025. “There was a settlement between the utility, environmental groups and labor unions to phase out that plant that included a very robust just transition package for the workers and the local community,” Judson said.

Are there enough clean energy jobs to replace those being lost?
Governments are more likely to step in with "just transition" plans where they have been responsible for plant closures in the first place. This is the case for California, Germany and Spain, all moving aggressively to decarbonize their energy sectors and pursue net-zero emissions policy goals.

Some companies are beginning to take a more proactive approach to helping their workers with the transition. German energy giant Uniper, for example, is working with authorities to save jobs by seeking to turn coal plants into lower-emissions gas-fired units.

Germany’s coal phaseout will force Uniper to shut down 1.5 gigawatts of hard-coal capacity by 2022, but the company has said it is looking at "forward-looking" options for its plants that "will be geared toward tomorrow's energy world and offer long-term employment prospects."

Christine Bossak, Uniper’s manager of external communications, told GTM this approach would be adopted in all the countries where Uniper operates coal plants.

Job losses are usually inevitable when a plant is closed, Bossak acknowledged. “But the extent of the reduction depends on the alternative possibilities that can be created at the site or other locations. We will take care of every single employee, should he or she be affected by a closure. We work with the works council and our local partners to find sustainable solutions.”

Diana Junquera Curiel, energy industry director for the global union federation IndustriALL, said such corporate commitments looked good on paper — but the level of practical support depends on the prevailing political sentiment in a country, as seen in Germany's nuclear debate over climate strategy.

Even in Spain, where the closure of coal plants was being discussed 15 years ago, a final agreement had to be rushed through at the last minute upon the arrival of a socialist government, Junquera Curiel said. An earlier right-wing administration had sat on the plan for eight years, she added.

The hope is that heel-dragging over just transition programs will diminish as the scale of legacy plant closures grows.

Nuclear industry facing a similar challenge as coal
One reason why government support is so important is there's no guarantee a burgeoning clean energy economy will be able to absorb all the workers losing legacy generation jobs. Although the construction of renewable energy projects requires large crews, it often takes no more than a handful of people to operate and maintain a wind or solar plant once it's up and running, Junquera Curiel observed.

Meanwhile, the job losses are unlikely to slow. In Europe, Austria and Sweden both closed their last coal-fired units recently, even as Europe loses nuclear capacity in key markets.

In the U.S., the Energy Information Administration's base-case prediction is that coal's share of power generation will fall from 24 percent in 2019 to 13 percent in 2050, while nuclear's will fall from 20 percent to 12 percent over that time horizon. The EIA has long underestimated the growth trajectory of renewables in the mix; only in 2020 did it concede that renewables will eventually overtake natural gas as the country's largest source of power.

The Institute for Energy Economics and Financial Analysis has predicted that even a coronavirus-inspired halt to renewables is unlikely to stop a calamitous drop in coal’s contribution to U.S. generation.

The nuclear sector faces a similar challenge as coal, albeit over a longer timeline. Last year saw the nuclear industry starting to lose capacity worldwide in what could be the beginning of a terminal decline, highlighted by Germany's shutdown of its last three reactors in 2023. Last week, the Indian Point Energy Center closed permanently after nearly half a century of cranking out power for New York City.*

“Amid ongoing debates over whether to keep struggling reactors online in certain markets, the industry position would be that governments should support continued operation of existing reactors and new build as part of an overall policy to transition to a sustainable clean energy system,” said Jonathan Cobb, senior communication manager at the World Nuclear Association.

If this doesn’t happen, plant workers will be hoping they can at least get a Diablo Canyon treatment. Based on the progress of just transition plans so far, that may depend on how they vote just as much as who they work for.

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