Old school fuel – coal

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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Texas EV Registration Fee adds a $200 annual charge under Senate Bill 505, offsetting lost gasoline tax revenue to the State Highway Fund, impacting electric vehicle owners at registration and renewals across Texas.

Key Points

A $200 yearly charge on electric vehicles to replace lost gasoline tax revenue and support Texas Highway Fund road work.

✅ $200 due at registration or renewal; $400 upfront on new EVs.

✅ Enacted by Senate Bill 505 to offset lost gasoline tax revenue.

✅ Advocates propose mileage-based fees; limited $2,500 rebates exist.

Plano resident Tony Federico bought his Tesla five years ago in part because he hated spending lots of money on gas, and Supercharger billing changes have also influenced charging expenses. But that financial calculus will change slightly on Sept. 1, when Texas will start charging electric vehicle drivers an additional fee of $200 each year.

“It just seems like it’s arbitrary, with no real logic behind it,” said Federico, 51, who works in information technology. “But I’m going to have to pay it.”

Earlier this year, state lawmakers passed Senate Bill 505, which requires electric vehicle owners to pay the fee when they register a vehicle or renew their registration, even as fights for control over charging continue among utilities, automakers and retailers. It’s being imposed because lawmakers said EV drivers weren’t paying their fair share into a fund that helps cover road construction and repairs across Texas.

The cost will be especially high for those who purchase a new electric vehicle and have to pay two years of registration, or $400, up front.

Texas agencies estimated in a 2020 report that the state lost an average of $200 per year in federal and state gasoline tax dollars when an electric vehicle replaced a gas-fueled one. The agencies called the fee “the most straightforward” remedy.

Gasoline taxes go to the State Highway Fund, which the Texas Department of Transportation calls its “primary funding source.” Electric vehicle drivers don’t pay those taxes, though, because they don’t use gasoline.

Still, EV drivers do use the roads. And while electric vehicles make up a tiny portion of cars in Texas for now, that fraction is expected to increase, raising concerns about state power grids in the years ahead.

Many environmental and consumer advocates agreed with lawmakers that EV drivers should pay into the highway fund but argued over how much, and debates over fairer vehicle taxes are surfacing abroad as well.

Some thought the state should set the fee lower to cover only the lost state tax dollars, rather than both the state and federal money, because federal officials may devise their own scheme. Others argued the state should charge nothing because EVs help reduce greenhouse gas emissions that drive climate change and can offer budget benefits for many owners.

“We urgently need to get more electric vehicles on the road,” said Luke Metzger, executive director of Environment Texas. “Any increased fee could create an additional barrier for Texans, and particularly more moderate- to low-income Texans, to make that transition.”

Tom “Smitty” Smith, the executive director of the Texas Electric Transportation Resources Alliance, advocated for a fee based on how many miles a person drove their electric car, which would better mirror how the gas taxes are assessed.

Texas has a limited incentive that could offset the cost: It offers rebates of up to $2,500 for up to 2,000 new hydrogen fuel cell, electric or hybrid vehicles every two years. Adrian Shelley, Public Citizen’s Texas office director, recommended that the state expand the rebates, noting that state-level EV benefits can be significant.

In the Houston area, dealer Steven Wolf isn’t worried about the fee deterring potential customers from buying the electric Ford F-150 Lightning and Mustang Mach-E vehicles he sells. Electric cars are already more expensive than comparable gasoline-fueled cars, and charging networks compete for drivers, he said.

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Smart Street Lighting NY delivers Syracuse-wide LED retrofits with smart controls, Wi-Fi, and sensors, saving $3.3 million annually and cutting nearly 8,500 tons of greenhouse gases, improving energy efficiency, safety, and maintenance.

Key Points

A NYPA-backed program replacing streetlights with LED and controls to cut costs and emissions across New York by 2025.

✅ Syracuse replaced 17,500 fixtures with LED and smart controls.

✅ Saves $3.3M yearly; cuts 8,500 tons CO2e; improves safety.

✅ NYPA financing and maintenance support enable Smart City sensors.

Governor Andrew M. Cuomo today announced the completed installation of energy-efficient LED streetlights throughout the City of Syracuse as part of the Governor's Smart Street Lighting NY program. Syracuse, through a partnership with the New York Power Authority, replaced all of its streetlights with the most comprehensive set of innovative Smart City technologies in the state, saving the city $3.3 million annually and reducing greenhouse gas emissions by nearly 8,500 tons a year--the equivalent of taking more than 1,660 cars off the road. New York has now replaced more than 100,000 of its streetlights with LED fixtures, reflecting broader state renewable ambitions across the country, a significant milestone in the Governor's goal to replace at least 500,000 streetlights with LED technology by 2025 under Smart Street Lighting NY.

Today's announcement directly supports the goals of the Climate Leadership and Community Protection Act, the most aggressive climate change law in the nation, through the increased use of energy efficiency, exemplified by Seattle City Light's program that helps customers reduce bills, to annually reduce electricity demand by three percent--equivalent to 1.8 million New York households--by 2025.

"As we move further into the 21st century, it's critical we make the investments necessary for building smarter, more sustainable communities and that's exactly what we are doing in Syracuse," Governor Cuomo said. "Not only is the Smart Street Lighting NY program reducing the city's carbon footprint, but millions of taxpayer dollars will be saved thanks to a reduction in utility costs. Climate change is not going away and it is these types of smart, forward-thinking programs which will help communities build towards the future."

The more than $16 million cutting-edge initiative, implemented by NYPA, includes the replacement of approximately 17,500 streetlights throughout the city with SMART, LED fixtures, improving lighting quality and neighborhood safety while saving energy and maintenance costs. The city's streetlights are now outfitted with SMART controls that provide programmed dimming ability, energy metering, fault monitoring, and additional tools for emergency services through on-demand lighting levels.

"The completion of the replacement of LED streetlights in Syracuse is part of our overall efforts to upgrade more than 100,000 streetlights across the state," Lieutenant Governor Kathy Hochul said. "The new lights will save the city $3.3 million annually, helping to reduce cost for energy and maintenance and reducing greenhouse gas emissions. These new light fixtures will also help to improve safety and provide additional tools for emergency services. The conversion of streetlights statewide to high-tech LED fixtures will help local governments and taxpayers save money, while increasing efficiency and safety as we work to build back better and stronger for the future."

NYPA provided Syracuse with a $500,000 Smart Cities grant for the project. The city utilized the additional funding to support special features on the streetlights that demonstrate the latest in Smart City technologies, focused on digital connectivity, environmental monitoring and public safety. These features are expected to be fully implemented in early 2021.

Connectivity: The city is planning to deploy exterior Wi-Fi at community centers and public spaces, including in neighborhoods in need of expanded digital network services.

Environmental Monitoring: Ice and snow detection systems that assist city officials in pinpointing streets covered in ice or snow and require attention to prevent accidents and improve safety. The sensors provide data that can tell the city where salt trucks and plows are most needed instead of directing trucks to drive pre-determined routes. Flood reporting and monitoring systems will also be installed.

Public Safety and Property Protection: Illegal dumping and vandalism detection sensors will be installed at strategic locations to help mitigate these disturbances. Vacant house monitoring will also be deployed by the city. The system can monitor for potential fires, detect motion and provide temperature and humidity readings of vacant homes. Trash bin sensors will be installed at various locations throughout the city that will detect when a trash bin is full and alert local officials for pick-up.

NYPA President and CEO Gil C. Quiniones said, "Syracuse is truly a pioneer in its exploration of using SMART technologies to improve public services and the Power Authority was thrilled to partner with the city on this innovative initiative. Helping our customers bring their streetlights into the future further advances NYPA's reputation as a first-mover in the energy-sector."

New York State Public Service Commission Chair John B. Rhodes said, "Governor Cuomo signed legislation making it easier for municipalities to purchase and upgrade their street lighting systems. With smart projects like these, cities such as Syracuse can install state-of-the-art, energy efficient lights and take control over their energy use, lower costs to taxpayers and protect the environment."

Mayor Ben Walsh said, "Governor Cuomo and the New York Power Authority have helped power Syracuse to the front of the pack of cities in the U.S., leveraging SMART LED lighting to save money and make life better for our residents. Because of our progress, even in the midst of a global pandemic, the Syracuse Surge, our strategy for inclusive growth in the New Economy, continues to move forward. Syracuse and all of New York State are well positioned to lead the nation and the world because of NYPA's support and the Governor's leadership."

To date, NYPA has installed more than 50,000 LED streetlights statewide, with more than 115,000 lighting replacements currently implemented. Some of the cities and towns that have already converted to LED lights, in collaboration with NYPA, include Albany, Rochester, and White Plains. In addition, the Public Service Commission, whose ongoing retail energy markets review informs consumer protections, in conjunction with investor-owned utilities around the state, has facilitated the installation of more than 50,000 additional LED lights.

The NYPA Board of Trustees, in support of the Smart Street Lighting NY program, authorized at its September meeting the expenditure of $150 million over the next five years to secure the services of Candela Systems in Hawthorne, D&M Contracting in Elmsford and E-J Electric T&D in Wallingford, Connecticut, while in other regions, city officials take a clean energy message to Georgia Power and the PSC to spur utility action. All three firms will work on behalf of NYPA to continue to implement LED lighting replacements throughout New York State to meet the Governor's goal of 500,000 LED streetlights installed by 2025.

Smart Street Lighting NY: Energy Efficient and Economically Advantageous

NYPA is working with cities, towns, villages and counties throughout New York to fully manage and implement a customer's transition to LED streetlight technology. NYPA provides upfront financing for the project, and during emergencies, New York's utility disconnection moratorium helps protect customers while payments to NYPA are made in the years following from the cost-savings created by the reduced energy use of the LED streetlights, which are 50 to 65 percent more efficient than alternative street lighting options.

Through this statewide street lighting program, NYPA's government customers are provided a wide-array of lighting options to help meet their individual needs, including specifications on the lights to incorporate SMART technology, which can be used for dozens of other functions, such as cameras and other safety features, weather sensors, Wi-Fi and energy meters.

To further advance the Governor's effort to replace existing New York street lighting, in 2019, NYPA launched a new maintenance service to provide routine and on-call maintenance services for LED street lighting fixtures installed by NYPA throughout the state, and during the COVID-19 response, New York and New Jersey suspended utility shut-offs to protect customers and maintain essential services. The new service is available to municipalities that have engaged NYPA to implement a LED street lighting conversion and have elected to install an asset management controls system on their street lighting system, reducing the number of failures and repairs needed after installation is complete.

To learn more about the Smart Street Lighting NY program, visit the program webpage on NYPA's website.

New York State's Nation-Leading Climate Plan

Governor Cuomo's nation-leading climate plan is the most aggressive climate and clean energy initiative in the nation, calling for an orderly and just transition to clean energy that creates jobs and continues fostering a green economy as New York State builds back better as it recovers from the COVID-19 pandemic. Enshrined into law through the CLCPA, New York is on a path to reach its mandated goals of economy wide carbon neutrality and achieving a zero-carbon emissions electricity sector by 2040, similar to Ontario's clean electricity regulations that advance decarbonization, faster than any other state. It builds on New York's unprecedented ramp-up of clean energy including a $3.9 billion investment in 67 large-scale renewable projects across the state, the creation of more than 150,000 jobs in New York's clean energy sector, a commitment to develop over 9,000 megawatts of offshore wind by 2035, and 1,800 percent growth in the distributed solar sector since 2011. New York's Climate Action Council is working on a scoping plan to build on this progress and reduce greenhouse gas emissions by 85 percent from 1990 levels by 2050, while ensuring that at least 40 percent of the benefits of clean energy investments benefit disadvantaged communities, and advancing progress towards the state's 2025 energy efficiency target of reducing on-site energy consumption by 185 TBtus.

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Germany Hydrogen Import Strategy outlines reliance on green hydrogen imports, expanded electrolysis capacity, IPCEI-funded pipelines, and industrial decarbonization for steel and chemicals to reach climate-neutral goals by 2045, meeting 2030 demand of 95-130 TWh.

Key Points

A plan to import 50-70% of hydrogen by 2030, backing green hydrogen, electrolysis, pipelines, and decarbonization.

✅ Imports cover 50-70% of 2030 hydrogen demand

✅ 10 GW electrolysis target with state aid and IPCEI

✅ 1,800 km H2 pipelines to link hubs by 2030

Germany will have to import up to 70% of its hydrogen demand in the future as Europe's largest economy aims to become climate-neutral by 2045, an updated government strategy published on Wednesday showed.

The German cabinet approved a new hydrogen strategy, setting guidelines for hydrogen production, transport infrastructure and market plans.

Germany is seeking to expand reliance on hydrogen as a future energy source to bolster energy resilience and cut greenhouse emissions for highly polluting industrial sectors that cannot be electrified such as steel and chemicals and cut dependency on imported fossil fuel.

Produced using solar and wind power, green hydrogen is a pillar of Berlin's plan to build a sustainable electric planet and transition away from fossil fuels.

But even with doubling the country's domestic electrolysis capacity target for 2030 to at least 10 gigawatts (GW), Germany will need to import around 50% to 70% of its hydrogen demand, forecast at 95 to 130 TWh in 2030, the strategy showed.

"A domestic supply that fully covers demand does not make economic sense or serve the transformation processes resulting from the energy transition and the broader global energy transition overall," the document said.

The strategy underscores the importance of diversifying future hydrogen sources, including potential partners such as Canada's clean hydrogen sector, but the government is working on a separate strategy for hydrogen imports whose exact date is not clear, a spokesperson for the economy ministry said.

"Instead of relying on domestic potential for the production of green hydrogen, the federal government's strategy is primarily aimed at imports by ship," Simone Peter, the head of Germany's renewable energy association, said.

Under the strategy, state aid is expected to be approved for around 2.5 GW of electrolysis projects in Germany this year and the government will earmark 700 million euros ($775 million) for hydrogen research to optimise production methods, research minister Bettina Stark-Watzinger said.

But Germany's limited renewable energy space will make it heavily dependent on imported hydrogen from emerging export hubs such as Abu Dhabi hydrogen exports gaining scale, experts say.

"Germany is a densely populated country. We simply need space for wind and photovoltaic to be able to produce the hydrogen," Philipp Heilmaier, an energy transition researcher at Germany energy agency, told Reuters.

The strategy allows the usage of hydrogen produced through fossil energy sources preferably if the carbon is split off, but said direct government subsidies would be limited to green hydrogen.

Funds for launching a hydrogen network with more than 1,800 km of pipelines in Germany are expected to flow by 2027/2028 through the bloc's Important Projects of Common European Interest (IPCEI) financing scheme, as the EU plans to double electricity use by 2050 could raise future demand, with the goal of connecting all major generation, import and storage centres to customers by 2030.

Transport Minister Volker Wissing said his ministry was working on plans for a network of hydrogen filling stations and for renewable fuel subsidies.

Environmental groups said the strategy lacked binding sustainability criteria and restriction on using hydrogen for sectors that cannot be electrified instead of using it for private heating or in cars, calling for a plan to eventually phase-out blue hydrogen which is produced from natural gas.

Germany has already signed several hydrogen cooperation agreements with countries such as clean energy partnership with Canada and Norway, United Arab Emirates and Australia.

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Cement-Based Conductive Composite transforms concrete into power by energy harvesting via triboelectric nanogenerator action, carbon fibers, and built-in capacitors, enabling net-zero buildings and self-sensing structural health monitoring from footsteps, wind, rain, and waves.

Key Points

A carbon fiber cement that harvests and stores energy as electricity, enabling net-zero, self-sensing concrete.

✅ Uses carbon fibers to create a conductive concrete matrix

✅ Acts as a triboelectric nanogenerator and capacitor

✅ Enables net-zero, self-sensing structural health monitoring

Engineers from South Korea have invented a cement-based composite that can be used in concrete to make structures that generate and store electricity through exposure to external mechanical energy sources like footsteps, wind, rain and waves, and even self-powering roads concepts.

By turning structures into power sources, the cement will crack the problem of the built environment consuming 40% of the world’s energy, complementing vehicle-to-building energy strategies across the sector, they believe.

Building users need not worry about getting electrocuted. Tests showed that a 1% volume of conductive carbon fibres in a cement mixture was enough to give the cement the desired electrical properties without compromising structural performance, complementing grid-scale vanadium flow batteries in the broader storage landscape, and the current generated was far lower than the maximum allowable level for the human body.

Researchers in mechanical and civil engineering from from Incheon National University, Kyung Hee University and Korea University developed a cement-based conductive composite (CBC) with carbon fibres that can also act as a triboelectric nanogenerator (TENG), a type of mechanical energy harvester.

They designed a lab-scale structure and a CBC-based capacitor using the developed material to test its energy harvesting and storage capabilities, similar in ambition to gravity storage approaches being scaled.

“We wanted to develop a structural energy material that could be used to build net-zero energy structures that use and produce their own electricity,” said Seung-Jung Lee, a professor in Incheon National University’s Department of Civil and Environmental Engineering, noting parallels with low-income housing microgrids in urban settings.

“Since cement is an indispensable construction material, we decided to use it with conductive fillers as the core conductive element for our CBC-TENG system,” he added.

The results of their research were published this month in the journal Nano Energy.

Apart from energy storage and harvesting, the material could also be used to design self-sensing systems that monitor the structural health and predict the remaining service life of concrete structures without any external power, which is valuable in industrial settings where hydrogen-powered port equipment is being deployed.

“Our ultimate goal was to develop materials that made the lives of people better and did not need any extra energy to save the planet. And we expect that the findings from this study can be used to expand the applicability of CBC as an all-in-one energy material for net-zero energy structures,” said Prof. Lee, pointing to emerging circular battery recycling pathways for net-zero supply chains.

Publicising the research, Incheon National University quipped: “Seems like a jolting start to a brighter and greener tomorrow!”

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AI Load Forecasting for Utilities leverages machine learning, smart meters, and predictive analytics to balance energy demand during COVID-19 disruptions, optimize grid reliability, support demand response, and stabilize rates for residential and commercial customers.

Key Points

AI predicts utility demand with ML and smart meters to improve reliability and reduce costs.

✅ Adapts to rapid demand shifts with accurate short term forecasts

✅ Optimizes demand response and distributed energy resources

✅ Reduces outages risk while lowering procurement and operating costs

The spread of the novel coronavirus that causes COVID-19 has prompted state and local governments around the U.S. to institute shelter-in-place orders and business closures. As millions suddenly find themselves confined to their homes, the shift has strained not only internet service providers, streaming platforms, and online retailers, but the utilities supplying power to the nation’s electrical grid, which face longer, more frequent outages as well.

U.S. electricity use on March 27, 2020 was 3% lower than it was on March 27, 2019, a loss of about three years of sales growth. Peter Fox-Penner, director of the Boston University Institute for Sustainable Energy, asserted in a recent op-ed that utility revenues will suffer because providers are halting shutoffs and deferring rate increases. Moreover, according to research firm Wood Mackenzie, the rise in household electricity demand won’t offset reduced business electricity demand, mainly because residential demand makes up just 40% of the total demand across North America.

Some utilities are employing AI and machine learning for the energy transition to address the windfalls and fluctuations in energy usage resulting from COVID-19. Precise load forecasting could ensure that operations aren’t interrupted in the coming months, thereby preventing blackouts and brownouts. And they might also bolster the efficiency of utilities’ internal processes, leading to reduced prices and improved service long after the pandemic ends.

Innowatts
Innowatts, a startup developing an automated toolkit for energy monitoring and management, counts several major U.S. utility companies among its customers, including Portland General Electric, Gexa Energy, Avangrid, Arizona Public Service Electric, WGL, and Mega Energy. Its eUtility platform ingests data from over 34 million smart energy meters across 21 million customers in more than 13 regional energy markets, while its machine learning algorithms analyze the data to forecast short- and long-term loads, variances, weather sensitivity, and more.

Beyond these table-stakes predictions, Innowatts helps evaluate the effects of different rate configurations by mapping utilities’ rate structures against disaggregated cost models. It also produces cost curves for each customer that reveal the margin impacts on the wider business, and it validates the yield of products and cost of customer acquisition with models that learn the relationships between marketing efforts and customer behaviors (like real-time load).

Innowwatts told VentureBeat that it observed “dramatic” shifts in energy usage between the first and fourth weeks of March. In the Northeast, “non-essential” retailers like salons, clothing shops, and dry cleaners were using only 35% as much energy toward the end of the month (after shelter-in-place orders were enacted) versus the beginning of the month, while restaurants (excepting pizza chains) were using only 28%. In Texas, conversely, storage facilities were using 142% as much energy in the fourth week compared with the first.

Innowatts says that throughout these usage surges and declines, its clients took advantage of AI-based load forecasting to learn from short-term shocks and make timely adjustments. Within three days of shelter-in-place orders, the company said, its forecasting models were able to learn new consumption patterns and produce accurate forecasts, accounting for real-time changes.

Innowatts CEO Sid Sachdeva believes that if utility companies had not leveraged machine learning models, demand forecasts in mid-March would have seen variances of 10-20%, significantly impacting operations.

“During these turbulent times, AI-based load forecasting gives energy providers the ability to … develop informed, data-driven strategies for future success,” Sachdeva told VentureBeat. “With utilities and energy retailers seeing a once-in-a-lifetime 30%-plus drop in commercial energy consumption, accurate forecasting has never been more important. Without AI tools, utilities would see their forecasts swing wildly, leading to inaccuracies of 20% or more, placing an enormous strain on their operations and ultimately driving up costs for businesses and consumers.”

Autogrid
Autogrid works with over 50 customers in 10 countries — including Energy Australia, Florida Power & Light, and Southern California Edison — to deliver AI-informed power usage insights. Its platform makes 10 million predictions every 10 minutes and optimizes over 50 megawatts of power, which is enough to supply the average suburb.

Flex, the company’s flagship product, predicts and controls tens of thousands of energy resources from millions of customers by ingesting, storing, and managing petabytes of data from trillions of endpoints. Using a combination of data science, machine learning, and network optimization algorithms, Flex models both physics and customer behavior, automatically anticipating and adjusting for supply and demand patterns through virtual power plants that coordinate distributed assets.

Autogrid also offers a fully managed solution for integrating and utilizing end-customer installations of grid batteries and microgrids. Like Flex, it automatically aggregates, forecasts, and optimizes capacity from assets at sub-stations and transformers, reacting to distribution management needs while providing capacity to avoid capital investments in system upgrades.

Autogrid CEO Dr. Amit Narayan told VentureBeat that the COVID-19 crisis has heavily shifted daily power distribution in California, where it’s having a “significant” downward impact on hourly prices in the energy market. He says that Autogrid has also heard from customers about transformer failures in some regions due to overloaded circuits, which he expects will become a problem in heavily residential and saturated load areas during the summer months (as utilities prepare for blackouts across the U.S. when air conditioning usage goes up).

“In California, [as you’ll recall], more than a million residents faced wildfire prevention-related outages in PG&E territory in 2019,” Narayan said, referring to the controversial planned outages orchestrated by Pacific Gas & Electric last summer. “The demand continues to be high in 2020 in spite of the COVID-19 crisis, as residents prepare to keep the lights on and brace for a similar situation this summer. If a 2019 repeat happens again, it will be even more devastating, given the health crisis and difficulty in buying groceries.”

AI making a difference
AI and machine learning isn’t a silver bullet for the power grid — even with predictive tools at their disposal, utilities are beholden to a tumultuous demand curve and to mounting climate risks across the grid. But providers say they see evidence the tools are already helping to prevent the worst of the pandemic’s effects — chiefly by enabling them to better adjust to shifted daily and weekly power load profiles.

“The societal impact [of the pandemic] will continue to be felt — people may continue working remotely instead of going into the office, they may alter their commute times to avoid rush hour crowds, or may look to alternative modes of transportation,” Schneider Electric chief innovation officer Emmanuel Lagarrigue told VentureBeat. “All of this will impact the daily load curve, and that is where AI and automation can help us with maintenance, performance, and diagnostics within our homes, buildings, and in the grid.”

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