U.S. nuclear locations under review

By Washington Times


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Energy Secretary Steven Chu said the nuclear crisis in Japan will force American officials to re-evaluate the locations of nuclear reactors in the U.S., including the Indian Point Energy Center, a three-reactor facility about 40 miles north of New York City.

In an appearance on "Fox News Sunday," the Obama administration's point man on energy said federal officials believe Indian Point is safe, but that the nuclear power plant will be a part of a nationwide safety review of U.S. facilities.

"The evacuation plans of the Indian Point reactor will be looked at and studied in great detail," Mr. Chu said, adding that the review, ordered by President Obama, likely will change the way nuclear plants are built and regulated in the U.S.

"Certainly where we site reactors and where we site reactors going forward will be different than where we might have sited them in the past," Mr. Chu said.

Gregory Jaczko, chairman of the Nuclear Regulatory Commission, said that his agency "will probably do some kind of short look in the near term just to re-examine the existing fleet of reactors."

However, Mr. Jaczko said in a C-SPAN interview, he did not expect a separate in-depth year-long study of reactor safety in light of the Japan crisis to affect requests from U.S. nuclear plants to have their licenses renewed in the interim.

New York Gov. Andrew Cuomo has suggested that the New York City-area plant, with its two operational 1970s-era reactors and one closed reactor, be shut down amid safety concerns in the wake of the Japan crisis.

A massive March 11 earthquake in the Pacific and its resulting tsunami severely damaged several coastal Japanese nuclear facilities, including the Fukushima plant, where engineers believe a catastrophic failure of the reactor's cooling systems led to a partial meltdown.

The tsunami destroyed cities, roads and homes all along the northeastern Japanese coast and has claimed more than 8,000 lives, though that death toll is expected to climb much higher. Since then, deadly radiation levels at the Fukushima facility have hindered the efforts of engineers and nuclear workers to bring the damaged reactor under control.

Mr. Chu appeared on several talk shows to address questions about whether the Obama administration had lost confidence in the Japanese government's handling of the nuclear crisis and whether officials in Japan were being forthright about the scope of the disaster.

"There is no evidence that I ever heard that the Japanese were holding back," Mr. Chu said on CNN. "We are getting information from them. We have confidence in that information."

Mr. Chu, a Nobel Prize-winning physicist, said there is no indication that radiation leaking from the damaged Japanese reactor poses a threat to the U.S. or its Pacific island territories such as Guam.

"I think with each passing hour, with each passing day, things are more in control," he said on Fox.

The Associated Press reported that Japanese officials say they are slowly bringing the leaking Fukushima reactor building under control.

"We consider that now we have come to a situation where we are very close to getting the situation under control," Deputy Cabinet Secretary Tetsuro Fukuyama said.

Still, reports of radiation-tainted vegetables and tap water have added to public fears about the crisis in Japan and raised concerns in the U.S. about the possibilities of radiation contamination along the American West Coast.

Other Washington leaders warned that the crisis in Japan will inevitably affect the American nuclear industry, which in recent years had been the subject of much talk of a "nuclear renaissance."

On CBS's "Face the Nation," Rep. Edward J. Markey, Massachusetts Democrat, said the accident "is calling into question of the viability of nuclear power in this country."

Mr. Markey, who has called for a moratorium on the construction of nuclear power plants in earthquake-prone areas, predicted that the nuclear industry had met "its maker in the marketplace."

"It won't be protesters, it will be Wall Street investors raising questions about its viability going forward," Mr. Markey said.

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Rio Tinto Completes Largest Off-Grid Solar Plant in Canada's Northwest Territories

Rio Tinto Off-Grid Solar Power Plant showcases renewable energy at the Diavik Diamond Mine in Canada's Northwest Territories, cutting diesel use, lowering carbon emissions, and boosting remote mining resilience with advanced photovoltaic technology.

 

Key Points

A remote solar PV plant at Diavik mine supplying clean power while cutting diesel use, carbon emissions, and costs.

✅ Largest off-grid solar in Northwest Territories

✅ Replaces diesel generators during peak solar hours

✅ Enhances sustainability and lowers operating costs

 

In a significant step towards sustainable mining practices, Rio Tinto has completed the largest off-grid solar power plant in Canada’s Northwest Territories. This groundbreaking achievement not only highlights the company's commitment to renewable energy, as Canada nears 5 GW of solar capacity nationwide, but also sets a new standard for the mining industry in remote and off-grid locations.

Located in the remote Diavik Diamond Mine, approximately 220 kilometers south of the Arctic Circle, Rio Tinto's off-grid solar power plant represents a technological feat in harnessing renewable energy in challenging environments. The plant is designed to reduce reliance on diesel fuel, traditionally used to power the mine's operations, and mitigate carbon emissions associated with mining activities.

The decision to build the solar power plant aligns with Rio Tinto's broader sustainability goals and commitment to reducing its environmental footprint. By integrating renewable energy sources like solar power, a strategy that renewable developers say leads to better, more resilient projects, the company aims to enhance energy efficiency, lower operational costs, and contribute to global efforts to combat climate change.

The Diavik Diamond Mine, jointly owned by Rio Tinto and Dominion Diamond Mines, operates in a remote region where access to traditional energy infrastructure is limited, and where, despite lagging solar demand in Canada, off-grid solutions are increasingly vital for reliability. Historically, diesel generators have been the primary source of power for the mine's operations, posing logistical challenges and environmental impacts due to fuel transportation and combustion.

Rio Tinto's investment in the off-grid solar power plant addresses these challenges by leveraging abundant sunlight in the Northwest Territories to generate clean electricity directly at the mine site. The solar array, equipped with advanced photovoltaic technology, which mirrors deployments such as Arvato's first solar plant in other sectors, is capable of producing a significant portion of the mine's electricity needs during peak solar hours, reducing reliance on diesel generators and lowering overall carbon emissions.

Moreover, the completion of the largest off-grid solar power plant in Canada's Northwest Territories underscores the feasibility and scalability of renewable energy solutions, from rooftop arrays like Edmonton's largest rooftop solar to off-grid systems in remote and resource-intensive industries like mining. The success of this project serves as a model for other mining companies seeking to enhance sustainability practices and operational resilience in challenging geographical locations.

Beyond environmental benefits, Rio Tinto's initiative is expected to have positive economic and social impacts on the local community. By reducing diesel consumption, the company mitigates air pollution and noise levels associated with mining operations, improving environmental quality and contributing to the well-being of nearby residents and wildlife.

Looking ahead, Rio Tinto's investment in renewable energy at the Diavik Diamond Mine sets a precedent for responsible resource development and sustainable mining practices in Canada, where solar growth in Alberta is accelerating, and globally. As the mining industry continues to evolve, integrating renewable energy solutions like off-grid solar power plants will play a crucial role in achieving long-term environmental sustainability and operational efficiency.

In conclusion, Rio Tinto's completion of the largest off-grid solar power plant in Canada's Northwest Territories marks a significant milestone in the mining industry's transition towards renewable energy. By harnessing solar power to reduce reliance on diesel generators, the company not only improves operational efficiency and environmental stewardship but also adds to momentum from corporate power purchase agreements like RBC's Alberta solar deal, setting a positive example for sustainable development in remote regions. As global demand for responsible mining practices grows, initiatives like Rio Tinto's off-grid solar project demonstrate the potential of renewable energy to drive positive change in resource-intensive industries.

 

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Germany launches second wind-solar tender

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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EDP Plans to Reject $10.9 Billion-China Three Gorges Bid

EDP Takeover Bid Rejection signals pushback on China Three Gorges' acquisition bid, as investors, shareholders, and analysts cite low premium, valuation concerns, and strategic renewables assets across Portugal, the US, Brazil, and Europe utilities.

 

Key Points

EDP's board views China Three Gorges' 3.26 euro per share offer as too low, citing valuation and renewables exposure.

✅ Bid premium 4.8% above close seen as inadequate.

✅ Stock surged above offer; market expects higher price.

✅ Advisors UBS and Morgan Stanley guiding EDP.

 

EDP-Energias de Portugal SA is poised to reject a 9.1 billion euro ($10.9 billion) takeover offer from China Three Gorges Corp. on the grounds that it undervalues Portugal’s biggest energy company, according to people with knowledge of the matter.

The board of EDP, which may meet as early as this week, views the current bid of 3.26 euros a share as too low as it indicates a premium of 4.8 percent over Friday’s close, said the people, asking not to be identified because the discussions are private. EDP is also working with advisers including UBS Group AG and Morgan Stanley on the potential deal, they said.

Representatives for EDP, UBS and Morgan Stanley declined to comment. Representatives for Three Gorges didn’t immediately respond to requests for comment.

#google#

Shares of EDP surged the most in a decade to above the bid level on Monday, signaling that investors expect the Chinese utility, which is its biggest investor, to sweeten the offer to gain full control. For Three Gorges, which spent two decades building a hydro-power plant spanning China’s Yangtze River, the deal would bolster its efforts to expand abroad and give it deeper access to markets in Europe, the U.S. and Brazil.

China’s biggest renewable-energy developer already is the largest shareholder of EDP with a 23 percent stake and now is seeking more than 50 percent. While the government in Lisbon has indicated it’s comfortable with the Chinese offer, EDF electricity price deal illustrates policy dynamics in the region and it holds out little incentive for shareholders to tender their stock.

 

Stock Jumps

Shares of EDP rose 9.3 percent to 3.40 euros in Lisbon on Monday, even as rolling back European electricity prices remains challenging, after earlier jumping by the most since October 2008.

“We believe the price offered is too low for China Three Gorges to achieve full control of a vehicle that provides, among other things, a strategic footprint into U.S. renewables,” Javier Garrido, an analyst at JPMorgan Chase & Co., said in a note. “We expect management and minorities to claim a higher price.”

The offer adds to a wave of investments China has made overseas, both to earn a yield on its cash and to gain expertise in industries ranging from energy to telecommunications and transport. Concern about those deals has been mounting in the U.S. regulatory arena recently. European Union governments have been divided in their response, with Portugal among those most supportive of inward investment.

“China Three Gorges is an ambitious company, with expansion already in international hydro, Chinese onshore wind and floating solar, and European offshore wind,” said Angus McCrone, a senior analyst at Bloomberg New Energy Finance in London. “It may have to do better on bid price than the 5 percent premium so far offered for EDP.”

 

Fortum’s Troubles

The low premium offered by Three Gorges echoes the struggle Fortum Oyj had in winning over investors in its bid for Uniper SE last year, while North American deals such as Hydro One’s Avista bid faced customer backlash as well, highlighting parallels. The Finnish utility offered 8 billion euros to buy out the remainder of Uniper in September, immediately sending shares of the German power generator above the offer prices. At least for now, Fortum has settled for a 47 percent stake it bought in Uniper from EON SE, and most other shareholders decided to keep their stake.

The EDP transaction would advance a wave of consolidation among Europe’s leading utilities, which are acquiring assets and development skills in renewables as governments across the region crack down on pollution. EDP is one of Europe’s leading developers of renewable energy, building mainly wind farms and hydro plants, and has expanded in markets including Brazil and the U.S. electrification market.

 

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U.S. residential electricity bills increased 5% in 2022, after adjusting for inflation

U.S. Residential Electricity Bills rose on stronger demand, inflation, and fuel costs, with higher retail prices, kWh consumption, and extreme weather driving 2022 spikes; forecasts point to stable summer usage and slight price increases.

 

Key Points

They are average household power costs shaped by prices, kWh use, weather, and upstream fuel costs.

✅ 2022 bills up 13% nominal, 5% real vs. 2021

✅ Retail price rose 11%; consumption up 2% to 907 kWh

✅ Fuel costs to plants up 34%, pressuring rates

 

In nominal terms, the average monthly electricity bill for residential customers in the United States increased 13% from 2021 to 2022, rising from $121 a month to $137 a month. After adjusting for inflation—which reached 8% in 2022, a 40-year high—electricity bills increased 5%. Last year had the largest annual increase in average residential electricity spending since we began calculating it in 1984. The increase was driven by a combination of more extreme temperatures, which increased U.S. consumption of electricity for both heating and cooling, and higher fuel costs for power plants, which drove up retail electricity prices nationwide.

Residential electricity customers’ monthly electricity bills are based on the amount of electricity consumed and the retail electricity price. Average U.S. monthly electricity consumption per residential customer increased from 886 kilowatthours (kWh) in 2021 to 907 kWh in 2022, even as U.S. electricity sales have declined over the past seven years. Both a colder winter and a hotter summer contributed to the 2% increase in average monthly electricity consumption per residential customer in 2022 because customers used more space heating during the winter and more air conditioning during the summer, with some states, such as Pennsylvania, facing sharp winter rate increases.

Although we don’t directly collect retail electricity prices, we do collect revenues from electricity providers that allow us to determine prices by dividing by consumption, and industry reports show major utilities spending more on electricity delivery than on power production. In 2022, the average U.S. residential retail electricity price was 15.12 cents/kWh, an 11% increase from 13.66 cents/kWh in 2021. After adjusting for inflation, U.S. residential electricity prices went up by 2.5%.

Higher fuel costs for power plants drove the increase in residential retail electricity prices. The cost of fossil fuels—including natural gas prices, coal, and petroleum—delivered to U.S. power plants increased 34%, from $3.82 per million British thermal units (MMBtu) in 2021 to $5.13/MMBtu in 2022. The higher fuel costs were passed along to residential customers and contributed to higher retail electricity prices, and Germany power prices nearly doubled over a year in a related trend.

In the first three months of 2023, the average U.S. residential monthly electricity bill was $133, or 5% higher than for the same time last year, according to data from our Electric Power Monthly. The increase was driven by a 13% increase in the average U.S. residential retail electricity price, which was partly offset by a 7% decrease in average monthly electricity consumption per residential customer, and industry outlooks also see U.S. power demand sliding 1% on milder weather. This summer, we expect that typical household electricity bills will be similar to last year’s, with customers paying about 2% more on average. The slight increase in electricity costs forecast for this summer stems from higher retail electricity prices but similar consumption levels as last summer.
 

 

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Grid coordination opens road for electric vehicle flexibility

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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Tackling climate change with machine learning: Covid-19 and the energy transition

Covid-19 Energy Transition and Machine Learning reshape climate change policy, electricity planning, and grid operations, from demand forecasting and decarbonization strategies in Europe to scalable electrification modeling and renewable integration across Africa.

 

Key Points

How the pandemic reshapes energy policy and how ML improves planning, demand forecasts, and grid reliability in Africa.

✅ Pandemic-driven demand shifts strain grid operations and markets

✅ Policy momentum risks rollback; favor future-oriented decarbonization

✅ ML boosts demand prediction, electrification, and grid reliability in Africa

 

The impact of Covid-19 on the energy system was discussed in an online climate change workshop that also considered how machine learning can help electricity planning in Africa.

This year’s International Conference on Learning Representations event included a workshop held by the Climate Change AI group of academics and artificial intelligence industry representatives, which considered how machine learning can help tackle climate change and highlighted advances by European electricity prediction specialists working in this field.

Bjarne Steffen, senior researcher at the energy politics group at ETH Zürich, shared his insights at the workshop on how Covid-19 and the accompanying economic crisis are affecting recently introduced ‘green’ policies. “The crisis hit at a time when energy policies were experiencing increasing momentum towards climate action, especially in Europe, and in proposals to invest in smarter electricity infrastructure for long-term resilience,” said Steffen, who added the coronavirus pandemic has cast into doubt the implementation of such progressive policies.

The academic said there was a risk of overreacting to the public health crisis, as far as progress towards climate change goals was concerned.

 

Lobbying

“Many interest groups from carbon-intensive industries are pushing to remove the emissions trading system and other green policies,” said Steffen. “In cases where those policies are having a serious impact on carbon-emitting industries, governments should offer temporary waivers during this temporary crisis, instead of overhauling the regulatory structure.”

However, the ETH Zürich researcher said any temptation to impose environmental conditions to bail-outs for carbon-intensive industries should be resisted. “While it is tempting to push a green agenda in the relief packages, tying short-term environmental conditions to bail-outs is impractical, given the uncertainty in how long this crisis will last,” he said. “It is better to include provisions that will give more control over future decisions to decarbonize industries, such as the government taking equity shares in companies.”

Steffen shared with pv magazine readers an article published in Joule which can be accessed here, and which articulates his arguments about how Covid-19 could affect the energy transition.

 

Covid-19 in the U.K.

The electricity system in the U.K. is also being affected by Covid-19, even as the U.S. electric grid grapples with climate risks, according to Jack Kelly, founder of London-based, not-for-profit, greenhouse gas emission reduction research laboratory Open Climate Fix.

“The crisis has reduced overall electricity use in the U.K.,” said Kelly. “Residential use has increased but this has not offset reductions in commercial and industrial loads.”

Steve Wallace, a power system manager at British electricity system operator National Grid ESO recently told U.K. broadcaster the BBC electricity demand has fallen 15-20% across the U.K. The National Grid ESO blog has stated the fall-off makes managing grid functions such as voltage regulation more challenging.

Open Climate Fix’s Kelly noted even events such as a nationally-coordinated round of applause for key workers was followed by a dramatic surge in demand, stating: “On April 16, the National Grid saw a nearly 1 GW spike in electricity demand over 10 minutes after everyone finished clapping for healthcare workers and went about the rest of their evenings.”

Climate Change AI workshop panelists also discussed the impact machine learning could have on improving electricity planning in Africa. The Electricity Growth and Use in Developing Economies (e-Guide) initiative funded by fossil fuel philanthropic organization the Rockefeller Foundation aims to use data to improve the planning and operation of electricity systems in developing countries.

E-Guide members Nathan Williams, an assistant professor at the Rochester Institute of Technology (RIT) in New York state, and Simone Fobi, a PhD student at Columbia University in NYC, spoke about their work at the Climate Change AI workshop, which closed on Thursday. Williams emphasized the importance of demand prediction, saying: “Uncertainty around current and future electricity consumption leads to inefficient planning. The weak link for energy planning tools is the poor quality of demand data.”

Fobi said: “We are trying to use machine learning to make use of lower-quality data and still be able to make strong predictions.”

The market maturity of individual solar home systems and PV mini-grids in Africa mean more complex electrification plan modeling is required, similar to integrating AI data centers into Canada's grids at scale.

 

Modeling

“When we are doing [electricity] access planning, we are trying to figure out where the demand will be and how much demand will exist so we can propose the right technology,” added Fobi. “This makes demand estimation crucial to efficient planning.”

Unlike many traditional modeling approaches, machine learning is scalable and transferable. Rochester’s Williams has been using data from nations such as Kenya, which are more advanced in their electrification efforts, to train machine learning models to make predictions to guide electrification efforts in countries which are not as far down the track.

Williams also discussed work being undertaken by e-Guide members at the Colorado School of Mines, which uses nighttime satellite imagery and machine learning to assess the reliability of grid infrastructure in India, where new algorithms to prevent ransomware-induced blackouts are also advancing.

 

Rural power

Another e-Guide project, led by Jay Taneja at the University of Massachusetts, Amherst – and co-funded by the Energy and Economic Growth program on development spending based at Berkeley – uses satellite imagery to identify productive uses of electricity in rural areas by detecting pollution signals from diesel irrigation pumps.

Though good quality data is often not readily available for Africa, Williams added, it does exist.

“We have spent years developing trusting relationships with utilities,” said the RIT academic. “Once our partners realize the value proposition we can offer, they are enthusiastic about sharing their data … We can’t do machine learning without high-quality data and this requires that organizations can effectively collect, organize, store and work with data. Data can transform the electricity sector, as shown by Canadian projects to use AI for energy savings, but capacity building is crucial.”

 

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