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DOE GOPHURRS Grid Undergrounding accelerates ARPA-E innovations to modernize the power grid, boosting reliability, resilience, and security via underground power lines, AI-driven surveying, robotic tunneling, and safer cable splicing for clean energy transmission and distribution.

Key Points

A DOE-ARPA-E program funding undergrounding tech to modernize the grid and improve reliability and security.

✅ $34M for 12 ARPA-E projects across 11 states

✅ Underground power lines to boost reliability and resilience

✅ Robotics, AI, and safer splicing to cut costs and risks

The U.S. Department of Energy (DOE) has earmarked $34 million for 12 innovative projects across 11 states to bolster and modernize the nation’s power grid, complementing efforts like a Washington state infrastructure grant announced to strengthen resilience.

Under the Grid Overhaul with Proactive, High-speed Undergrounding for Reliability, Resilience, and Security (GOPHURRS) program, this funding is focused on developing efficient and secure undergrounding technologies. The initiative is aligned with President Biden’s vision to strengthen America's energy infrastructure and advance smarter electricity infrastructure priorities, thereby creating jobs, enhancing energy and national security, and advancing towards a 100% clean electricity grid by 2035.

U.S. Secretary of Energy Jennifer M. Granholm emphasized the criticality of modernizing the power grid to facilitate a future powered by clean energy, including efforts to integrate more solar into the grid nationwide, thus reducing energy costs and bolstering national security. This development, she noted, is pivotal in bringing the grid into the 21st Century.

The U.S. electric power distribution system, comprising over 5.5 million line miles and over 180 million power poles, is increasingly vulnerable to weather-related damage, contributing to a majority of annual power outages. Extreme weather events, intensified by climate change impacts across the nation, exacerbate the frequency and severity of these outages. Undergrounding power lines is an effective measure to enhance system reliability for transmission and distribution grids.

Managed by DOE’s Advanced Research Projects Agency-Energy (ARPA-E), the newly announced projects include contributions from small and large businesses, national labs, and universities. These initiatives are geared towards developing technologies that will lower costs, expedite undergrounding operations, and enhance safety. Notable projects involve innovations like Arizona State University’s water-jet construction tool for deploying electrical cables underground, GE Vernova Advanced Research’s robotic worm tunnelling construction tool, and Melni Technologies’ redesigned medium-voltage power cable splice kits.

Other significant projects include Oceanit’s subsurface sensor system for avoiding utility damage during undergrounding and Pacific Northwest National Laboratory’s AI system for processing geophysical survey data. Prysmian Cables and Systems USA’s project focuses on a hands-free power cable splicing machine to improve network reliability and workforce safety, complementing state efforts like California's $500 million grid investment to upgrade infrastructure.

Complete descriptions of these projects can be found on the ARPA-E website, while a recent grid report card highlights challenges these efforts aim to address.

ARPA-E’s mission is to advance clean energy technologies with high potential and impact, playing a strategic role in America’s energy security, including military preparedness for grid cyberattacks as a priority. This commitment ensures the U.S. remains a global leader in developing and deploying advanced clean energy technologies.

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Canada AI Data Center Grid Integration aligns AI demand with renewable energy, energy storage, and grid reliability. It emphasizes transmission upgrades, liquid cooling efficiency, and policy incentives to balance economic growth with sustainable power.

Key Points

Linking AI data centers to Canada's grid with renewables, storage, and efficiency to ensure reliable, sustainable power.

✅ Diversify supply with wind, solar, hydro, and firm low-carbon resources

✅ Deploy grid-scale batteries to balance peaks and enhance reliability

✅ Upgrade transmission, distribution, and adopt liquid cooling efficiency

Artificial intelligence (AI) is revolutionizing various sectors, driving demand for data centers that support AI applications. In Canada, this surge in data center development presents both economic opportunities and challenges for the electricity grid, where utilities using AI to adapt to evolving demand dynamics. Integrating AI-focused data centers into Canada's electricity infrastructure requires strategic planning to balance economic growth with sustainable energy practices.​

Economic and Technological Incentives

Canada has been at the forefront of AI research for over three decades, establishing itself as a global leader in the field. The federal government has invested significantly in AI initiatives, with over $2 billion allocated in 2024 to maintain Canada's competitive edge and to align with a net-zero grid by 2050 target nationwide. Provincial governments are also actively courting data center investments, recognizing the economic and technological benefits these facilities bring. Data centers not only create jobs and stimulate local economies but also enhance technological infrastructure, supporting advancements in AI and related fields.​

Challenges to the Electricity Grid

However, the energy demands of AI data centers pose significant challenges to Canada's electricity grid, mirroring the power challenge for utilities seen in the U.S., as demand rises. The North American Electric Reliability Corporation (NERC) has raised concerns about the growing electricity consumption driven by AI, noting that the current power generation capacity may struggle to meet this increasing demand, while grids are increasingly exposed to harsh weather conditions that threaten reliability as well. This situation could lead to reliability issues, including potential blackouts during peak demand periods, jeopardizing both economic activities and the progress of AI initiatives.​

Strategic Integration Approaches

To effectively integrate AI data centers into Canada's electricity grids, a multifaceted approach is essential:

1. Diversifying Energy Sources: Relying solely on traditional energy sources may not suffice to meet the heightened demands of AI data centers. Incorporating renewable energy sources, such as wind, solar, and hydroelectric power, can provide sustainable alternatives. For instance, Alberta has emerged as a proactive player in supporting AI-enabled data centers, with the TransAlta data centre agreement expected to advance this momentum, leveraging its renewable energy potential to attract such investments.
    

2. Implementing Energy Storage Solutions: Integrating large-scale battery storage systems can help manage the intermittent nature of renewable energy. These systems store excess energy generated during low-demand periods, releasing it during peak times to stabilize the grid. In some communities, AI-driven grid upgrades complement storage deployments to optimize operations, which supports data center needs and community reliability.
    

3. Enhancing Grid Infrastructure: Upgrading transmission and distribution networks is crucial to handle the increased load from AI data centers. Strategic investments in grid infrastructure can prevent bottlenecks and ensure efficient energy delivery, including exploration of macrogrids in Canada to improve regional transfers, supporting both existing and new data center operations.​
    

4. Adopting Energy-Efficient Data Center Designs: Designing data centers with energy efficiency in mind can significantly reduce their power consumption. Innovations such as liquid cooling systems are being explored to manage the heat generated by high-density AI workloads, offering more efficient alternatives to traditional air cooling methods.

5. Establishing Collaborative Policies: Collaboration among government entities, utility providers, and data center operators is vital to align energy policies with technological advancements. Developing regulatory frameworks that incentivize sustainable practices can guide the growth of AI data centers in harmony with grid capabilities.​
    

Integrating AI data centers into Canada's electricity grids presents both significant opportunities and challenges. By adopting a comprehensive strategy that includes diversifying energy sources, implementing advanced energy storage, enhancing grid infrastructure, promoting energy-efficient designs, and fostering collaborative policies, Canada can harness the benefits of AI while ensuring a reliable and sustainable energy future. This balanced approach will position Canada as a leader in both AI innovation and sustainable energy practices.

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U.S. Russian Uranium Import Ban reshapes nuclear fuel supply, bolstering energy security, domestic enrichment, and sanctions policy while diversifying reactor-grade uranium sources and supply chains through allies, waivers, and funding to sustain utilities and reliability.

Key Points

A U.S. law halting Russian uranium imports to boost energy security diversify nuclear fuel and revive U.S. enrichment.

✅ Cuts Russian revenue; reduces geopolitical risk.

✅ Funds U.S. enrichment; supports reactor fuel supply.

✅ Enables waivers to prevent utility shutdowns.

In a move aimed at reducing reliance on Russia and fostering domestic energy security for the long term, the United States has banned imports of Russian uranium, a critical component of nuclear fuel. This decision, signed into law by President Biden in May 2024, marks a significant shift in the U.S. nuclear fuel supply chain and has far-reaching economic and geopolitical implications.

For decades, Russia has been a major supplier of enriched uranium, a processed form of uranium used to power nuclear reactors. The U.S. relies on Russia for roughly a quarter of its enriched uranium needs, feeding the nation's network of 94 nuclear reactors operated by utilities which generate nearly 20% of the country's electricity. This dependence has come under scrutiny in recent years, particularly following Russia's invasion of Ukraine.

The ban on Russian uranium is a multifaceted response. First and foremost, it aims to cripple a key revenue stream for the Russian government. Uranium exports are a significant source of income for Russia, and by severing this economic tie, the U.S. hopes to weaken Russia's financial capacity to wage war.

Second, the ban serves as a national energy security measure. Relying on a potentially hostile nation for such a critical resource creates vulnerabilities. The possibility of Russia disrupting uranium supplies, either through political pressure or in the event of a wider conflict, is a major concern. Diversifying the U.S. nuclear fuel supply chain mitigates this risk.

Third, the ban is intended to revitalize the domestic uranium mining and enrichment industry, building on earlier initiatives such as Trump's uranium order announced previously. The U.S. has historically been a major uranium producer, but environmental concerns and competition from cheaper foreign sources led to a decline in domestic production. The ban, coupled with $2.7 billion in federal funding allocated to expand domestic uranium enrichment capacity, aims to reverse this trend.

The transition away from Russian uranium won't be immediate. The law includes a grace period until mid-August 2024, and waivers can be granted to utilities facing potential shutdowns if alternative suppliers aren't readily available. Finding new sources of enriched uranium will require forging partnerships with other uranium-producing nations like Kazakhstan, Canada on minerals cooperation, and Australia.

The long-term success of this strategy hinges on several factors. First, successfully ramping up domestic uranium production will require overcoming regulatory hurdles and addressing environmental concerns, alongside nuclear innovation to modernize the fuel cycle. Second, securing reliable alternative suppliers at competitive prices is crucial, and supportive policy frameworks such as the Nuclear Innovation Act now in law can help. Finally, ensuring the continued safe and efficient operation of existing nuclear reactors is paramount.

The ban on Russian uranium is a bold move with significant economic and geopolitical implications. While challenges lie ahead, the potential benefits of a more secure and domestically sourced nuclear fuel supply chain are undeniable. The success of this initiative will be closely watched not only by the U.S. but also by other nations seeking to lessen their dependence on Russia for critical resources.

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Attosecond Electron Transport uses ultrafast lasers and single-cycle light pulses to drive tunneling in bowtie gold nanoantennas, enabling sub-femtosecond switching in optoelectronic nanostructures and surpassing picosecond silicon limits for next-gen computing.

Key Points

A light-driven method that manipulates electrons with ultrafast pulses to switch currents within attoseconds.

✅ Uses single-cycle light pulses to drive electron tunneling

✅ Achieves 600 attosecond current switching in nano-gaps

✅ Enables optoelectronic, plasmonic devices beyond silicon

When it comes to data transfer and computing, the faster we can shift electrons and conduct electricity the better – and scientists have just been able to transport electrons at sub-femtosecond speeds (less than one quadrillionth of a second) in an experimental setup.

The trick is manipulating the electrons with light waves that are specially crafted and produced by an ultrafast laser. It might be a long while before this sort of setup makes it into your laptop, but similar precision is seen in noninvasive interventions where targeted electrical stimulation can boost short-term memory for limited periods, and the fact they pulled it off promises a significant step forward in terms of what we can expect from our devices.

Right now, the fastest electronic components can be switched on or off in picoseconds (trillionths of a second), a pace that intersects with debates over 5G electricity use as systems scale, around 1,000 times slower than a femtosecond.

With their new method, the physicists were able to switch electric currents at around 600 attoseconds (one femtosecond is 1,000 attoseconds).

"This may well be the distant future of electronics," says physicist Alfred Leitenstorfer from the University of Konstanz in Germany. "Our experiments with single-cycle light pulses have taken us well into the attosecond range of electron transport."

Leitenstorfer and his colleagues were able to build a precise setup at the Centre for Applied Photonics in Konstanz. Their machinery included both the ability to carefully manipulate ultrashort light pulses, and to construct the necessary nanostructures, including graphene architectures, where appropriate.

The laser used by the team was able to push out one hundred million single-cycle light pulses every single second in order to generate a measurable current. Using nanoscale gold antennae in a bowtie shape (see the image above), the electric field of the pulse was concentrated down into a gap measuring just six nanometres wide (six thousand-millionths of a metre).

As a result of their specialist setup and the electron tunnelling and accelerating it produced, the researchers could switch electric currents at well under a femtosecond – less than half an oscillation period of the electric field of the light pulses.

Getting beyond the restrictions of conventional silicon semiconductor technology has proved a challenge for scientists, but using the insanely fast oscillations of light to help electrons pick up speed could provide new avenues for pushing the limits on electronics, as our power infrastructure is increasingly digitized and integrated with photonics.

And that's something that could be very advantageous in the next generation of computers: scientists are currently experimenting with the way that light and electronics could work together in all sorts of different ways, from noninvasive brain stimulation to novel sensors.

Eventually, Leitenstorfer and his team think that the limitations of today's computing systems could be overcome using plasmonic nanoparticles and optoelectronic devices, using the characteristics of light pulses to manipulate electrons at super-small scales, with related work even exploring electricity from snowfall under specific conditions.

"This is very basic research we are talking about here and may take decades to implement," says Leitenstorfer.

The next step is to experiment with a variety of different setups using the same principle. This approach might even offer insights into quantum computing, the researchers say, although there's a lot more work to get through yet - we can't wait to see what they'll achieve next.

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U.S. Solar Generation 2017 surpassed biomass, delivering 77 million MWh versus 64 million MWh, trailing only hydro and wind; driven by PV expansion, capacity additions, and utility-scale and small-scale growth, per EIA.

Key Points

It was the year U.S. solar electricity exceeded biomass, hitting 77 million MWh and trailing only hydro and wind.

✅ Solar: 77 million MWh; Biomass: 64 million MWh (2017, EIA)

✅ PV expansion; late-year capacity additions dampen annual generation

✅ Hydro: 300 and wind: 254 million MWh; solar thermal ~3 million MWh

Electricity generation from solar resources in the United States reached 77 million megawatthours (MWh) in 2017, surpassing for the first time annual generation from biomass resources, which generated 64 million MWh in 2017. Among renewable sources, only hydro and wind generated more electricity in 2017, at 300 million MWh and 254 million MWh, respectively. Biomass generating capacity has remained relatively unchanged in recent years, while solar generating capacity has consistently grown.

Annual growth in solar generation often lags annual capacity additions because generating capacity tends to be added late in the year. For example, in 2016, 29% of total utility-scale solar generating capacity additions occurred in December, leaving few days for an installed project to contribute to total annual generation despite being counted in annual generating capacity additions. In 2017, December solar additions accounted for 21% of the annual total. Overall, solar technologies operate at lower annual capacity factors and experience more seasonal variation than biomass technologies.

Biomass electricity generation comes from multiple fuel sources, such as wood solids (68% of total biomass electricity generation in 2017), landfill gas (17%), municipal solid waste (11%), and other biogenic and nonbiogenic materials (4%).These shares of biomass generation have remained relatively constant in recent years, even as renewables' rise in 2020 across the grid.

Solar can be divided into three types: solar thermal, which converts sunlight to steam to produce power; large-scale solar photovoltaic (PV), which uses PV cells to directly produce electricity from sunlight; and small-scale solar, which are PV installations of 1 megawatt or smaller. Generation from solar thermal sources has remained relatively flat in recent years, at about 3 million MWh, even as renewables surpassed coal in 2022 nationwide. The most recent addition of solar thermal capacity was the Crescent Dunes Solar Energy plant installed in Nevada in 2015, and currently no solar thermal generators are under construction in the United States.

Solar photovoltaic systems, however, have consistently grown in recent years, as indicated by 2022 U.S. solar growth metrics across the sector. In 2014, large-scale solar PV systems generated 15 million MWh, and small-scale PV systems generated 11 million MWh. By 2017, annual electricity from those sources had increased to 50 million MWh and 24 million MWh, respectively, with projections that solar could reach 20% by 2050 in the U.S. mix. By the end of 2018, EIA expects an additional 5,067 MW of large-scale PV to come online, according to EIA’s Preliminary Monthly Electric Generator Inventory, with solar and storage momentum expected to accelerate. Information about planned small-scale PV systems (one megawatt and below) is not collected in that survey.

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US Power Grid Blackouts highlight aging infrastructure, rising outages, and declining reliability per DOE and NERC data, with weather-driven failures, cyberattack risk, and underinvestment stressing utilities, transmission lines, and modernization efforts.

Key Points

US power grid blackouts are outages caused by aging grid assets, severe weather, and cyber threats reducing reliability.

✅ DOE and NERC data show rising outage frequency and duration.

✅ Weather now drives 68-73% of major failures since 2008.

✅ Modernization, hardening, and cybersecurity investments are critical.

The United States power grid has more blackouts than any other country in the developed world, according to new data and U.S. blackout warnings that spotlight the country’s aging and unreliable electric system.

The data by the Department of Energy (DOE) and the North American Electric Reliability Corporation (NERC) shows that Americans face more power grid failures lasting at least an hour than residents of other developed nations.

And it’s getting worse.

Going back three decades, the US grid loses power 285 percent more often than it did in 1984, when record keeping began, International Business Times reported. The power outages cost businesses in the United States as much as $150 billion per year, according to the Department of Energy.

Customers in Japan lose power for an average of 4 minutes per year, as compared to customers in the US upper Midwest (92 minutes) and upper Northwest (214), University of Minnesota Professor Massoud Amin told the Times. Amin is director of the Technological Leadership Institute at the school.

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The grid is becoming less dependable each year, he said.

“Each one of these blackouts costs tens of hundreds of millions, up to billions, of dollars in economic losses per event,” Amin said. “… We used to have two to five major weather events per year [that knocked out power], from the ‘50s to the ‘80s. Between 2008 and 2012, major outages caused by weather, reflecting extreme weather trends, increased to 70 to 130 outages per year. Weather used to account for about 17 to 21 percent of all root causes. Now, in the last five years, it’s accounting for 68 to 73 percent of all major outages.”

As previously reported by Off The Grid News, the power grid received a “D+” grade on its power grid report card from the American Society of Civil Engineers (ASCE) in 2013. The power grid grade card rating means the energy infrastructure is in “poor to fair condition and mostly below standard, with many elements approaching the end of their service life.” It further means a “large portion of the system exhibits significant deterioration” with a “strong risk of failure.”

“America relies on an aging electrical grid and pipeline distribution systems, some of which originated in the 1880s,” the 2013 ASCE report read. “Investment in power transmission has increased since 2005, but ongoing permitting issues, weather events, and limited maintenance have contributed to an increasing number of failures and power interruptions.”

As The Times noted, the US power grid as it exists today was built shortly after World War II, with the design dating back to Thomas Edison. While Edison was a genius, he and his contemporaries could not have envisioned all the strains the modern world would place upon the grid and the multitude of tech gadgets many Americans treat as an extension of their body. While the drain on the grid has advanced substantially, the infrastructure itself has not.

There are approximately 5 million miles of electrical transmission lines throughout the United States, and thousands of power generating plants dot the landscape. The electrical grid is managed by a group of 3,300 different utilities and serve about 150 million customers, The Times said. The entire power grid system is currently valued at $876 billion.

Many believe the grid is vulnerable to an attack on substations and other threats.

Former Department of Homeland Security Secretary Janet Napolitano once said that a power grid cyber attack is a matter of “when” not “if,” as Russians hacked utilities incidents have shown.

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