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Houston researchers earn $3.3M in DOE funding to develop safer underground power line installation

going under

Researchers have secured $3.3 million in funding to develop an AI-powered subsurface sensing system aimed at improving the safety and efficiency of underground power line installation. Photo via Getty Images

Researchers from the University of Houston — along with a Hawaiian company — have received $3.3 million in funding to explore artificial intelligence-backed subsurface sensing system for safe and efficient underground power line installation.

Houston's power lines are above ground, but studies show underground power is more reliable. Installing underground power lines is costly and disruptive, but the U.S. Department of Energy, in an effort to find a solution, has put $34 million into its new GOPHURRS program, which stands for Grid Overhaul with Proactive, High-speed Undergrounding for Reliability, Resilience, and Security. The funding has been distributed across 12 projects in 11 states.

“Modernizing our nation’s power grid is essential to building a clean energy future that lowers energy costs for working Americans and strengthens our national security,” U.S. Secretary of Energy Jennifer M. Granholm says in a DOE press release.

UH and Hawaii-based Oceanit are behind one of the funded projects, entitled “Artificial Intelligence and Unmanned Aerial Vehicle Real-Time Advanced Look-Ahead Subsurface Sensor.”

The researchers are looking a developing a subsurface sensing system for underground power line installation, potentially using machine learning, electromagnetic resistivity well logging, and drone technology to predict and sense obstacles to installation.

Jiefu Chen, associate professor of electrical and computer engineering at UH, is a key collaborator on the project, focused on electromagnetic antennas installed on UAV and HDD drilling string. He's working with Yueqin Huang, assistant professor of information science technology, who leads the geophysical signal processing and Xuqing Wu, associate professor of computer information systems, responsible for integrating machine learning.

“Advanced subsurface sensing and characterization technologies are essential for the undergrounding of power lines,” says Chen in the release. “This initiative can enhance the grid's resilience against natural hazards such as wildfires and hurricanes.”

“If proven successful, our proposed look-ahead subsurface sensing system could significantly reduce the costs of horizontal directional drilling for installing underground utilities,” Chen continues. “Promoting HDD offers environmental advantages over traditional trenching methods and enhances the power grid’s resilience.”

University of Houston professor Xiaonan Shan and the rest of his research team are celebrating fresh funding from a federal grant. Photo via UH.edu

Houston scientists land $1M NSF funding for AI-powered clean energy project

A team of scientists from the University of Houston, in collaboration with Howard University in Washington D.C., has received a $1 million award from the National Science Foundation for a project that aims to automate the discovery of new clean-energy catalysts.

The project, dubbed "Multidisciplinary High-Performance Computing and Artificial Intelligence Enabled Catalyst Design for Micro-Plasma Technologies in Clean Energy Transition," aims to use machine learning and AI to improve the efficiency of catalysts in hydrogen generation, carbon capture and energy storage, according to UH.

“This research directly contributes to these global challenges,” Jiefu Chen, the principal investigator of the project and associate professor of electrical and computer engineering, said in a statement. “This interdisciplinary effort ensures comprehensive and innovative solutions to complex problems.”

Chen is joined by Lars Grabow, professor of chemical and biomolecular engineering; Xiaonan Shan, associate professor of electrical and computing engineering; and Xuquing Wu, associate professor of information science technology. Su Yan, an associate professor of electrical engineering and computer science at Howard University, is collaborating on the project.

The University of Houston team: Xiaonan Shan, associate professor electrical and computing engineering, Jiefu Chen, associate professor of electrical and computer engineering, Lars Grabow, professor of chemical and biomolecular engineering, and Xuquing Wu, associate professor of information science technology. Photo via UH.edu

The team will create a robotic synthesis and testing facility that will automate the experimental testing and verification process of the catalyst design process, which traditionally is slow-going. It will implement AI and advanced, unsupervised machine learning techniques, and have a special focus on plasma reactions.

The project has four main focuses, according to UH.

  1. Using machine learning to discover materials for plasma-assisted catalytic reactions
  2. Developing a model to simulate complex interactions to better understand microwave-plasma-assisted heating
  3. Designing catalysts supports for efficient microwave-assisted reactions
  4. Developing a bench scale reactor to demonstrate the efficiency of the catalysts support system

Additionally, the team will put the funding toward the development of a multidisciplinary research and education program that will train students on using machine learning for topics like computational catalysis, applied electromagnetics and material synthesis. The team is also looking to partner with industry on related projects.

“This project will help create a knowledgeable and skilled workforce capable of addressing critical challenges in the clean energy transition,” Grabow added in a statement. “Moreover, this interdisciplinary project is going to be transformative in that it advances insights and knowledge that will lead to tangible economic impact in the not-too-far future.”

This spring, UH launched a new micro-credential course focused on other applications for AI and robotics in the energy industry.

Around the same time, Microsoft's famous renowned co-founder Bill Gates spoke at CERAWeek to a standing-room-only crowd on the future of the industry. Also founder of Breakthrough Energy, Gates addressed the topic of AI.

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Texas A&M wins $5.4M DOE grant for advanced nuclear fuel research

fresh funding

The U.S. Department of Energy has awarded Texas A&M Engineering Experiment Station (TEES) a $5.4 million grant to research ways to turn nuclear waste into fuel.

The goal of the project, “Turning Nuclear Waste into Fuel with a Thorium Molten Salt Reactor,” is to develop innovative reactor fuel technology that could help transform long-lived nuclear waste into a valuable energy resource while advancing the future of nuclear power, according to Texas A&M.

Lin Shao, a Texas A&M professor of nuclear engineering, will lead the project and unite researchers from TEES, Savannah River National Laboratory and Abilene, Texas-based nuclear power company Natura Resources. The team will use experimental testing, fuel preparation, reactor design and computational modeling in their work.

“Texas A&M Engineering is honored to receive this support from the Department of Energy to advance groundbreaking nuclear energy technologies,” Robert H. Bishop, vice chancellor and dean of Texas A&M Engineering and director of TEES, said in a news release. “This research aligns directly with our mission to solve the nation’s most pressing engineering challenges through innovation and collaboration. We have an opportunity to develop solutions that reduce nuclear waste, improve energy reliability and help maintain American leadership in advanced nuclear technologies.”

Texas A&M’s award is part of the DOE's Advanced Research Projects Agency-Energy (ARPA-E) $50 million advancement for next-generation nuclear fuels through the High-performance Optimized Recycled Nuclear Isotopes for Gen IV reactors (HORNIG) program. Texas A&M was one of eight projects selected as part of the ARPA-E efforts.

“America’s energy future depends on bold innovation and strong partnerships between the federal government, national laboratories, universities and industry,” U.S. Deputy Secretary of Energy James P. Danly said when he awarded the grant on campus Oct. 29. “This project demonstrates how we can address long-term nuclear waste challenges while advancing technologies that strengthen our nation’s energy security. The Department of Energy is proud to support research that has the potential to unlock new value from existing nuclear materials and accelerate the deployment of advanced reactor systems.”

Zero-emission electric air taxi network to land in Texas in 2027

Electric Travel

San Jose, California-based aerospace company Archer Aviation is bringing its air-taxi system to the “Texas triangle” of Houston, Austin and Dallas-Fort Worth.

Currently, the planned zero-emission electric air taxi networks will use Archer’s Midnight air taxi to “turn 60- to 90-minute drives to major airports, business districts and major destinations into 10- to 20-minute flights,” the company said in a news release. Archer plans to begin flights in the Texas triangle next year.

The Midnight air taxi is an all-electric vertical takeoff and landing (eVTOL) aircraft. It can carry four passengers and a pilot and is designed for consecutive flights of about 20 miles.

Archer cites the Texas triangle as one of the busiest and fastest-growing “megaregions” in the country due to its proximity to coastal regions, major airports, and a number of business districts.

Archer Chief Commercial Officer Nikhil Goel described the air taxi experience to CW Houston as “100 times quieter than a helicopter for the price of an Uber Black.” He added that the air taxis are a combination of a helicopter, a small airplane and a drone.

In Houston, Archer’s air taxi network will aim to connect George Bush Intercontinental, William P. Hobby and Sugar Land Regional Airport with downtown destinations, including the Thompson Hotel helipad, and Galveston.

In Austin, it plans to link the city's Austin-Bergstrom International Airport and Austin Executive Airport with the F1 Circuit Helipad at the Circuit of the Americas. Archer debuted its Midnight aircraft at the F1 Prix in the Fan Zone and the F1 Paddock at Austin’s COTA.

The Dallas-Fort Worth network is slated to include Dallas-Fort Worth International Airport, Dallas Love Field, Addison Airport, Arlington Municipal Airport, Fort Worth Meacham International Airport and Perot Field Fort Worth Alliance Airport, plus major business hubs like Frisco Station.

“Texas is setting the bar for America’s leadership in the next generation of aviation,” Adam Goldstein, founder and CEO of Archer Aviation, said in the release. “Our planned networks will make the benefits of electric air taxis real for Texans — trading hours in traffic for minutes in the air, while connecting the biggest airports, business districts and sporting hubs in ways that America’s largest megaregion needs to grow.”

Archer is working with state and local partners to develop charging infrastructure and plans to pursue Texas operations through the White House’s eVTOL Integration Pilot Program, according to the release. It recently completed its "No Roads" flight tour, which included multiple flights over the San Francisco Bay, and flew to seven cities over three days.

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This article first appeared on InnovationMap.com.

Fervo Energy scores third consecutive nod on MIT climatech list

top honor

Houston-based geothermal power company Fervo Energy has notched a three-peat on MIT Technology Review’s annual 10 Climate Tech Companies to Watch List.

“The newly public company is betting that Al’s power boom will help turn enhanced geothermal energy into a scalable reality,” MIT Technology Review says of the three-time honoree.

Fervo went public in May through a $2.2 billion IPO.

Other Fervo recent milestones include:

“We are in the midst of a once-in-a-generation surge in power demand that is likely to dictate the outcome of the American success story in both artificial intelligence and industrial growth, but also the extent to which people have access to affordable, reliable power,” Tim Latimer, co-founder, chairman, president and CEO, said during Fervo’s second-quarter earnings call.

“The stakes have never been higher,” he added, “and I’ve never been more convinced that Fervo is uniquely positioned to meet this moment.”

Also making MIT Technology Review’s fourth annual list were:

  • Greentown Houston alum Energy Dome, based in Milan, Italy. “Energy Dome is using the gas to deliver cheap long-duration energy storage for the grid,” MIT Technology Review says.
  • Greentown Houston alum Moment Energy, based in Vancouver, Canada. “The startup is betting that repurposing — rather than recycling — used EV batteries will help buoy much-needed U.S. supply,” MIT Technology Review says.
  • Greentown Boston member Form Energy, based in Somersville, Massachusetts. It’s a three-time honoree. “Form’s 100-hour batteries could make clean energy more weather-resilient and help power data centers,” MIT Technology Review says.

Greentown Labs is an incubator for climatech and energy startups that's co-located in Houston and Boston. Fervo is also an alum of Greentown Houston.

“Whether early-stage startup or multinational corporation, the businesses we’ve chosen are working on technologies to help us address climate change or adapt to our warming world,” MIT Technology Review says. “There’s an urgent need for these innovators: We must begin to drastically reduce emissions to avoid the deadliest impacts of climate change, while also contending with its harmful effects.”

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