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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Houston researchers develop compact carbon capture tech for data centers

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Two scientists from the University of Houston have been experimenting with new carbon capture systems that fit inside a standard shipping container, which have the potential to make eliminating carbon output from industrial sites much easier.

The capture of industrial carbon is an important complement to the fight against climate change, as well as winning tax credits for businesses that use carbon capture technology.

The problem is that such systems are often measured in acres, making them expensive to build and extremely power-hungry to actually use. UH Engineering Professor Mim Rahimi and former UH Ph.D. student Ahmad Hassan (now a postdoctoral associate at Harvard) have managed to fit their new system, the Small Modular Electrochemical Container (SMECs), inside a standard 40-foot shipping crate, making them compact and modular enough to be installed almost anywhere for operations of all sizes. Their research was recently published in the journal Environmental Science & Technology.

“With a conventional system, you’re building a 130-foot-tall structure designed for a specific power plant. With our technology, we can adjust the capacity by simply turning containers on or off,” Rahimi said in a news release. “That flexibility is particularly important for data centers, where electricity can come from a combination of natural gas and renewable sources.”

Rahimi and Hassan used simulated gas models to show that under optimal conditions, the SMEC used electrochemically mediated amine regeneration (EMAR) cells developed in Rahimi’s lab to capture 90 percent of carbon under optimal conditions through 300 cycles over 50 hours.

Encouraged, the team then modeled a 360-megawatt natural gas power plant associated with OpenAI’s Stargate AI data center project in Abilene, Texas. In addition to the savings on infrastructure costs, 20 of the researchers’ shipping container systems were able to capture 98 percent of carbon from Stargate’s 875-acre campus based on the model.

The looming energy costs and subsequent carbon emissions from data centers are a real concern. Estimates from the U.S. Department of Energy hypothesize that 12 percent of America’s energy needs could be gobbled up by the centers as soon as 2028. That is a massive new source of carbon. The flexibility of the SMEC means they can be deployed wherever the centers spring up.

“We’re taking a technology that traditionally requires enormous infrastructure and finding a way to fit it inside a shipping container,” Rahimi added in the release. “That opens up entirely new possibilities for how and where carbon capture systems can be used.”

In the future, the researchers say they plan to look at ways to adapt the technology to capture carbon dioxide directly from the atmosphere.

Hertha Metals breaks ground on $100M high-purity iron factory in Conroe

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Shortly after announcing a $133.65 Series A funding round, Conroe-based Hertha Metals broke ground Oct. 8 on a $100 million factory that will produce steel-grade and magnet-grade high-purity iron.

Hertha’s Chalyx plant, located in Conroe, will manufacture a total of about 10,000 metric tons per year of magnet-grade and steel-grade high-purity iron. The factory will use Hertha’s single-step process to generate high-purity iron for rare-earth-magnet and steel manufacturers in the U.S.

Hertha says Chalyx will be the first U.S. commercial plant for production of magnet-grade high-purity iron.

Chalyx is being built next to Hertha’s headquarters and its Pi100 pilot plant, which will remain in operation. Chalyx and Pi100 will form the first modern-day iron and steel “innovation complex” in the U.S., the company says.

“I founded Hertha Metals because I believed we could significantly improve how the world makes iron and steel from ore, and that an industry so fundamental to our future still had enormous room for invention,” Laureen Meroueh, founder and CEO of Hertha, said in a press release.

The 4-year-old startup says the Chalyx complex will lay the foundation for its first 500,000-ton-per-year steel mill.

Chalyx’s first priority is making high-purity iron for U.S. manufacturers of rare-earth magnets, Hertha says. These magnets are critical components for electric vehicles, data centers, wind turbines and defense systems.

China produces an estimated 94 percent of high-purity iron for rare-earth magnets, according to Hertha.

Aside from iron for rare-earth magnets, Chalyx will make iron and steel for pilot projects in the steel industry.

The plant is expected to come online in late 2027, with production of magnet-grade high-purity iron starting in early 2028.

Today, Hertha employs 32 people, the company says. Once it’s fully operating, the Chalyx plant will employ about 50 people.

Just ahead of the groundbreaking, Hertha announced the $133.65 million Series A round, co-led by Khosla Ventures and Doerr Capital. The round included a $65 million equity investment from the Pentagon.

“Iron and steel have shaped human progress for thousands of years. And I believe there is still an enormous amount left to invent,” Meroueh said at the groundbreaking ceremony.

Canada-founded energy tech company moves global HQ to Energy Corridor

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Pulsed-power technology company BlueSpark Energy will open its new global headquarters in Houston’s Energy Corridor to house its engineering, research and development, manufacturing, commercial and digital teams.

“Houston isn’t simply our new headquarters; it’s where a new BlueSpark begins,” Kahina Abdeli-Galinier, president and CEO of BlueSpark, said in a news release. ”We’re building the well health technology the industry needs to get more from existing wells, reduce intervention costs and keep wells producing for longer. Our new home brings us closer to our customers and places us at the heart of one of the most exciting markets in the industry, with the talent pool to match.”

The company, which began in Calgary, plans to grow its Houston workforce to 100 employees by the end of 2028, while the manufacturing element is expected to be operational in February 2027.

According to BlueSpark, the new facility will feature double the manufacturing floorspace of its current site, and the extra space will allow it to scale its tool manufacturing.

The headquarters is on West Sam Houston Parkway. BlueSpark's Chief Technology Officer Matt Mohajer and Chief Commercial Officer Zach Wilbur are already leading teams at the new space, according to the release.

BlueSpark develops pulsed-power technology that uses electrical energy to clean oil and gas well components, remove scale buildup and restore production without damaging equipment. Its technology helps operators reduce downtime, improve well performance and extend the productive life of existing wells.

Late last year, the company named Kahina Abdeli-Galinier as its CEO. It has since rebranded and focused on expanding its technology into new applications, including plugging and abandonment, cement removal and water services.

“We’re investing heavily in our technology, both the physics and the intelligence and delivery layer around it,” Abdeli-Galinier added in the release. “Having our engineering, manufacturing, digital, R&D and commercial teams in one place allows us to move much faster, giving our customers the tools they need to keep wells healthy and producing more for longer.”