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.

Using machine learning to discover materials for plasma-assisted catalytic reactions
Developing a model to simulate complex interactions to better understand microwave-plasma-assisted heating
Designing catalysts supports for efficient microwave-assisted reactions
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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Japanese company plans $357M solar manufacturing plant in Houston area

coming soon

Japanese solar manufacturing company TOYO Co. Ltd. plans to invest $357 million to bring a 1.5-gigwatt solar cell manufacturing facility to the Houston area.

TOYO’s latest state-of-the-art facility will be co-located at its existing solar module site in Humble, according to a news release from the company. It will produce heterojunction (HJT) solar cells, which are known to be more durable and efficient with a higher heat threshold.

TOYO reports that the new facility will create 400 full-time manufacturing jobs. The project is expected to be completed in 20 months, which includes an initial pilot production.

"Expanding into domestic cell manufacturing is the natural next step in our commitment to creating an integrated onshore solar supply chain from polysilicon to panels," Takahiko Onozuka, chairman and CEO of TOYO, said in the news release. "Co-locating 1.5 GW of HJT cell capacity at our Houston module site significantly optimizes our capital allocation and infrastructure spend.”

TOYO entered the Houston market in 2024 through its acquisition of a majority stake in Solar Plus Technology Texas LLC.

Earlier this year, it began producing solar modules at its 567,140-square-foot plant in Lovett Industrial’s Nexus North Logistics Park. At the time, the company said it planned to expand manufacturing capacity to 6.5 gigawatts.

"The new cell plant reflects TOYO's long-term strategy to build a fully FEOC-compliant domestic manufacturing platform focused on serving the needs of the U.S. utility-scale solar market," Rhone Resch, TOYO's chief strategy officer, added in the release. "By producing premium solar products in the United States, we will be well positioned to meet the market's evolving domestic content requirements while strengthening supply chain security and reliability. Looking ahead, we believe HJT is the optimal technology platform for integrating next-generation perovskite solar cells, which we expect will drive the next major advancement in solar conversion efficiency and support TOYO's long-term technology roadmap.”

New survey reveals concerns over AI data center growth in Houston

data findings

A new report out of the University of Houston shows that area residents remain wary of the long-term effects of operating data centers.

The recent survey from the University of Houston’s latest SPACE City Panel, conducted by the Center for Public Policy at the Hobby School of Public Affairs, shows that while 85 percent of Houston-area residents use AI, nearly 63 percent oppose the construction of AI data centers within 1 mile of their homes.

Respondents’ concerns centered around data centers’ high energy demand and the area’s power grid reliability. According to the survey, 32 percent of residents who oppose local data center projects would be more likely to support the centers if they relied on renewable energy over fossil fuels.

“Respondents understand that AI can bring economic and educational benefits, but they are also concerned about the physical infrastructure needed to fuel AI, especially data centers,” Soran Mohtadi, post-doctoral fellow at the Hobby School and a researcher on the report, said in a news release. “This physical infrastructure demands more electricity and water, leading to environmental impacts.”

Experts estimate that 6.5 gigawatts of data center capacity will be added to the Texas grid by 2030. And Houston’s data center capacity is predicted to more than double by 2028.

The Electric Reliability Council of Texas also projects electricity demand could reach 218 gigawatts by 2031, which would be more than double the record peak set in August 2023. Data centers are expected to account for 86 gigawatts of that new demand.

Survey respondents also said they are concerned about the state's future water supply, given the large amounts of water that data centers need to stay cool.

In terms of who’s responsible for that issue, 57.6 percent of respondents said they put the onus on Texas lawmakers, while 31.5 percent say tech companies should be responsible.

Additionally, more than 75 percent of respondents believed that data center developers and technology companies—not residents—should bear the cost of infrastructure upgrades to support data centers.

“Every decision legislators make has implications on residents’ everyday lives and local infrastructure now and in the future,” Maria P. Perez Arguelles, lead researcher on the report and research assistant professor at the Hobby School, added in the news release. “This issue is going to become more important in years to come, so this is just the beginning.”

Read the full report here.

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This article originally appeared on our sister site, EnergyCapitalHTX.com.

American Airlines and Google ink record-breaking deal for cleaner jet fuel

SAF DEAL

Fort Worth-based American Airlines has sealed a record-breaking deal with tech giant Google to bolster the use of cleaner jet fuel.

The deal involves Google’s purchase of sustainable aviation fuel certificates tied to fuel that American will use at Chicago O’Hare International Airport, one of the airline’s hubs. These certificates enable companies like Google to pay for the environmental benefits of sustainable jet fuel without actually using the fuel.

American and Google say this is the largest publicly announced certificate deal between an airline and a corporate customer.

Google says environmental gains from the certificates will help it cut emissions from employees’ business travel.

The agreement covers 35 million gallons of sustainable aviation fuel over three years, resulting in a nearly 300,000 metric tons of carbon dioxide equivalent emissions. American has agreed to buy the fuel from San Antonio-based Valero.

“Our industry-leading agreement with Google is a critical step forward in reducing emissions from our operations,” Jill Blickstein, American’s chief sustainability officer, said in a news release. “By working with leaders like Google who share our commitment to innovation, we’re helping to grow demand for [cleaner jet fuel] and support the development of a stronger, more resilient market.”

Sustainable aviation fuel can reduce emissions by up to 80 percent compared with traditional jet fuel. It is made from feedstocks, like waste oil and fats, or it can be produced synthetically using captured carbon dioxide and renewable electricity.

The aviation industry accounts for about 2.5 percent of carbon dioxide emissions around the world, according to the International Energy Agency.

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