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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Solar power and storage help save Texans millions on electric bills, CEO tells Senate

price stability

Solar power and battery storage are saving Texans hundreds of millions of dollars on their electric bills, the president and CEO of the Solar Energy Industries Association recently told a congressional committee.

Abigail Ross Hopper, the association’s president and CEO, said in testimony given to the U.S. Senate Environment and Public Works Committee that states like Texas that are adding significant capacity for solar power and battery storage are enjoying lower, more stable prices for electricity.

“Unsubsidized solar is now the cheapest source of electricity in history in much of the country,” Hopper said. “With no fuel costs, solar provides a hedge against natural gas price volatility that continues to cause electricity price spikes.”

“The only way to put downward pressure on prices is by bringing more power online, not less,” she added.

To illustrate the value of solar power and battery storage, Hopper compared two hot summer days in Texas—one in July 2022 and the other in July 2025.

Hopper explained that the Electric Reliability Council of Texas (ERCOT) had begun installing solar on its grid in 2022 but had very little battery storage. ERCOT manages 90 percent of the state’s electrical load.

When ERCOT grid conditions buckled under high demand on the highlighted day in 2022, the price of electricity spiked to nearly $1,500 per megawatt-hour, Hopper said.

“Three years later, the amount of solar had increased substantially and was complemented by energy storage,” she said.

On the specified day in 2025, under even greater demand than three years earlier, sizable amounts of solar power, battery storage and wind power kept ERCOT’s midday price of electricity low and stable—around $50 per megawatt-hour. That dollar amount represented a nearly 100 percent decrease compared with the highlighted day in 2022.

Solar and wind supplied nearly 40 percent of Texas’ power during the first nine months of 2025, according to the U.S. Energy Information Administration (EIA).

Despite the state’s expansion of solar power and battery storage capacity, residential electricity prices in ERCOT’s territory rose 30 percent from 2020 to 2025 and are expected to climb another 29 percent from 2025 to 2030, according to a forecast from the Texas Energy Poverty Research Institute.

The increase in electric bills is tied to factors such as:

  • Higher natural gas prices
  • Greater demand from AI data centers and cryptomining facilities
  • Extreme weather
  • Population growth
  • Development of new transmission and distribution lines

The strain on ERCOT’s grid is only getting worse. An EIA forecast predicts demand for ERCOT electricity will jump 9.6 percent in 2026, and ERCOT expects a 50 percent jump in demand by 2029.

Spring-based private equity firm acquires West Texas wind farm

power deal

Spring-based private equity firm Arroyo Investors has teamed up with ONCEnergy, a Portland, Oregon-based developer of clean energy projects, to buy a 60-megawatt wind farm southeast of Amarillo.

Skyline Renewables, which acquired the site, known as the Whirlwind Energy Center, in 2018, was the seller. The purchase price wasn’t disclosed.

Whirlwind Energy Center, located in Floyd County, West Texas, comprises 26 utility-scale wind turbines. The wind farm, built in 2007, supplies power to Austin Energy.

“The acquisition reflects our focus on value-driven investments with strong counterparties, a solid operating track record, and clear relevance to markets with growing capacity needs,” Brandon Wax, a partner at Arroyo, said in a press release. “Partnering with ONCEnergy allows us to leverage deep operational expertise while expanding our investment footprint in the market.”

Arroyo focuses on energy infrastructure investments in the Americas. Its portfolio includes Spring-based Seaside LNG, which produces liquefied natural gas and LNG transportation services.

Last year, Arroyo closed an investment fund with more than $1 billion in total equity commitments.

Since its launch in 2003, Arroyo has “remained committed to investing in high-quality assets, creating value and positioning assets for exit within our expected hold period,” founding partner Chuck Jordan said in 2022.

$524M Texas Hill Country solar project powered by Hyundai kicks off

powering up

Corporate partners—including Hyundai Engineering & Construction, which maintains a Houston office—kicked off a $524 million solar power project in the Texas Hill Country on Jan. 27.

The 350-megawatt, utility-scale Lucy Solar Project is scheduled to go online in mid-2027 and represents one of the largest South Korean-led investments in U.S. renewable energy.

The solar farm, located on nearly 2,900 acres of ranchland in Concho County, will generate 926 gigawatt-hours of solar power each year. That’s enough solar power to supply electricity to roughly 65,000 homes in Texas.

Power to be produced by the hundreds of thousands of the project’s solar panels has already been sold through long-term deals to buyers such as Starbucks, Workday and Plano-based Toyota Motor North America.

The project is Hyundai Engineering & Construction’s largest solar power initiative outside Asia.

“The project is significant because it’s the first time Hyundai E&C has moved beyond its traditional focus on overseas government contracts to solidify its position in the global project financing market,” the company, which is supplying solar modules for the project, says on its website.

Aside from Hyundai Engineering & Construction, a subsidiary of automaker Hyundai, Korean and U.S. partners in the solar project include Korea Midland Power, the Korea Overseas Infrastructure & Urban Development Corp., solar panel manufacturer Topsun, investment firm EIP Asset Management, Primoris Renewable Energy and High Road Energy Marketing.

Primoris Renewable Energy is an Aurora, Colorado-based subsidiary of Dallas-based Primoris Services Corp. Another subsidiary, Primoris Energy Services, is based in Houston.

High Road is based in the Austin suburb of West Lake Hills.

“The Lucy Solar Project shows how international collaboration can deliver local economic development and clean power for Texas communities and businesses,” says a press release from the project’s partners.