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

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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 microgrid company names new CEO

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Houston-based electric microgrid company Enchanted Rock has named a new CEO.

John Carrington has assumed the role after serving as Enchanted Rock's executive chairman since June, the company announced earlier this month.

Carrington most recently was CEO of Houston-based Stem, which offers AI-enabled software and services designed for setting up and operating clean energy facilities. He stepped down as Stem’s CEO in September 2024. Stem, which was founded in 2006 and went public under Carrington's leadership in 2021, was previously based in San Francisco.

Carrington has also held senior leadership roles at Miasolé, First Solar and GE.

Corey Amthor has served as acting CEO of Enchanted Rock since June. He succeeded Enchanted Rock founder Thomas McAndrew in the role, with McAndrew staying on with the company as a strategic advisor and board member. With the hiring of Carrington, Amthor has returned to his role as president. According to the company, Amthor and Carrington will "partner to drive the company’s next phase of growth."

“I’m proud to join a leadership team known for technical excellence and execution, and with our company-wide commitment to innovation, we are well positioned to navigate this moment of unprecedented demand and advance our mission alongside our customers nationwide,” Carrington said in the news release. “Enchanted Rock’s technology platform delivers resilient, clean and scalable ultra-low-emissions onsite power that solves some of the most urgent challenges facing our country today. I’m energized by the strong momentum and growing market demand for our solutions, and we remain committed to providing data centers and other critical sectors with the reliable power essential to their operations.”

This summer, Enchanted Rock also announced that Ian Blakely would reassume the role of CFO at the company. He previously served as chief strategy officer. Paul Froutan, Enchanted Rock's former CTO, was also named COO last year.

6 major acquisitions that fueled the Houston energy sector in 2025

2025 In Review

Editor's note: As 2025 comes to a close, we're revisiting the biggest headlines and major milestones of the energy transition sector this year. Here are six major acquisitions that fueled the Houston energy industry in 2025:

Houston-based Calpine Corp. to be acquired in clean energy megadeal

Houston's Calpine Corp. will be acquired by Baltimore-based nuclear power company Constellation Energy Corp. Photo via DOE

In January 2025, Baltimore-based nuclear power company Constellation Energy Corp. and Houston-based Calpine Corp. entered into an agreement where Constellation would acquire Calpine in a cash and stock transaction with an overall net purchase price of $26.6 billion. The deal received final regulatory clearance this month.

Investment giant to acquire TXNM Energy for $11.5 billion

Blackstone Infrastructure, an affiliate of Blackstone Inc., will acquire a major Texas electricity provider. Photo via Shutterstock

In May 2025, Blackstone Infrastructure, an investment giant with $600 million in assets under management, agreed to buy publicly traded TXNM Energy in a debt-and-stock deal valued at $11.5 billion. The deal recently cleared a major regulatory hurdle, but still must be approved by the Public Utility Commission of Texas.

Houston's Rhythm Energy expands nationally with clean power acquisition

PJ Popovic, founder and CEO of Houston-based Rhythm Energy, which has acquired Inspire Clean Energy. Photo courtesy of Rhythm

Houston-based Rhythm Energy Inc. acquired Inspire Clean Energy in June 2025 for an undisclosed amount. The deal allowed Rhythm to immediately scale outside of Texas and into the Northeast, Midwest and mid-Atlantic regions.

Houston American Energy closes acquisition of New York low-carbon fuel co.

Houston American Energy Corp. has acquired Abundia Global Impact Group, which converts plastic and certified biomass waste into high-quality renewable fuels. Photo via Getty Images.

Renewable energy company Houston American Energy Corp. (NYSE: HUSA) acquired Abundia Global Impact Group in July 2025. The acquisition created a combined company focused on converting waste plastics into high-value, drop-in, low-carbon fuels and chemical products.

Chevron gets green light on $53 billion Hess acquisition

With the deal, Chevron gets access to one of the biggest oil finds of the decade. Photo via Chevron

In July 2025, Houston-based Chevron scored a critical ruling in Paris that provided the go-ahead for a $53 billion acquisition of Hess and access to one of the biggest oil finds of the decade. Chevron completed its acquisition of Hess shortly after the ruling from the International Chamber of Commerce in Paris.

Investors close partial acquisition of Phillips 66 subsidiary with growing EV network

Two investment firms have scooped up the majority stake in JET, a subsidiary of Phillips 66 with a rapidly growing EV charging network. Photo via Jet.de Facebook.

In December 2025, Energy Equation Partners, a London-based investment firm focused on clean energy companies, and New York-based Stonepeak completed the acquisition of a 65 percent interest in JET Tankstellen Deutschland GmbH, a subsidiary of Houston oil and gas giant Phillips 66.

Houston researchers develop energy-efficient film for AI chips

AI research

A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

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This article originally appeared on our sister site, InnovationMap.

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