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 startup strikes deal to develop hydrogen production plant in Canada

hydrogen partnership

Houston-based cleantech startup Vema Hydrogen has reached a tentative agreement with Canada-based CHARBONE Corp. to develop a hydrogen production and processing plant in Québec.

The deal would couple Vema’s production of engineered mineral hydrogen with CHARBONE’s purification, compression and distribution capabilities.

Engineered mineral hydrogen, also known as orange hydrogen, is produced underground by accelerating naturally occurring geochemical reactions in iron-rich rock formations, according to the journal Energy & Environmental Science.

“Across high-value markets — from aviation and maritime fuels to industrial gases — there is incredible demand for Vema’s low-carbon [hydrogen]. Now, more than ever, we need a pathway to deliver these low-carbon fuels,” Pierre Levin, CEO of Vema, said in a news release.

The project would enable Vema to expand into emerging markets like low-carbon maritime and aviation fuel, e-fuels and power generation. Incorporating CHARBONE’s capabilities, the agreement would also support Québec’s hydrogen supply chain.

“The market is demanding high-value industrial gases, and our customers need cleaner, more reliable supply. By pairing Vema’s [hydrogen] feedstock with our purification and distribution capabilities, we’re strengthening Québec’s position as a regional hub for next-generation hydrogen,” Dave Gagnon, CEO of CHARBONE, added in the release.

Vema said in February that it had completed drilling of its first two pilot wells in Québec, making them the world’s first pilot well for orange hydrogen. It’s the first time Vema’s technology has been used outside a lab.

“This pilot will provide the critical data needed to validate [our hydrogen] at commercial scale and demonstrate that Quebec can lead the world in this emerging clean energy category,” Levin said. “The quality of the rock within our core samples is exactly what we expected and is very promising for hydrogen yields.”

Shortly before Vema carried out the pilot drilling, it signed a 10-year deal with California-based energy technology company Verne Power to supply clean hydrogen for California data centers. Over the course of the 10-year agreement, Vema will boost annual production of orange hydrogen to more than 36,000 metric tons.

“There is a robust market for baseload power generation across the U.S., where data centers are straining the grid,” Levin said. “As we power California’s fastest-growing markets with clean hydrogen, we look toward expanding our hydrogen to markets globally and supporting AI-driven power hubs.”

Vema, founded two years ago, raised $13 million in seed funding in 2025.

“The energy transition and emerging uses of hydrogen have spurred demand for clean hydrogen,” Levin said in its funding announcement. “However, existing decarbonized hydrogen production methods simply don’t work — they are too costly and energy-intensive. Vema is here to change that. It’s time to unlock a new era of scalable, low-carbon hydrogen.”

Greentown names 5 climatech startups to manufacturing accelerator

Catalyst Cohort

Greentown Labs has named five climatech startups to its Go Make 2026 cohort, including one from Houston.

Greentown Go Make 2026 is in partnership with Shell Catalysts & Technologies and Technip Energies. Startups will be able to collaborate with leadership from Shell and Technip and have opportunities to work directly with their process engineering teams and develop potential partnerships, pilots and demonstrations, according to Greentown.

This year's manufacturing cohort focuses specifically on process technology and catalytic innovations, which, according to Greentown, have the potential to be a "critical enabler of the global energy transition." Greentown shares that 90 percent of chemical processes depend on catalysis, but traditional methods rely on fossil fuels and consume significant amounts of energy.

“Catalysis underpins the majority of industrial chemical processes, which together account for a significant share of global emissions, making it a critical lever for reducing carbon intensity while improving performance,” Georgina Campbell Flatter, CEO of Greentown, said in a news release. “Greentown Go Make 2026 is designed to close the gap between breakthrough innovation and industrial deployment. By connecting startups with Shell and Technip Energies’ technical expertise and global scale, we’re helping accelerate solutions that improve efficiency and drive industrial decarbonization.”

The five Greentown Go Make 2026 companies include:

  • Houston-based Biosimo, which makes scalable biochemicals from ethanol
  • Missouri-based Catalyxx, which transforms bioethanol into drop-in, cost-competitive, carbon-negative chemicals
  • Sydney, Australia-based HydGene Renewables, which produces low-carbon hydrogen and industrial chemicals from waste biomass
  • Switzerland-based TreaTech, which turns waste into renewable gas, water and minerals through catalytic hydrothermal gasification
  • California-based Unifuel, which has developed a chemical technology platform to make sustainable aviation fuel, renewable gasoline and other renewable chemicals

The cohort will be celebrated at a kickoff event in Houston at The Ion on June 9.

In addition to Greentown Go Make, Greentown also runs its Go Move (transportation), Go Energize (energy and electricity), Go Build (buildings), and Go Grow (food and agriculture) cohort-based programs. The climatech incubator announced its Go Build 2026 cohort in March. Read more here.