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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Why 2026 must be the year Texas makes transmission as its top energy priority

guest column

Texas takes pride in running one of the most dynamic and deregulated energy markets in the world, but conversations about electricity rarely focus on what keeps it moving: transmission infrastructure.

As ERCOT projects unprecedented electricity demand growth and grid operators update their forecasts for 2026, it’s becoming increasingly clear that generation, whether renewable or fossil, is only part of the solution. Transmission buildout and sound governing policy now stand as the linchpin for reliability, cost containment, and long-term resilience in a grid under unprecedented stress.

At the heart of this urgency is one simple thing: demand. Over 2024 and 2025, ERCOT has been breaking records at a pace we haven’t seen before. From January through September of 2025 alone, electricity use jumped more than 5% over the year before, the fastest growth of any major U.S. grid. And it’s not slowing down.

The Energy Information Administration expects demand to climb another 14% in 2026, pushing total consumption to roughly 425 terawatt-hours in just the first nine months. That surge isn’t just about more people moving to Texas or running their homes differently; it’s being driven by massive industrial and technology loads that simply weren’t part of the equation ten years ago.

The most dramatic contributor to that rising demand is large-scale infrastructure such as data centers, cloud computing campuses, crypto mining facilities, and electrified industrial sectors. In the latest ERCOT planning update, more than 233 gigawatts of total “large load” interconnection requests were being tracked, an almost 300% jump over just a year earlier, with more than 70% of those requests tied to data centers.

Imagine hundreds of new power plants requesting to connect to the grid, all demanding uninterrupted power 24/7. That’s the scale of the transition Texas is facing, and it’s one of the major reasons transmission planning is no longer back-of-house policy talk but a central grid imperative.

Yet transmission is complicated, costly, and inherently long-lead. It takes three to six years to build new transmission infrastructure, compared with six to twelve months to add a new load or generation project.

This is where Texas will feel the most tension. Current infrastructure can add customers and power plants quickly, but the lines to connect them reliably take time, money, permitting, and political will.

To address these impending needs, ERCOT wrapped up its 2024 Regional Transmission Plan (RTP) at the end of last year, and the message was pretty clear: we’ve got work to do. The plan calls for 274 transmission projects and about 6,000 miles of new, rebuilt, or upgraded lines just to handle the growth coming our way and keep the lights on.

The plan also suggests upgrading to 765-kilovolt transmission lines, a big step beyond the standard 345-kV system. When you start talking about 765-kilovolt transmission lines, that’s a big leap from what Texas normally uses. Those lines are built to move a massive amount of power over long distances, but they’re expensive and complicated, so they’re only considered when planners expect demand to grow far beyond normal levels. Recommending them is a clear signal that incremental upgrades won’t be enough to keep up with where electricity demand is headed.

There’s a reason transmission is suddenly getting so much attention. ERCOT and just about every industry analyst watching Texas are projecting that electricity demand could climb as high as 218 gigawatts by 2031 if even a portion of the massive queue of large-load projects actually comes online. When you focus only on what’s likely to get built, the takeaway is the same: demand is going to stay well above anything we’ve seen before, driven largely by the steady expansion of data centers, cloud computing, and digital infrastructure across the state.

Ultimately, the decisions Texas makes on transmission investment and the policies that determine how those costs are allocated will shape whether 2026 and the years ahead bring greater stability or continued volatility to the grid. Thoughtful planning can support growth while protecting reliability and affordability, but falling short risks making volatility a lasting feature of Texas’s energy landscape.

Transmission Policy: The Other Half of the Equation

Infrastructure investment delivers results only when paired with policies that allow it to operate efficiently and at scale. Recognizing that markets alone won’t solve these challenges, Texas lawmakers and regulators have started creating guardrails.

For example, Senate Bill 6, now part of state law, aims to improve how large energy consumers are managed on the grid, including new rules for data center operations during emergencies and requirements around interconnection. Data centers may even be required to disconnect under extreme conditions to protect overall system reliability, a novel and necessary rule given their scale.

Similarly, House Bill 5066 changed how load forecasting occurs by requiring ERCOT to include utility-reported projections in its planning processes, ensuring transmission planning incorporates real-world expectations. These policy updates matter because grid planning isn’t just a technical checklist. It’s about making sure investment incentives, permitting decisions, and cost-sharing rules are aligned so Texas can grow its economy without putting unnecessary pressure on consumers.

Without thoughtful policy, we risk repeating past grid management mistakes. For example, if transmission projects are delayed or underfunded while new high-demand loads come online, we could see congestion worsen. If that happens, affordable electricity would be located farther from where it’s needed, limiting access to low-cost power for consumers and slowing overall economic growth. That’s especially critical in regions like Houston, where energy costs are already a hot topic for households and businesses alike.

A 2026 View: Strategy Over Shortage

As we look toward 2026, here are the transmission and policy trends that matter most:

  • Pipeline of Projects Must Stay on Track: ERCOT’s RTP is ambitious, and keeping those 274 projects, thousands of circuit miles, and next-generation 765-kV lines moving is crucial for reliability and cost containment.
  • Large Load Forecasting Must Be Nuanced: The explosion in large-load interconnection requests, whether or not every project materializes, signals demand pressure that transmission planners cannot ignore. Building lines ahead of realized demand is not wasteful planning; it’s insurance against cost and reliability breakdowns.
  • Policy Frameworks Must Evolve: Laws like SB 6 and HB 5066 are just the beginning. Texas needs transparent rules for cost allocation, interconnection standards, and emergency protocols that keep consumers protected while supporting innovation and economic growth.
  • Coordination Among Stakeholders Is Critical: Transmission doesn’t stop at one utility’s borders. Regional cooperation among utilities, ERCOT, and local stakeholders is essential to manage congestion and develop systemwide reliability solutions.

Here’s the bottom line: Generation gets the headlines, but transmission makes the grid work. Without a robust transmission buildout and thoughtful governance, even the most advanced generation mix that includes wind, solar, gas, and storage will struggle to deliver the reliability Texans expect at a price they can afford.

In 2026, Texas is not merely testing its grid’s capacity to produce power; it’s testing its ability to move that power where it’s needed most. How we rise to meet that challenge will define the next decade of energy in the Lone Star State.

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Sam Luna is director at BKV Energy, where he oversees brand and go-to-market strategy, customer experience, marketing execution, and more.

New Gulf Coast recycling plant partners with first-of-kind circularity hub

now open

TALKE USA Inc., the Houston-area arm of German logistics company TALKE, officially opened its Recycling Support Center earlier this month.

Located next to the company's Houston-area headquarters, the plant will process post-consumer plastic materials, which will eventually be converted into recycling feedstock. Chambers County partially funded the plant.

“Our new recycling support center expands our overall commitment to sustainable growth, and now, the community’s plastics will be received here before they head out for recycling. This is a win for the residents of Chambers County," Richard Heath, CEO and president of TALKE USA, said in a news release.

“The opening of our recycling support facility offers a real alternative to past obstacles regarding the large amount of plastic products our local community disposes of. For our entire team, our customers, and the Mont Belvieu community, today marks a new beginning for effective, safe, and sustainable plastics recycling.”

The new plant will receive the post-consumer plastic and form it into bales. The materials will then be processed at Cyclyx's new Houston Circularity Center, a first-of-its-kind plastic waste sorting and processing facility being developed through a joint venture between Cyclix, ExxonMobil and LyondellBasell.

“Materials collected at this facility aren’t just easy-to-recycle items like water bottles and milk jugs. All plastics are accepted, including multi-layered films—like chip bags and juice pouches. This means more of the everyday plastics used in the Chambers County community can be captured and kept out of landfills,” Leslie Hushka, chief impact officer at Cyclyx, added in a LinkedIn post.

Cyclyx's circularity center is currently under construction and is expected to produce 300 million pounds of custom-formulated feedstock annually.

Houston quantum simulator research reveals clues for solar energy conversion

energy flow

Rice University scientists have used a programmable quantum simulator to mimic how energy moves through a vibrating molecule.

The research, which was published in Nature Communications last month, lets the researchers watch and control the flow of energy in real time and sheds light on processes like photosynthesis and solar energy conversion, according to a news release from the university.

The team, led by Rice assistant professor of physics and astronomy Guido Pagano, modeled a two-site molecule with one part supplying energy (the donor) and the other receiving it (the acceptor).

Unlike in previous experiments, the Rice researchers were able to smoothly tune the system to model multiple types of vibrations and manipulate the energy states in a controlled setting. This allowed the team to explore different types of energy transfer within the same platform.

“By adjusting the interactions between the donor and acceptor, coupling to two types of vibrations and the character of those vibrations, we could see how each factor influenced the flow of energy,” Pagano said in the release.

The research showed that more vibrations sped up energy transfer and opened new paths for energy to move, sometimes making transfer more efficient even with energy loss. Additionally, when vibrations differed, efficient transfer happened over a wider range of donor–acceptor energy differences.

“The results show that vibrations and their environment are not simply background noise but can actively steer energy flow in unexpected ways,” Pagano added.

The team believes the findings could help with the design of organic solar cells, molecular wires and other devices that depend on efficient energy or charge transfer. They could also have an environmental impact by improving energy harvesting to reduce energy losses in electronics.

“These are the kinds of phenomena that physical chemists have theorized exist but could not easily isolate experimentally, especially in a programmable manner, until now,” Visal So, a Rice doctoral student and first author of the study, added in the release.

The study was supported by The Welch Foundation,the Office of Naval Research, the National Science Foundation CAREER Award, the Army Research Office and the Department of Energy.