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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Houston energy-focused AI platform raises $5M in Mercury-led seed round

fresh funding

Houston-based Collide, a provider of generative artificial intelligence for the energy sector, has raised $5 million in seed funding led by Houston’s Mercury Fund.

Other investors in the seed round include Bryan Sheffield, founder of Austin-based Parsley Energy, which was acquired by Dallas-based Pioneer Natural Resources in 2021; Billy Quinn, founder and managing partner of Dallas-based private equity firm Pearl Energy Investments; and David Albin, co-founder and former managing partner of Dallas-based private equity firm NGP Capital Partners.

“(Collide) co-founders Collin McLelland and Chuck Yates bring a unique understanding of the oil and gas industry,” Blair Garrou, managing partner at Mercury, said in a news release. “Their backgrounds, combined with Collide’s proprietary knowledge base, create a significant and strategic moat for the platform.”

Collide, founded in 2022, says the funding will enable the company to accelerate the development of its GenAI platform. GenAI creates digital content such as images, videos, text, and music.

Originally launched by Houston media organization Digital Wildcatters as “a professional network and digital community for technical discussions and knowledge sharing,” the company says it will now shift its focus to rolling out its enterprise-level, AI-enabled solution.

Collide explains that its platform gathers and synthesizes data from trusted sources to deliver industry insights for oil and gas professionals. Unlike platforms such as OpenAI, Perplexity, and Microsoft Copilot, Collide’s platform “uniquely accesses a comprehensive, industry-specific knowledge base, including technical papers, internal processes, and a curated Q&A database tailored to energy professionals,” the company said.

Collide says its approximately 6,000 platform users span 122 countries.

CenterPoint reports progress on grid improvements ahead of 2025 hurricane season

grid resilience

As part of an ongoing process to make Houston better prepared for climate disasters, CenterPoint Energy announced its latest progress update on the second phase of the Greater Houston Resiliency Initiative (GHRI).

CenterPoint reported that it has completed 70 percent of its resiliency work and all GHRI-related actions are expected to be complete before the official start of the 2025 hurricane season.

"Our entire CenterPoint Houston Electric team is focused on completing this historic suite of grid resiliency actions before the start of hurricane season,” Darin Carroll, Senior Vice President of CenterPoint's Electric Business, said in a news release. “That is our goal, and we will achieve it. To date, we have made significant progress as part of this historic effort.”

CenterPoint’s resiliency solutions include clearing higher-risk vegetation across thousands of miles of power lines, adding thousands more automation devices capable of self-healing, installing thousands of storm-resistant poles, and undergrounding hundreds of miles of power lines.

CenterPoint's GHRI efforts, which entered a second phase in September 2024, aim to improve overall grid resiliency and reliability and are estimated to reduce outages for customers by more than 125 million minutes annually, according to the company. It has undergrounded nearly 350 miles of power lines, about 85 percent of the way toward its target of 400 miles, which will help improve resiliency and reduce the risk of outages. CenterPoint also aims to install the first of 100 new local weather monitoring stations by June 1.

In March, CenterPoint cleared 655 miles of high-risk vegetation near power lines, installed 1,215 automated reliability devices capable of self-healing, and added an additional 3,300 storm-resilient poles.

In April, CenterPoint will begin building a network of 100 new weather monitoring stations, which will provide 24/7 weather monitoring and storm response preparation.

“We will continue to work every day to complete these critical improvements as part of our company's goal of building the most resilient coastal grid in the country,” Carroll added in the release.

ExxonMobil, Rice launch sustainability initiative with first project underway

power partners

Houston-based ExxonMobil and Rice University announced a master research agreement this week to collaborate on research initiatives on sustainable energy efforts and solutions. The agreement includes one project that’s underway and more that are expected to launch this year.

“Our commitment to science and engineering, combined with Rice’s exceptional resources for research and innovation, will drive solutions to help meet growing energy demand,” Mike Zamora, president of ExxonMobil Technology and Engineering Co., said in a news release. “We’re thrilled to work together with Rice.”

Rice and Exxon will aim to develop “systematic and comprehensive solutions” to support the global energy transition, according to Rice. The university will pull from the university’s prowess in materials science, polymers and catalysts, high-performance computing and applied mathematics.

“Our agreement with ExxonMobil highlights Rice’s ability to bring together diverse expertise to create lasting solutions,” Ramamoorthy Ramesh, executive vice president for research at Rice, said in the release. “This collaboration allows us to tackle key challenges in energy, water and resource sustainability by harnessing the power of an interdisciplinary systems approach.”

The first research project under the agreement focuses on developing advanced technologies to treat desalinated produced water from oil and gas operations for potential reuse. It's being led by Qilin Li, professor of civil and environmental engineering at Rice and co-director of the Nanosystems Engineering Research Center for Nanotechnology-Enabled Water Treatment (NEWT) Center.

Li’s research employs electrochemical advanced oxidation processes to remove harmful organic compounds and ammonia-nitrogen, aiming to make the water safe for applications such as agriculture, wildlife and industrial processes. Additionally, the project explores recovering ammonia and producing hydrogen, contributing to sustainable resource management.

Additional projects under the agreement with Exxon are set to launch in the coming months and years, according to Rice.

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