transatlantic collaboration

Researchers from Houston, Scotland receive seed grants to power collaborative energy solutions, innovations

The University of Houston and Heriot-Watt University in Scotland have secured funding for six energy projects. Photo via Getty Images

The University of Houston and Scotland’s Heriot-Watt University have been awarded seed grants to six energy projects, which is part of an innovative transatlantic research collaboration.

Researchers from both universities will take on projects that will concentrate on innovations that range from advanced hydrogen sensing technology to converting waste into sustainable products.

This will mark the first round of awards under the “UH2HWU” seed grant program. The program was created following the signing of a memorandum of understanding between both institutions in 2024. The universities will “seek to drive global progress in energy research, education, and innovation, with a particular focus on hydrogen as a key element in the shift toward cleaner energy,” according to a news release.

“This partnership is rooted in a shared commitment to advancing research that supports a just energy transition,” Ramanan Krishnamoorti, vice president for energy and innovation at UH, says in a news release. “Hydrogen, and in particular low carbon hydrogen, is essential to achieving sustainable energy solutions.”

The UH2HWU program provided $20,000 in seed funding to each of the projects. The program will help with the goal of helping researchers secure additional funding from private sources, companies, and government with a total of 11 proposals being submitted, and a panel of industry experts reviewing them.

One of the winning projects was titled “A joint research project on the feasibility of Repurposing Offshore Infrastructure for Clean Energy in the North Sea aka ROICE North Sea,” and was led by Ram Seetharam, ROICE Program executive director at UH, Edward Owens, professor of energy, geoscience, infrastructure and society at HWU, and Sandy Kerr, associate professor of economics at HWU.

The UH ROICE team focused on reusing old offshore structures for clean energy instead of removing them after their productive life. The UH team created cost and project models for the Gulf of Mexico and will now work with Heriot-Watt University to apply to UK North Sea. UK North Sea has over 250 platforms and about 50,000 kilometers of pipelines. To see more of the projects click here.

“We wanted to bring in industry experts to not only assess the quality of the proposals but also to attract industry support of the projects,” assistant vice president for intellectual property and industrial engagement at UH Michael Harold said in a news release. “It’s a win-win —reviewers get a first look at cutting-edge ideas, and the projects have a chance to build industry interest for future development.”

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A View From HETI

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.”

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