future of energy

Rice University introduces new program for energy transition, sustainability

A new program at Rice University will educate recent graduates or returning learners on key opportunities within energy transition. Photo via Rice

A Houston university has committed to preparing the workforce for the future of energy with its newest program.

Rice University announced plans to launch the Master of Energy Transition and Sustainability, or METS, in the fall. The 31 credit-hour program, which is a joint initiative between Rice's George R. Brown School of Engineering and the Wiess School of Natural Sciences, "will train graduates to face emergent challenges in the energy sector and drive innovation in sustainability across a wide range of domains from technology to economics and policy," according to the university.

“We believe that METS graduates will emerge as leaders and innovators in the energy industry, equipped with the skills and knowledge to drive sustainable solutions,” Rice President Reginald DesRoches says in the release. “Together we can shape a brighter, more resilient and cleaner future for generations to come.”

Some of the focus points of the program will be geothermal, hydrogen, and critical minerals recovery. Additionally, there will be education around new technologies within traditional oil and gas industry, like carbon capture and sequestration and subsurface storage.

“We are excited to welcome the inaugural cohort of METS students in the fall of 2024,” Thomas Killian, dean of the Wiess School of Natural Sciences and a professor of physics and astronomy, says in the release. “This program offers a unique opportunity for students to delve into cutting-edge research, tackle real-world challenges and make a meaningful impact on the future of energy.”

The new initiative is just the latest stage in Rice's relationship with the energy industry.

“This is an important initiative for Rice that is very much aligned with the university’s long-term commitment to tackle urgent generational challenges, not only in terms of research — we are well positioned to make significant contributions on that front — but also in terms of education,” says Michael Wong, the Tina and Sunit Patel Professor in Molecular Nanotechnology, chair and professor of chemical and biomolecular engineering and a professor of chemistry, materials science and nanotechnology and of civil and environmental engineering. “We want prospective students to know that they can confidently learn the concepts and tools they need to thrive as sustainability and energy transition experts and thought leaders.”

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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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