ON TO THE NEXT ROUND

Houston named semifinalist for major NSF energy transition funding opportunity

Houston is in the running to receive millions from a program from the National Science Foundation. Photo via Getty Images

The National Science Foundation announced 34 semifinalists for a regional innovation program that will deploy up to $160 million in federal funding over the next 10 years. Among the list of potential regions to receive this influx of capital is Houston.

The Greater Houston Partnership and the Houston Energy Transition Initiative developed the application for the NSF Regional Innovation Engine competition in collaboration with economic, civic, and educational leaders from across the city and five regional universities, including the University of Houston, The University of Texas at Austin, Texas Southern University, Rice University, and Texas A&M University.

The proposed project for Houston — called the Accelerating Carbon-Neutral Technologies and Policies for Energy Transition, or ACT, Engine — emphasizes developing sustainable and equitable opportunities for innovators and entrepreneurs while also pursuing sustainable and equitable energy access for all.

“The ACT Engine will leverage our diverse energy innovation ecosystem and talent, creating a true competitive advantage for existing and new energy companies across our region," says Jane Stricker, senior vice president of energy transition and executive director for HETI, in a statement. "Texas is leading the way in nearly every energy and energy transition solution, and this Engine can catalyze our region’s continued growth in low-carbon technology development and deployment."

If Houston's proposal is selected as a finalist, it could receive up to $160 million over 10 years. The final list of NSF Engines awards is expected this fall, and, according to a release, each awardee will initially receiving about $15 million for the first two years.

"Each of these NSF Engines semifinalists represents an emerging hub of innovation and lends their talents and resources to form the fabric of NSF's vision to create opportunities everywhere and enable innovation anywhere," NSF Director Sethuraman Panchanathan says in a news release. "These teams will spring ideas, talent, pathways and resources to create vibrant innovation ecosystems all across our nation."

The NSF selected its 34 semifinalists from 188 original applicants, and the next step for Houston is a virtual site visit that will assess competitive advantages, budget and resource plans for R&D and workforce development, and the proposed leadership’s ability to mobilize plans into action over the first two years.

"Houston is poised, like no other city, to lead the energy transition. The ACT Engine presents a remarkable opportunity to not only leverage the region's unparalleled energy resources and expertise but also harness our can-do spirit. Houston has a proven track record of embracing challenges and finding innovative solutions,” says Renu Khator, president of the University of Houston, in the statement. “Through the collaborative efforts facilitated by the ACT Engine, I am confident that we can make significant strides towards creating a sustainable future that harmonizes economic growth, environmental protection and social equity."

NSF Engines will announce awards this fall after a round of in-person interviews of finalists named in July. With Houston's track record for building thriving industry hubs in energy, health care, aerospace, and the culinary arts, the region is eager to establish the next generation of leaders and dreamers responding to some of the greatest economic and societal challenges ever seen in America.

“Our energy innovation ecosystem is inclusive, dynamic, and fast growing," says Barbara Burger, energy transition adviser and former Chevron executive, in the release. "The ACT Engine has the potential to increase the amount of innovation coming into the ecosystem and the capabilities available to scale technologies needed in the energy transition. I am confident that the members of the ecosystem — incubators, accelerators, investors, universities, and corporates — are ready for the challenge that the ACT Engine will provide."

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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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