fresh funding

Houston company scores NSF grant for DAC tech

GigaDAC's technology, as it scales, should reduce the cost of construction by two thirds. Photo courtesy of Victory Over Carbon

A Houston startup that's using aerospace engineering in the direct air capture space has received funding to continue research and development on its technology.

Victory Over Carbon Inc. received a Small Business Innovation Research grant for $272,488 from U.S. National Science Foundation. The company, which is based out of Greentown Labs in Houston, has created its GigaDAC system that uses a spray to aerodynamic separator model, reducing costs while maintaining efficacy, according to a news release from the company.

“NSF accelerates the translation of emerging technologies into transformative new products and services,” Erwin Gianchandani, NSF assistant director for Technology, Innovation and Partnerships, says in the release. “We take great pride in funding deep-technology startups and small businesses that will shape science and engineering results into meaningful solutions for today and tomorrow.”

GigaDAC's technology, as it scales, should reduce the cost of construction by two thirds, per the company, while optimizing current DAC operations.

“DAC is a critical pillar to solving climate change, and an immense undertaking as society gets serious about scaling in a way that is both technologically sound as well as commercially viable,” Harrison Rice, CEO of Victory Over Carbon, says in the release “Today’s leading DAC contactor designs are largely an offshoot of cooling tower technology. As a positive, these systems work — but they’re not optimized to scale. For GigaDAC, we went to a blank slate and started with scalability as the first principal; both to build, and to operate efficiently.

"Getting this right means winning in a market expected to grow to over $1 trillion in annual revenue,” he continues.

Since the company has secured funding from the America’s Seed Fund powered by NSF, it can apply for additional funding totaling up to $2 million.

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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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