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3 Houston climate tech companies win challenge for sustainable aviation

Three startups with Houston ties and sustainable solutions were named winners of the Sustainable Aviation Challenge. Photo via Cameron Casey/Pexels

Greentown Houston companies have made the list of companies working toward sustainable aviation technology.

Cemvita and Verne, two Greentown Houston members, and C2V Initiative Year 1 participant Air Company were all named as winners of the World Economic Forum’s Sustainable Aviation Challenge, which will net the winners visibility opportunities, curated introductions to industry partners and potential funders, and other event invitations.

“We look forward to start collaborating with fellow winners and challenge partners to support the decarbonization of the aviation sector,” Cemvita writes in a statement on LinkedIn.

The Sustainable Aviation Challenge on UpLink included innovators who accelerate the adoption and development of sustainable aviation fuel and other propulsion solutions. Aviation accounts for 2 percent of global greenhouse gas emissions and air travel is projected to increase over this decade according to the International Energy Agency. The challenge is to reinvent flying and make it compatible with our global net-zero emissions targets. Decarbonizing aviation is one of the goals to help with the goal of global net-zero emissions.

Cemvita’s eCO2™ helped garner the Houston company its spot in the Sustainable Aviation Challenge. The eCO2 takes waste streams and carbon dioxide and uses them to produce valuable materials like plastics,proteins, and fuel feedstock through microbiology. Cemvita also plans to remove 250 million tons per year from the atmosphere by 2050, according to their website.

Last fall, Cemvita Corp. announced a new offtake arrangement with United Airlines. Cemvita's first full-scale sustainable aviation fuel plant will provide up to 1 billion gallons of SAF to United Airlines. The 20-year contract specifies that Cemvita will supply up to 50 million gallons annually to United.

See the full list of World Economic Forum’s Sustainable Aviation Challenge winners here.

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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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