money moves

Houston cleantech co. secures investment from Mitsubishi

The undisclosed amount of funding will be used to continue Syzygy's work on it commercial-scale photoreactor. Photo via Syzygy

A Houston-based company that's created a photocatalytic reactor that uses light instead of heat to cleanly manufacture chemicals has announced its latest investor.

Syzygy Plasmonics announced a strategic investment agreement with Mitsubishi Heavy Industries Ltd., executed through Mitsubishi Heavy Industries America Inc. The terms of the deal were not disclosed, but Syzygy reports that the funding will go toward commercialization and development of its products.

"MHIA has been making moves to establish themselves as one of the leaders in the energy transition," Syzygy CEO Trevor Best says in a news release. "Formalizing our relationship with them shows their commitment to helping scale cutting edge technology and opens up new avenues for Syzygy and MHIA to work together as we commercialize our industrial decarbonization platform."

Currently, Rigel, the commercial-scale photoreactor, is being tested in Syzygy's Pearland facility. Founded based off a breakthrough discovery out of Rice University from co-founders and professors Naomi Halas and Peter Nordlander, Syzygy closed a $76 million series C financing round last year, a $23 million series B round in 2021, and its $5.8 series A in 2019.

The funding will support advancement and commercialization of the technology and is a part of Mitsubishi Heavy Industries Group's commitment to decarbonization.

"By collaborating with and investing in partners with innovative technologies, MHI Group is working to build a hydrogen ecosystem and a CO2 ecosystem that can contribute to the realization of a decarbonized society," the company writes in a statement. "Through this investment, Mitsubishi Heavy Industries will support Syzygy's efforts to develop innovative alternative technologies that will lead to the diversification of both ecosystems."

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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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