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Houston renewable energy developer continues growth in New York with 10 new solar projects

With $100 million in fresh funding, Houston-based Catalyze has announced 10 new solar development projects in New York. Photo via Getty Images

A Houston renewable energy developer has announced 10 new projects in partnership with a New York company.

Catalyze selected GreenSpark Solar — an engineering, procurement, and construction company — to work on 10 new renewable energy projects totaling 60 megawatts.

“We’re excited to expand our solar portfolio through this partnership with GreenSpark, which has been a leader in the New York renewable energy landscape for over two decades now,” Jared Haines, CEO of Catalyze, says in a news release. “We look forward to sharing our mutual expertise to provide New Yorkers with affordable and reliable renewable electricity, regardless of geography or income.”

The projects, which are expected to deliver this year through mid 2025, will be funded in part by the New York State Energy Research and Development Authority through the NY-Sun Program. The state has a goal of installing 10 gigawatts of distributed solar and reaching 70 percent renewable energy by 2030, per the release.

“Community solar is one of the best avenues to bring the energy transition to low-middle income communities—a movement that GreenSpark is incredibly passionate about,” adds Kevin Schulte, CEO of GreenSpark Solar. “We are excited to support Catalyze’s success in bringing community solar projects online across New York and look forward to supporting them to bring this portfolio of solar projects to fruition, and in turn, bring more renewable energy to our communities.”

The deal follows Catalyze's May announcement that it secured $100 million in financing from NY Green Bank to support a 79 megawatt portfolio of community distributed generation solar projects across the state of New York.

Catalyze also announced another partnership earlier this month with real estate leader Cushman & Wakefield to expand installation of solar panels and battery storage technology at U.S. commercial and industrial properties.

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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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