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Houston solar company expands in Puerto Rico, receives DOE funding

Sunnova's platform is expanding in Puerto Rico. Photo courtesy of

A Houston renewable energy company has announced two initiatives that are hoping to provide more grid stability on the island of Puerto Rico.

Sunnova announced that it's expanding its Sunnova Sentient Virtual Power Plant platform. The company has also been selected by the United States Department of Energy’s Grid Deployment Office to be a part of a $440 million investment from the Puerto Rico Energy Resilience Fund.

Sunnova's VPP platform is expanding in Puerto Rico through a collaboration between the Sunnova Power Flex Program and LUMA's Customer Battery Energy Sharing program in Puerto Rico. This plan is "to transform the role of distributed solar and storage customers in enhancing grid stability during peak demand periods, all while offering them financial incentives for their participation," according to Sunnova's release.

Puerto Rican residents can opt into the Sunnova Flex Power Program and will be compensated for the power supplied by their batteries. According to Sunnova, a battery could earn up to $1,000 for this first pilot year.

“We are incredibly excited about the possibilities that our industry-leading VPP platform—delivered to our customers through our Sunnova Flex Power Program—holds for the people of Puerto Rico,” John Berger, CEO of Sunnova, says in the release. “As we continue to spearhead the transition towards a cleaner and more robust future, extending our VPP platform will not only help reshape the energy landscape in Puerto Rico but also empower our valued customers to play an integral role in bolstering grid stability. We eagerly anticipate the transformative impact this program will have on our customers and the Puerto Rican community at large.”

Sunnova has 52,000 solar and storage customers on the island and has installed storage to a capacity of 800 MWh.

“We're excited to collaborate with Sunnova on this important initiative, which signifies a major step in our ongoing efforts to enhance energy reliability for Puerto Rico. We're dedicated to achieving a more stable energy supply, reducing disruptions, and securing a resilient energy future, ultimately benefiting the people of Puerto Rico,” Jessica Laird, VP of Customer Experience at LUMA, says in the statement.

Sunnova's selection by the DOE Grid Deployment Office makes the company one of the eight to receive chunk of a $440 million commitment to install rooftop solar and batteries in PR.

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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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