money moves

Houston clean energy provider raises $10.8M series A

Branch Energy aims to provide customers with clean energy at a lower cost than competitors. Photo via Getty Images

A tech-driven retail energy provider based in Houston has secured an oversubscribed series A round of funding.

Branch Energy raised a $10.8 million round led by climate-focused venture capital firm Prelude Ventures with co-investor Zero Infinity Partners, an infrastructure tech-focused firm. The fresh funding will go toward accelerating the company's battery management tech and build out the infrastructure of its field services.

A vertically integrated power provider, Branch Energy aims to provide customers with demand management software and battery storage systems to ensure long-term, stable, and clean energy at a lower cost than competitors.

“Our century-old grid design is not equipped for the complexity of today’s energy needs," Alex Ince-Cushman, Branch Energy co-founder and CEO, says in a news release. “Optimizing distributed energy assets in real-time will play an increasingly important role in managing the grid. We built Branch from the ground up as a technology company, allowing us to deliver value to customers in this new era of distributed energy by reducing costs while improving reliability."

The company chose Texas as its inaugural market based on the stress of the grid in the state, the company says in the release. Since 2021 when Branch Energy launched, it has signed up thousands of customers for its 100 percent clean energy service. The business proposition includes lowering customer's energy bills by 5 to 10 percent.

“The power grid, especially in Texas, requires distributed generation and flexible loads as basic economics drives deployment of more renewable resources,” Tim Woodward, managing partner at Prelude Ventures, adds. “Across the country, we are experiencing a major shift toward a decentralized and decarbonized grid. Branch Energy is bringing value to its customers through deployment of intelligent storage that lowers costs and improves reliability.”

Branch Energy, which is available now in some Texas regions, had previously raised $5.5 million in seed and pre-seed funding, per Crunchbase.

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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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