Houston energy transition growth capital firm closes $1.5B fund

EnCap is ready to deploy growth capital to advance the energy transition. Photo via Getty Images

A Houston-based energy transition-focused growth capital firm announced the close of its second fund to the tune of $1.5 billion.

EnCap Energy Transition's Fund II, or EETF II, was created to invest in solutions to decarbonize the power industry, and invest in low carbon fuels and carbon management.This second energy transition fund follows EnCap Energy Transition Fund I, a $1.2 billion fund that deployed capital to seven material portfolio company investments and four fund realizations with Broad Reach Power, Jupiter Power, Triple Oak, and Paloma Solar & Wind.

Previously, the company made investment commitments to five portfolio companies through EETF II, including Bildmore Renewables, Linea Energy, Parliament Solar, Power Transitions, and Arbor Renewable Gas. With the Bildmore arm, the EnCap fund aims to fuel development of renewable energy projects that can’t attract traditional tax equity financing.

EnCap expects to have 8-10 portfolio companies in EETF II in total.

"The EnCap Energy Transition team is proud to have raised a sizeable pool of capital to continue to invest in the opportunity created by the shift to a lower-carbon energy system,” EnCap Energy Transition Managing Partner Jim Hughes says in a news release.

“We greatly appreciate the strong support from our existing investor base and are pleased to have added a number of new, high-quality investors, both domestically and internationally," he continues. "Since our inception in 2019, we now manage approximately $2.7 billion of capital commitments to invest in decarbonization and are excited for the opportunities ahead of us."

Recently,EnCap was part of a deal in the battery energy storage business carrying an equity value of more than $1 billion. Engie purchased the majority of a startup . Broad Reach’s battery storage business from EnCap Energy Transition Fund I. Broad Reach launched in 2019 with backing from EnCap.

“We continue to believe all sources of energy are needed to support the world’s growing energy needs and that our Energy Transition Team will build off the significant success achieved to date,” said EnCap Managing Partner Jason DeLorenzo in a news release.

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This article originally ran on InnovationMap.

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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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