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Texas loses speed among top EV states, apps open for Greentown program, and more things to know this week

Texas has some room to improve when it comes to EV states, one report found — and more things to know this week. Photo via Getty Images

Editor's note: Dive headfirst into the new week with three quick things to catch up on in Houston's energy transition: applications for a Greentown Labs program has opened, Texas falls flat on a ranking of best EV states, and more.

Texas puts it in park near the bottom of list of best states for EV drivers

You’d think that producing tens of thousands of Teslas might help drive up Texas’ standing among the best states for owning an electric vehicle. To the contrary, Texas ranks among the worst states to be an EV owner.

A new list from EV Charger Reviews puts Texas in the No. 2 position among the worst states for owning an EV. Washington leads the pack of the worst EV states. Topping the list of the best states for EV owners is Maine, followed by Colorado and Vermont. Read more about the methodology.

Big deal: GridBeyond's $55M series C 

GridBeyond,which has its U.S. headquarters in Houston, raised its series C to support its growth in the the United States.

The round closed at €52 million, or around $55 million. Founded in 2010, GridBeyond's AI platform allows businesses to unlock the full potential of energy assets and prioritize sustainability, resilience, and affordability of energy.

"This funding, together with the support of our new partners, will enable us to expand our product offering and strengthen our leadership position in this space," Michael Phelan, co-founder and CEO of GridBeyond, says in a news release. “The newly completed financing round sets GridBeyond on the path to increase the reach of our intelligent energy platform and deliver world leading AI and powerful automation capabilities to smart grid and energy markets across the world." Read more details about the round.

Greentown Labs opens C2V Initiative apps

For the fourth year, the Carbon to Value Initiative, a multi-year collaboration from the Urban Future Lab at NYU Tandon School of Engineering, Greentown Labs, and Fraunhofer USA — has opened applications. The program is looking for "startups at Technology Readiness Level 4-7 that are developing carbontech innovations related to carbon conversion to added-value products; carbon capture; and carbon sequestration and removal," according to Greentown.

The selected cohort will have access to the C2V Initiative’s CLC, an invitation-only group of corporate, nonprofit, and government thought leaders across the energy industry. Startups will also each receive a $10,000 stipend to support their participation in the accelerator. Applications are open through June 21, 2024. To learn more about the program or to apply, click here.

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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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