browning the green space

Greentown launches 3rd round of collaborative accelerator for energy tech founders of color

A handful of startups will be selected for the third year of the ACCEL program put on by Greentown Labs and Browning the Green Space. Photo via greentownlabs.com

For the third year, Greentown Labs and Browning the Green Space have opened applications for ACCEL, a climatetech accelerator designed to bolster BIPOC-led companies.

The program, which is a year-long commitment providing opportunities across funding, networking connections, resources, and more, has applications open until January 7. Each selected company will receive non-dilutive grant funding up to $25,000, trainings from VentureWell, a desk and membership at Greentown Houston or Boston locations, a BGS membership, and more.

A handful of startups will be selected for the program, which is looking for companies at the two to four Technology Readiness Level (TRL) stage with a technology solution across agriculture, buildings, electricity, manufacturing, resiliency and adaptation, and transportation sectors.

“ACCEL has been amazing," Chidalu Onyenso, founder of Cambridge, Massachusetts-based EarthBond, a member of the 2022 cohort, writes on the website. "I’ve really enjoyed the membership and programming. I think it’s fantastic—if I met another Black or Brown founder focused on climatetech, I’d tell them to apply to this program, 100 percent.”

Earlier this year, the program — which is supported by the Massachusetts Clean Energy Center,Microsoft's Climate Innovation Fund, Equinor, Barr Foundationnamed seven companies to its second cohort and six to its inaugural batch in 2022. The 13 companies across two cohorts so far have received $325,000 in grant funding from the program.

"These BIPOC-led startups are developing climate technologies that will lead us to a more equitable and sustainable future," MassCEC CEO Dr. Emily Reichert, the former CEO of Greentown, said of the second cohort in a news release. "We want ALL climatetech innovators and entrepreneurs to thrive here in Massachusetts. We are proud to support the ACCEL accelerator, created and led by Greentown Labs and Browning the Green Space. The ACCEL program is helping us build a more diverse innovation ecosystem by breaking down barriers and expanding opportunities."

Interested and qualifying companies can apply online.

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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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