carbon footprint

Greentown Labs partners with VC firm on new emissions calculator integration

Greentown Labs has a new tool for evaluating potential members. Photo via Getty Images

If you want to be a member at either Boston-area or Houston location of Greentown Labs, you better have a small carbon footprint.

Leading global venture capital firm Clean Energy Ventures, which funds early-stage climate tech innovations, announced a partnership to offer access to the firm’s Simple Emissions Reduction Calculator (SERC) to Greentown Labs, the largest climate tech incubator in North America that is dually located in Houston and Sommerville, Massachusetts. New members will be required to report their CO2e emissions reduction potential as part of the incubator’s climate impact assessment as part of the Greentown Labs’ application process.

Greentown Labs has nurtured more than 525 companies across its two locations with a 94 percent success rate for startups. Greentown Labs supports and fosters collaboration with corporates, early-stage entrepreneurs, investors, government and other players while providing members access to labs and resources.

“As we continue our work to support the most innovative climate tech startups, we’re doubling down on how we quantify impact — both the impact Greentown Labs is having on the entrepreneurs we’re privileged to support, and the impact the startups themselves are having by reducing greenhouse gas emissions,” Kevin Knobloch, CEO and president of Greentown Labs, says in a news release. “Having access to this timely tool that Clean Energy Ventures has created is elevating our recruitment efforts and helping us standardize how we quantify the projected impact of our member community.”

CEV developed SERC in 2021 to assist startups with tools and algorithms to estimate their technology or business model’s emissions reduction potential. SERC is now used as an essential screening tool in over 1,000 companies asn a climate tech accelerators, incubators and investors across the globe, and was awarded an honorable mention by Fast Company World Changing Ideas in 2022.

“As climate tech investors, we are always eager to support the growth of an ecosystem of innovation and impact,” CEV Managing Partner David Miller in says in the release. “With the number of climate tech companies seeking investments today, startups that are able to estimate their innovation’s capacity to mitigate CO2e emissions truly stand out from the crowd and are more likely to secure investment. Through SERC, investors are able to gain critical insight to back the most impactful technologies with the potential to address climate change as quickly as possible over the next two decades.”

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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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