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Houston Health Department scores $20M grant funding for climate, energy resilience

Two Houston communities have received funding for programming and workforce development within climate resilience. Photo via Getty Images

The city of Houston has secured a $20 million grant from the Environmental Protection Agency to be used to build climate and energy resilience in two local underserved communities.

The Houston Health Department's funding comes from the EPA's Community Change program and will benefit the Greater Fifth Ward and Kashmere Gardens, regions that have faced contamination from the neighboring Union Pacific Railroad site. This grant follows two prior EPA grants from the Vulnerable to Vibrant series that were awarded in 2023.

"Through this grant, we will also aim to enhance a state-of-the-art flood alert system that provides advance warning," Loren Hopkins, HHD's chief environmental science officer, says in a news release. "We will promote and provide education regarding an air permit application warning system, plant fruit trees for flood, heat, and pollution mitigation, develop a hyper-local neighborhood resilience plan, and establish a Houston Environmental Justice Advisory Committee."

The initial $1 million grant will span three years and includes several local partners: HHD, Black United Fund of Texas, Houston Community College, My Brother's Keeper - Houston, City of Houston Solid Waste Management Department, and Environmental Defense Fund. It will fund the creation of free solar workforce development program with the hopes of installing and operating a community solar farm.

A second $500,000 grant will find paid internships to residents for solar deployment in the community and will be led by HHD in partnership with BUFTX, University of Houston Center for Sustainability and Resilience, Air Alliance, Houston Wilderness, and Rice University SSPEED Center/Fang Research Group.

The ultimate goal of these freshly funded initiatives, according to the city, is to strengthen HHD and its partners' efforts in establishing a solar energy system for the community in order to advance the neighborhood’s resilience.

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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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