earth day win

Houston organization celebrates zero waste goal

Discovery Green's Earth Day event generated more than 3,800 pounds of garbage — and over 90 percent of it was diverted from landfills. Photo courtesy of Discovery Green

Discovery Green celebrated Earth Day with a major milestone this year — achieving it’s Zero Waste goal.

The nonprofit, along with Citizens’ Environmental Coalition and Houston Public Works, are announced that the 2024 Green Mountain Energy Earth Day, which generated more than 3,800 pounds of garbage, diverted the majority of that waste from landfills. "Zero Waste," as defined by the Environmental Protection Agency, is successfully diverting at least 90 percent of waste from the landfill.

On Earth Day, Discovery Green composted 2,200 pounds of waste and recycled 1,300 pounds of trash.

“Part of Discovery Green Conservancy’s mission is to serve as a village green for our city and be a source of health and happiness for all. Our goal is to sustain an exceptional environment for nature and people,” Discover Green President Kathryn Lott says in a news release. “We are beyond thrilled to have achieved Zero Waste certification.”

The achievement was made possible by volunteers from the University of Houston – Downtown.

Steve Stelzer, president of Citizens’ Environmental Coalition’s board of directors, acknowledged how rare the achievement is in a public space in a major city like Houston.

“Discovery Green Conservancy stepped up and made a commitment to weigh, measure and record everything. They should be congratulated to have done this at this scale,” Stelzer adds. “The Conservancy said they were going to do it and they did. It’s an amazing accomplishment.”

The 2024 event included:

  • 31,000 visitors in attendance
  • 60 + exhibitors
  • 100 + volunteers
  • 12 artists
    • 9 chalk artists
    • Donkeeboy and Donkeemom
    • Mark Bradford
  • 25 Mark Bradford artworks made of scrap presented in partnership with Houston First
  • 4 short films shown
  • 3,836.7 pounds of waste collected during Green Mountain Energy Earth Day

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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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