seeing green

Houston steps to top of list of U.S. cities with lowest carbon footprints

Houston claimed the No. 1 spot among the 50 most visited in the U.S. with the lowest carbon footprint. Sean Pavone/Getty Images

People looking to travel to a sustainable city probably don’t have Texas spots at the top of their lists. Images of oil, cars, and blasting air conditioners spring up. The Texas power grid, no one need remind us, is barely hanging on.

But Texas blew other states away for lowest carbon footprint per capita, landing Houston at the top of the 2022 list compiled by travel blog Park Sleep Fly. Austin followed (No. 3), then San Antonio (No. 4) and Dallas (No. 9). Only Florida appeared twice in the top 10, and none matched Texas with four cities.

Among the 50 most visited in the U.S., those with the lowest carbon footprint are:

1. Houston
2. Los Angeles
3. Austin
4. San Antonio
5. Tampa, Florida
6. Salt Lake City
7. Phoenix
8. Miami
9. Dallas
10. Portland, Oregon

Houston is not exactly a green place, with less-than-ideal utilization of public transportation. It and Dallas tied for third place among least sustainable cities in the same report.

“Public transit isn’t the most popular mode of transportation in Houston, but it does exist,” an online publication called TripSavvy drably admits. The city takes credit for employing “nearly one third” of the nation’s oil and gas extraction workers.

On the renewable side, however, Houston claims more than 100 solar energy companies, and at least half of its corporate research and development centers pursue “energy technology and innovation.” And its huge population spreads the load, leaving only 14.6 metric tons of carbon dioxide per resident — the same as Los Angeles. Big cities seem to have an advantage in this rating system.

Austin is just behind Houston at 15 metric tons per capita, neck-and-neck with San Antonio at 15.2. These two cities have smaller populations to distribute their total footprint, but are generally seen as eco-friendly. Austin got a big head start in 1991 with the introduction of the Austin Energy Green Building program — the first of its kind in the whole country — which created an evaluation system for individual building sustainability that’s still in use. Dallas' carbon footprint is the largest of the Texas cities in the ranking, at 16.5 metric tons per capita.

As such a multifaceted issue (especially tied up in economic concerns), sustainability is hard to pin down from city to city. The multiplicity of this list is yet another indicator that Texas as a whole is a much more nuanced place than many people think.

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This article originally ran on CultureMap.

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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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