what could be

New Houston study shows health impacts of full vehicle electrification in major U.S. cities

Switching fully to electric vehicles could prevent 157 premature deaths each month in Houston. Photo courtesy

A new study from the University of Houston shows that there's no one-size-fits-all strategy for full vehicle electrification in America's largest U.S. cities.

The study by Ali Mousavinezhad and Yunsoo Choi considered changes in air pollution, specifically PM2.5 and ozone levels, in Houston, Los Angeles, New York and Chicago under different electrification scenarios and how the changes could impact public health.

“Our findings indicate vehicle electrification generally contributes to reducing greenhouse gas emissions, improving air quality, and lowering the mortality rate associated with exposure to toxic air pollutants,” Mousavinezhad said in a statement.

However, Mousavinezhad and Choi found that full electrification in Los Angeles could have negative impacts on public health.

Switching fully to electric vehicles could prevent 157 premature deaths each month in Houston, 796 deaths in New York and 328 in Chicago, according to the study. But in Los Angeles, full electrification would increase mortality.

Additionally, full electrification would save between $51 million to $249 million per day for New York, Chicago, and Houston in health-related costs. But Los Angeles would face economic losses of up to $18 million per day.

This was largely due to the unique weather and geography in Los Angeles that can trap air pollutants that harm the lungs. The study found that full electrification would lead to increases in PM2.5 and MDA8 ozone. According to UH, the study reveals the importance and "complexity of air quality management."

“The four largest U.S. cities have distinct anthropogenic sources of air pollutants and greenhouse gases, “Choi added. “Each city requires unique regulations or strategies, including different scenarios for the adoption of electric vehicles, to reduce concentrations of these pollutants and greenhouse gases effectively.”

Mousavinezhad, lead author, is a recent Ph.D. graduate from UH. Choi is a professor of atmospheric chemistry, AI deep learning, air quality modeling and satellite remote sensing. The study, titled “Air quality and health co-benefits of vehicle electrification and emission controls in the most populated United States urban hubs: insights from New York, Los Angeles, Chicago and Houston,” was published in the journal Science of the Total Environment earlier this year.

Earlier this year, Texas ranked low in a study that looked at the closest EV charging stations equivalent to a trip to the gas station. However, another study showed that Texas is among the top of the pack for states with the most electric vehicle registrations, but Houston fell behind other large metros in the state for EV friendliness. Click here to read more about both reports.

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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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