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Report ranks Texas as among least expensive states for energy

If you live in Texas, you're paying less than residents in almost every other state. Photo via Getty Images

A new report analyzed energy costs across the United States to find out what states had the highest energy prices. Turns out, Texas falls rather low on that list.

The study from WalletHub ranked Texas as No. 49 on the list of the 2023 Most Energy-Expensive States. According to the U.S. Energy Information Administration, almost a third (27 percent) of the country report having difficulty meeting the energy needs of their household.

"To better understand the impact of energy on our finances relative to our location and consumption habits, WalletHub compared the total monthly energy bills in each of the 50 states and the District of Columbia," reads the report. "Our analysis uses a special formula that accounts for the following residential energy types: electricity, natural gas, motor fuel and home heating oil."

The report ranked states based on their total monthly energy cost, but also identified the following:

  • Monthly electricity cost
  • Monthly natural-gas cost
  • Monthly motor-fuel cost
  • Monthly home heating-oil cost
Texas households' total monthly energy cost was reportedly $378, which is only beat by New Mexico ($373) and DC ($274). The top five most expensive states for monthly energy cost is as follows.
  1. Wyoming at $845
  2. North Dakota at $645
  3. Alaska at $613
  4. Connecticut at $593
  5. Massachusetts at $589
When comparing to other states, Texas monthly electricity costs are relatively high. At $153 a month, the Lone Star State ranks No. 11 in that category. Meanwhile, when it comes to monthly home heating-oil cost, Texans pay an average of $0 a month, as do Mississippi residents.
Fuel prices are also cheaper in Texas, as the state ranks No. 49 with only Louisiana and Mississippi with lower costs, respectively.

While Texans can find some comfort in the lower-than-average energy costs, the whole country is expected to see some prices increase, one of the report's experts says.

"Most likely, energy prices will continue to rise in 2023, although perhaps more slowly than at times in the past," writes Peter C. Burns, director of the Center for Sustainable Energy at Notre Dame. "The war in Ukraine continues to create uncertainty in energy supplies in Europe, while pledges to reduce oil production in the interests of reducing greenhouse gas emissions will also contribute to increasing prices."


Source: WalletHub

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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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