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Houston company breaks ground on North Texas solar project

A Houston company has started construction on a Waco-area solar farm. Photo courtesy of INEOS

A Houston-area company has broken ground on a new 310-megawatt solar project located in Bosque County, Texas.

League City-based INEOS Olefins & Polymers and Florida-based NextEra Energy Resources announced the groundbreaking on INEOS Hickerson Solar, which will reportedly save over 310,000 tons of CO2 every year.

“INEOS O&P USA is committed to leading the petrochemical community in adopting renewable energy solutions,” says CEO Mike Nagle in a news release. “This solar project is a crucial step in our global efforts to reduce the carbon footprint of INEOS businesses.”

The INEOS Hickerson Solar project will be constructed, owned and operated by a subsidiary of NextEra Energy Resources, and the output will aim to cover the net purchased electricity load for all 14 of INEOS O&P USA’s manufacturing, fractionation and storage facilities. Commercial operation is expected by December 2025.

The project is expected to produce 730,000 megawatt-hours of clean energy annually, which is the equivalent to the annual electricity use of over 68,000 homes. INEOS hopes this will significantly contribute to reducing greenhouse gas emissions by approximately 310,000 tons per year.

This follows the recently signed renewable power purchase agreement with NextEra Energy Resources, which is the world's largest generator of renewable energy from wind and sun.

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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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