ev supplies en route

ExxonMobil names new partner to bolster US lithium supply chain with offtake agreement

LG Chem’s Tennessee cathode plant, which began construction in December 2023, is designed for an annual production capacity of 60,000 tons and provides strategic geographic access for customer deliveries and raw material imports. Rendering via ExxonMobil

Spring-headquartered ExxonMobil Corp. has announced a new MOU for an offtake agreement for up to 100,000 metric tons of lithium carbonate.

The agreement is with LG Chem, which is building its cathode plant in Tennessee and expects it to be the largest of its kind in the country. The project broke ground a year ago and expects an annual production capacity of 60,000 tons. The lithium will be supplied by ExxonMobil.

“America needs secure domestic supply of critical minerals like lithium,” Dan Ammann, president of ExxonMobil Low Carbon Solutions, says in a news release. “ExxonMobil is proud to lead the way in establishing domestic lithium production, creating jobs, driving economic growth, and enhancing energy security here in the United States.”

The industry currently has a lithium supply shortage due to the material's use in electric vehicle batteries and the fact that most of production happens overseas.

“Building a lithium supply chain with ExxonMobil, one of the world’s largest energy companies, holds great significance,” Shin Hak-cheol, CEO of LG Chem, adds. “We will continue to strengthen LG Chem’s competitiveness in the global supply chain for critical minerals.”

Per the release, the final investment decision is still pending.

Earlier this year, Exxon entered into another energy transition partnership, teaming up with Japan’s Mitsubishi to potentially produce low-carbon ammonia and nearly carbon-free hydrogen at ExxonMobil’s facility in Baytown.

Last month, the company announced it had signed the biggest offshore carbon dioxide storage lease in the U.S. ExxonMobil says the more than 271,000-acre site, being leased from the Texas General Land Office, complements the onshore CO2 storage portfolio that it’s assembling.

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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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