seeing green

Woodside to acquire clean ammonia project outside of Houston in  $2.4B deal

OCI broke ground on the project in 2022. Photo via oci-global.com

Woodside Energy has announced its acquiring a Beaumont, Texas, clean ammonia project that's slated to deliver its first ammonia by 2025 and lower carbon ammonia by 2026.

The agreement is for Woodside to acquire 100 percent of OCI Clean Ammonia Holding and its lower carbon ammonia project in Beaumont in an all-cash deal of approximately $2.35 billion. According to Woodside CEO Meg O’Neill, the acquisition positions Woodside as an early mover in clean ammonia within the energy transition.

“This transaction positions Woodside in the growing lower carbon ammonia market," O’Neill says in a news release. "The potential applications for lower carbon ammonia are in power generation, marine fuels and as an industrial feedstock, as it displaces higher-emitting fuels.

“Global ammonia demand is forecast to double by 2050, with lower carbon ammonia making up nearly two-thirds of total demand," she continues. “This Project exceeds our capital allocation framework targets for new energy projects. Both phases are expected to achieve an internal rate of return above 10 percent and payback of less than 10 years."

OCI broke ground on the project in 2022. It's reportedly the world’s first ammonia plant paired with auto thermal reforming with over 95 percent carbon dioxide capture.

Phase 1 of the project will have a capacity of 1.1 million tonnes per annum and is currently under construction. The first ammonia production will be derived from natural gas and is slated for 2025, with lower carbon ammonia production — derived from natural gas paired with carbon sequestration — is expected in in 2026 following commencement of CCS operations

According to the release, Phase 2 will have the capacity to abate 3.2 million tonnes per annum CO2-e, "or over 60 percent of our Scope 3 abatement target,” O’Neill explains.

Linde will source the nitrogen and lower carbon hydrogen feedstock from its feedstock facility, which is currently under construction with a targeted completion in early 2026. In the meantime, early supply of feedstock for the project will come from various suppliers including Linde. Per the release, CCS services will be provided to Linde by ExxonMobil and are expected to be available in 2026.

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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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