team work

4 energy companies join forces on low-carbon ammonia project on the Houston Ship Channel

The project’s first phase is targeted to produce more than 1.1 million tonnes per annum of low-carbon ammonia by the end of 2027. Photo via Houston.org

Four companies from all around the world have agreed to work on a large-scale, low-carbon ammonia production and export project on the Houston Ship Channel.

Tokyo-based INPEX Corporation, Paris-based Air Liquide Group, Oklahoma City-based LSB Industries Inc., and Houston-based Vopak Moda Houston LLC have agreed to collaborate on the project, which is expected to deliver its first phase by the end of 2027 with the production of more than 1.1 million tonnes per annum (MTPA) of low-carbon ammonia.

“As we approach the achievement of our net zero target by 2050, the unveiling of our low carbon ammonia project in Texas, USA, stands as a momentous testament to INPEX's strong commitment to environmental leadership," INPEX President and CEO Takayuki Ueda says in a news release. "This innovative endeavor marks a significant milestone to create a clean fuel supply chain for a sustainable future.

"By harnessing the power of cutting-edge technologies and collaborative partnerships with Air Liquide, LSB and Vopak Moda, we are accelerating the transition to a low-carbon world, while solidifying our position as a pioneer in energy transformation and a responsible global energy player,” he continues.

Earlier this year, the project completed a feasibility study. Each of the companies will collaborate in various capacities, according to the release, including: Air Liquide and INPEX partnering on low-carbon hydrogen production with their respective technologies; LSB and INPEX collaborating on low-carbon ammonia production, with LSB selecting the ammonia loop technology provider, the pre-FEED, and the engineering, procurement and construction of the facility and LSB overseeing day-to-day operations; INPEX and LSB would sell the low-carbon ammonia and finalize off-take agreements; and Vopak Moda, which currently operates ammonia storage and handling infrastructure, will maintain its ownership of the existing infrastructure and future storage built.

“This project is well aligned with our strategy to become a leader in the global energy transition through the production of low-carbon ammonia,” Mark Behrman, LSB Industries president and CEO, says in the statement. “As a long-standing, highly experienced nitrogen producer and developer of nitrogen production facilities, we are uniquely positioned to play a key role in a critical element of this project by overseeing the design, construction and operation of the ammonia loop."

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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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