power deal

ExxonMobil lands major partnership for clean hydrogen facility in Baytown

ExxonMobil and Marubeni have signed a long-term deal to supply low-carbon ammonia from Texas to Japan. Photo via exxonmobil.com

Exxon Mobil and Japanese import/export company Marubeni Corp. have signed a long-term offtake agreement for 250,000 tonnes of low-carbon ammonia per year from ExxonMobil’s forthcoming facility in Baytown, Texas.

“This is another positive step forward for our landmark project,” Barry Engle, president of ExxonMobil Low Carbon Solutions, said in a news release. “By using American-produced natural gas we can boost global energy supply, support Japan’s decarbonization goals and create jobs at home. Our strong relationship with Marubeni sets the stage for delivering low-carbon ammonia from the U.S. to Japan for years to come."

The companies plan to produce low-carbon hydrogen with approximately 98% of CO2 removed and low-carbon ammonia. Marubeni will supply the ammonia mainly to Kobe Power Plant, a subsidiary of Kobe Steel, and has also agreed to acquire an equity stake in ExxonMobil’s low-carbon hydrogen and ammonia facility, which is expected to be one of the largest of its kind.

The Baytown facility aims to produce up to 1 billion cubic feet daily of “virtually carbon-free” hydrogen. It can also produce more than 1 million tons of low-carbon ammonia per year. A final investment decision is expected in 2025 that will be contingent on government policy and necessary regulatory permits, according to the release.

The Kobe Power Plant aims to co-fire low-carbon ammonia with existing fuel, and reduce CO2 emissions by Japan’s fiscal year of 2030. Marubeni also aims to assist the decarbonization of Japan’s power sector and steel manufacturing industry, chemical industry, transportation industry and various others sectors.

“Marubeni will take this first step together with ExxonMobil in the aim of establishing a global low-carbon ammonia supply chain for Japan through the supply of low-carbon ammonia to the Kobe Power Plant,” Yoshiaki Yokota, senior managing executive officer at Marubeni Corp., added in the news release. “Additionally, we aim to collaborate beyond this supply chain and strive towards the launch of a global market for low-carbon ammonia. We hope to continue to actively cooperate with ExxonMobil, with a view of utilizing this experience and relationship we have built to strategically decarbonize our power projects in Japan and Southeast Asia in the near future.”

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A View From HETI

Hadi Ghasemi, a University of Houston professor, has uncovered a method to release heat from data centers and electronics at record performance. Photo courtesy UH.

A University of Houston professor has developed a new cooling method that can remove heat at least three times more effectively from AI data centers than current technologies.

Hadi Ghasemi, a distinguished professor of Mechanical & Aerospace Engineering at UH, published his findings in two articles in the International Journal of Heat and Mass Transfer. The findings solve a critical issue in the growing AI sector, according to UH.

High-powered AI data centers generate huge amounts of heat due to the GPU and operating systems they use with extreme power densities, which introduce complex thermal challenges. Traditionally, cooling methods, like microchannels, which use flow and spray cooling, have had limitations when exposed to extreme heat flux, according to UH.

Ghasemi’s research, however, found a more effective way to design thin-film evaporation structures to release heat from data centers and electronics at record performance.

Ghasem’s solution coupled topology optimization and AI modeling to determine the best shapes for thin film efficiency, ultimately landing on a branch-like structure—resembling a tree.

The model found that the “branches” needed to be about 50 percent solid and 50 percent empty space for optimum efficiency, and that they could sustain high heat fluxes with minimal thermal resistance.

“These structures could achieve high critical heat flux at much lower superheat compared to traditionally studied structures,” Ghasemi said in a news release. “The new structures can remove heat without having to get as hot as previous removal systems.

Ghasemi’s doctoral candidates, Amirmohammad Jahanbakhsh and Saber Badkoobeh Hezave, also worked on the project. The team believes their results show the impact of a physics-aware, AI design and can help ensure reliability, longevity and stability of AI data centers.

“Beyond achieving record performance, these new findings provide fundamental insight into the governing heat-transfer physics and establishes a rational pathway toward even higher thermal dissipation capacities,” Ghasemi added in the release

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