Houston organization proposes Gulf Coast index for hydrogen market

hydrogen index

The Clean Hydrogen Buyers Alliance plans to create the Gulf Coast Hydrogen Index to bring to bring transparency and confidence to hydrogen pricing. Photo via Getty Images

The Clean Hydrogen Buyers Alliance has proposed an index aimed at bringing transparency to pricing in the emerging hydrogen market.

The Houston-based alliance said the Gulf Coast Hydrogen Index, based on real-time data, would provide more clarity to pricing in the global market for hydrogen. The benchmarking effort is being designed to benefit clean hydrogen buyers, sellers and investors. The index would help position the U.S. “as the trading anchor for hydrogen’s next chapter as a globally traded commodity,” the alliance said.

According to ResearchAndMarkets.com, the global market for clean hydrogen was valued at $200 billion in 2024 and is projected to reach $700 billion by 2040.

John Flory, president of the alliance, said the lack of a pricing index has relegated hydrogen to niche-market status.

“Capital is waiting. Buyers are ready. But until now, there’s been no credible, transparent pricing signal to guide clean hydrogen investing or contracting,” Edward Morse, co-chairman of the Clean Hydrogen Transaction Advisory Committee, said in a news release.

The index would treat the Gulf Coast as the primary delivery hub for pipeline-grade hydrogen in three categories: basic, low-carbon and ultra-low-carbon. It would be similar to the Henry Hub index for pricing of natural gas.

Roger Ballentine, co-chairman of the clean energy advisory committee, said the hydrogen index would build confidence in this energy source among government agencies, companies and investors. A Henry Hub-style benchmark for hydrogen “provides clarity, reduces risk, and lays the foundation for clean energy to become a globally traded commodity critical to decarbonization,” he said.

The Gulf Coast, with Texas as the focal point, is key to the evolution of the U.S. clean hydrogen economy, according to the Fuel Cell and Hydrogen Energy Association.

At the core of the Gulf Coast’s role is the U.S. Department of Energy's selection of the Gulf Coast as one of the country’s seven regional hubs for clean hydrogen. However, the DOE has proposed cutting funding for the HyVelocity Gulf Coast Hydrogen Hub, a $1.2 billion development in Texas and Louisiana by AES, Air Liquide, Chevron, ExxonMobil, MHI Hydrogen Infrastructure and Ørsted, according to a new list of proposed DOE funding cancellations.

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A list of proposed DOE funding cancellations shows potential cuts for Houston-area companies. Photo via Getty Images.

DOE proposes cutting $1.2 billion in funding for hydrogen hub

funding cuts

The U.S. Department of Energy has proposed cutting $1.2 billion in funding for the HyVelocity Gulf Coast Hydrogen Hub, a clean energy project backed by AES, Air Liquide, Chevron, ExxonMobil, Mitsubishi Power Americas and Ørsted.

The HyVelocity project, which would produce clean hydrogen, appears on a new list of proposed DOE funding cancellations. The list was obtained by Latitude Media.

As of November, HyVelocity had already received $22 million of the potential $1.2 billion in DOE funding.

Other than the six main corporate backers, supporters of HyVelocity include the Center for Houston’s Future, Houston Advanced Research Center, Port Houston, University of Texas at Austin, Shell, the Texas governor’s office, Texas congressional delegation, and the City of Fort Worth.

Kristine Cone, a spokeswoman for GTI Energy, the hub’s administrator, told EnergyCapital that it hadn’t gotten an update from DOE about the hub’s status.

The list also shows the Magnolia Sequestration Hub in Louisiana, being developed by Occidental Petroleum subsidiary 1PointFive, could lose nearly $19.8 million in federal funding and the subsidiary’s South Texas Direct Air Capture (DAC) Hub on the King Ranch in Kleberg County could lose $50 million. In September, 1Point5 announced the $50 million award for its South Texas hub would be the first installment of up to $500 million in federal funding for the project.

Other possible DOE funding losses for Houston-area companies on the list include:

A little over $100 million earmarked for Houston-based BP Carbon Solutions to develop carbon storage projects
$100 million earmarked for Dow to produce battery-grade solvents for lithium-ion batteries. Dow operates chemical plants in Deer Park and LaPorte
$39 million earmarked for Daikin Comfort Technologies North America to produce energy-efficient heat pumps. The HVAC company operates the Daikin Texas Technology Park in Waller
Nearly $6 million earmarked for Houston-based Baker Hughes Energy Transition to reduce methane emissions from flares
$3 million earmarked for Spring-based Chevron to explore development of a DAC hub in Northern California
Nearly $2.9 million earmarked for Houston-based geothermal energy startup Fervo Energy’s geothermal plant in Utah

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4 Houston researchers awarded projects in DOE's Genesis Mission

federal funding

The U.S. Department of Energy has named the nearly 300 projects selected under the Trump Administration's Genesis Mission, which aims to address some of the largest science and technology challenges in the country. The group features four projects from Houston universities and companies.

The initiative aims to unite government, industry, academia and philanthropy to lead to breakthroughs in energy, scientific discovery and national security, according to a release.

The selected projects feature 87 led by DOE and National Nuclear Security Administration (NNSA) National Laboratories, 168 led by universities, 19 led by companies and 4 led by nonprofit organizations—totalling 342 participating institutions.

“America has no shortage of bold ideas or talented scientists, and the response to the Genesis Mission proves that,” U.S. Secretary of Energy Chris Wright said in a news release. “The 278 projects selected today represent the very best of our nation’s scientific enterprise. The remarkable number of high-quality proposals we received demonstrates that America’s innovation pipeline is strong, and it points to even greater opportunities for future investment and continued expansion of the Genesis Mission portfolio.”

Twelve Texas-based projects were selected among the 278. The Houston projects and their researchers include:

Caroline Ajo-Franklin

Ajo-Franklin recieved a Phase I grant for her project "Predictive AI to Map Point Mutation Effects on Protein Function: Measurement and Biosynthesis of Isoprenoids." Ajo-Franklin is a professor of biosciences at Rice University, a CPRIT Scholar in Cancer Research and member of the Rice Synthetic Biology Institute. The project aims to accelerate the engineering of microbes that can produce isoprenoids, which are natural compounds that could replace petroleum-derived fuels, solvents and materials.

“This project creates a continuous feedback loop in which AI guides experiments and each experiment generates more detailed data to better hone the AI model,” Ajo-Franklin said in a news release. “In addition, it demonstrates the extraordinary star power Rice has recruited in protein engineering and synthetic biology.”

Anastasios Kyrillidis

Kyrillidis recived a Phase I grant for his project "Cracking the VQA Optimization Bottleneck: AI Methods for Quantum Chemistry and Materials." Kyrillidis is the Noah Harding Associate Professor of Computer Science at Rice and a member of the Ken Kennedy Institute. The project aims to develop AI tools to resolve bottlenecks in quantum computing for chemistry and materials research.

“Our goal is to replace fragile, hand-tuned optimization methods with intelligent systems that can learn from quantum computations while still operating within frameworks that provide strong mathematical guarantees,” Kyrillidis added in the release.

Myoungkyu Lee

Lee received a nearly $750,000 Phase I grant for his project "Physics-Informed AI Surrogates for Turbulent Forced Convection in Energy System." Lee is an assistant professor of mechanical aerospace engineering at the University of Houston. Lee will collaborate with researchers from Lawrence Livermore National Laboratory and University of Pennsylvania on the project and develop artificial intelligence to accelerate the design of materials for advanced nuclear fission and fusion reactors.

“The goal is to develop a tool that runs much faster than today’s most detailed simulations while keeping errors small,” Lee said in a news release. “If successful, the approach could support better heat-transfer predictions for molten-salt reactor design and provide a starting point for studying heat removal in fusion blankets. This is one contribution among many toward reliable, carbon-free energy.”

Amit Padhi

Padhi recieved a grant for his project "Probabilistic Inference of Subsurface Fracture Connectivity for Stimulation Control with Physics-Informed AI." Padhi is a scientific advisor for Halliburton.

The DOE first called for applications for the Genesis Mission in March. At the time, the DOE shared that it would grant approximately $293 million to the selected teams via Phase I awards, ranging from $500,000 to $750,000 for nine-month project periods, and Phase II awards, for $6 million to $15 million over a three-year project period.

Since then, however, the initiative has grown with 15 federal agencies now granting research awards and funding opportunities under the Genesis umbrella. The White House announced this week that it had secured more than $5 billion in federal commitments to expand the initiative.

SLB teams with Liberty Energy on modular power for AI data centers

ai alliance

Houston-headquartered SLB and Denver-based Liberty Energy Inc. announced a strategic agreement this month to support the rapid growth of new data center capacity.

Under the agreement, SLB will supply modular data center infrastructure and oversee large-scale execution, while Liberty will provide modular power generation systems and behind-the-meter power management technology for developers looking to add capacity. According to Reuters, the power will come from natural gas generation.

“The bottleneck in AI infrastructure is no longer just compute. It is the ability to deliver infrastructure and power on the timelines the market now demands,” Gavin Rennick, president of SLB’s New Energy and Industrial business, said in a news release. “By bringing together complementary infrastructure and power capabilities, we will help developers accelerate deployment of new data center capacity.”

The companies seek to specifically offer the modular technologies in areas without traditional grid connections or where grid capacity is limited.

They also aim to improve the "efficiency, flexibility and environmental performance of future data center energy systems," potentially through solutions like hybrid power systems and digital energy management, according to the news release.

Goldman Sachs estimates that U.S. data center capacity will more than double from 31 gigawatts in 2025 to 66 gigawatts in 2027. Other reports predict that Houston and Texas will be home to a significant portion of the data center boom, with capacity in the city and the state also expected to double in the next few years.

“The scale and complexity of AI energy infrastructure is fundamentally changing how power systems are built and deployed,” Ron Gusek, CEO of Liberty Energy, added in the release. “Liberty’s comprehensive power service platform is engineered to meet this transition, as customers increasingly prioritize tailored, integrated solutions. Building on our long-standing relationship with SLB, we are excited to bring power solutions that address immediate capacity constraints while supporting the next generation of energy systems.”

SLB sold its onshore hydraulic fracturing business in the United States and Canada to Liberty Energy in December 2020 in exchange for a 37 percent equity interest in the company.

New Rice study details how carbon capture could reduce AI data center emissions

by the numbers

A new study out of Rice University points to carbon capture and storage methods as pivotal solutions to addressing emissions from AI-driven data centers.

The study was authored by Hon Chung Lau, an adjunct professor in the Department of Chemical and Biomolecular Engineering at Rice University and founder of Low Carbon Energies LLC, and Steve C. Tsai, an energy transition consultant at Low Carbon Energies LLC, and published in the journal Energy & Fuels.

According to the study, U.S. data center power capacity could more than quadruple in five years, growing from 40 gigawatts in 2025 to 169 gigawatts by 2030. Without proper regulation of emissions, the report estimates that carbon dioxide produced by fossil-fuel power plants supplying electricity to data centers could grow at the same scale, increasing from 90 million metric tons to more than 404 million metric tons over the same time period.

The researchers analyzed publicly available data on announced U.S. data centers, which included energy sources, locations, and projected power capacity before estimating data center-related carbon emissions based on each state’s electricity mix. From there, they examined whether those emissions could be captured and stored underground in saline aquifers.

The team estimates that 34 states have enough saline aquifer storage capacity to store more than 100 years of projected data center-related carbon dioxide emissions beyond 2030. Aquifers could store an estimated 59 million metric tons of data center-related carbon dioxide, or about 66 percent of the sector’s emissions in 2025. However, that calculation could grow to 299 million metric tons, or about 74 percent of projected data center-related emissions by 2030.

The researchers found that more than 90 percent of data center-related carbon dioxide emissions could potentially be mitigated through carbon capture and storage when out-of-state storage options are included, even though they note that carbon capture isn’t the only solution.

“It does show that the geology exists to make a meaningful impact, especially in states where data center growth is strongest,” Lau said in a news release.

Rapid growth in states including Texas, Virginia, Pennsylvania, Ohio, Arizona, Colorado, Utah and Illinois was considered in the study. According to the findings, Texas would need to add 25 gigawatts of power capacity by 2030 to meet projected data center demand, as data centers require reliable electricity 24/7.

“Data centers are becoming one of the defining energy challenges of the AI era,” Lau added in the news release. “The question is not only whether we can build enough computing infrastructure, but whether we can power it in a way that is reliable, affordable and compatible with decarbonization goals.”

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