The Houston energy transition ecosystem is primed for collaborative partnerships – but here's what to keep in mind. Photo courtesy of Digital Wildcatters

When it comes to advancing the energy transition in Houston and beyond, experts seem to agree that collaborations between all major stakeholders is extremely important.

In fact, it was so important that it was the first panel of the second day of FUZE, an energy-focused conference put on by Digital Wildcatters. EnergyCapital HTX and InnovationMap were the event's media partners, and I, as editor of these news outlets, moderated the panel about collaborations.

I wanted to take a second to reflect on the conversation I had with the panelists earlier this week, as I believe their input and expertise — from corporate and nonprofit to startup and investing — was extremely valuable to the greater energy transition community.

Here were my three takeaways from the panel, titled "Collaborative Partnerships: Leveraging synergy in the energy sector."

Early-stage tech startups need bridges to cross their valleys.

The energy transition is a long game — and an expensive one, as Jane Stricker, executive director of the Houston Energy Transition Initiative, explains on the panel. And, just like most startups, the path to commercialization and profitability is long — and definitely not promised.

"When you look at innovation and startups, the multiple valleys of death a startup will go through on their journey, we have to find more ways to bridge those valleys and get more technology to get up that mountain and to a place where it can be scaled," she says.

She explains that corporations aren't always good at innovating, but they are impactful about rolling out de-risked technology at a global scale. But the technology has to get to that point first, so it takes a much earlier intervention for corporates — or another entity, like incubators and accelerators — to help in that developmental process.

"In Houston we have the potential to build out that ecosystem — we already have a lot of pieces in place, so it's about connecting the dots," Stricker says. "It's only by all of the different parts of the ecosystem understanding what each other does and what unique role they play in the process that we can really leverage the strengths of each of them to help create those partnerships and opportunities."

As Amy Henry, CEO of EUNIKE Ventures explains, corporates have their own challenges.

"Energy companies themselves have their own valley of death, and from where they are sitting, that's why they need to collaborate," she says on the panel. "And now we're talking about an unprecedented rate of getting technology commercialized."

EUNIKE works as a go between for corporates — almost as an expansion for them, Henry explains, and they are facing a challenging time too.

"Energy companies are just not early adopters of technology," she says. "But they are also going through their own transformation. At the same time, you've had this huge knowledge leakage in terms of all the workforce reduction."

Startups and corporates speak a different language.

Moji Karimi has had several partnerships with corporations with his biotech startup Cemvita Factory, including a recent offtake agreement with United. For Karimi, it's about learning about your corporate partner.

"In partnerships, especially for startups, you need to understand what is the language of love for the company at time," he says on the panel. "Is it growth, is it perception and PR, is it deployment of capital, or is there a specific bottleneck that we can help remove."

For HETI, Striker says they hope to act as a translator between the two parties.

"How do we enable more connectivity between the companies that have a technology that may be of interest to the larger companies looking for a solution?" Striker explains of HETI's mission. "And how do we make sure industry is communicating opening and broadly?"

Now is the time for action.

For Karimi, the solution is simple: More action is needed.

"Generally, we just need to talk less and do more," he says of what he wants to see from corporates, adding that more checks need to be written.

Based on his own experience, Karimi says some corporates are better to work with than others. He says he prefers working with the companies that don't try to mix in their startup pilots with the "bread and butter" of the business.

"Everyone has so much on their plate," he says, giving the example of Oxy Low Carbon Ventures being an offshoot of Oxy's main business.

Karimi says corporates should think of their startup pilots as an opportunity to try something new and different — something they'd never be able to test internally.

David Maher, business development director of Americas at Linde, says now that there's been regulatory framework, Linde knows what to invest in. The company has a particular interest in hydrogen.

"Another big piece of it is scale," Maher says of what Linde thinks about when considering innovative partnerships. "What's great about Houston is we have density and scale already."

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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.”