Experts: To power an energy revolution, a financing evolution is needed

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Investors in Houston and across Texas are proving to be transformational partners to finance and grow energy hardware startups. Photo via Getty Images

Texas is a national leader in wind and solar, generating more energy in these categories than any other state since 2006 and double that of next placed California. As investment in renewable energy continues to skyrocket, the limitations of the 19th-century grid prevent the industry from realizing the benefits of this 21st-century technology.

For years, Texas has grappled with insufficient infrastructure for its current mix of energy sources, which includes surging renewables. The Alternating Current (AC) grid — the standard since the 1800s — requires matching supply and demand in real-time to maintain a stable frequency, which is complex and costly, especially with renewable energy when the sun doesn’t always shine and the wind doesn’t always blow.

Startup firms are busy developing technologies to solve this issue. For example, it’s possible to modernize the AC grid to control the voltage of the distribution network precisely, to ensure fast adjustments to demand, and to adapt to changes in supply from renewables. Enoda, a U.K.-based scale-up, is an example of an innovative company developing and delivering technology to enable the AC grid to accommodate much higher levels of renewable energy and electrification.

Equally important to these technical innovations are innovations in financing for energy startups. On two levels, investors in Houston and across Texas are proving to be transformational partners to finance and grow energy hardware startups.

1. Innovative Funding Structures

Because of the long timelines, hardware investing requires, in part, more patient capital than the typical Silicon Valley venture capital model prevalent in startup investments. Their playbook is best suited for software companies that develop new features in weeks or months. Energy hardware startups require a longer timeline because of the far greater complexity and upfront capital outlay.

Texas investment firms and family offices are, however, accustomed to investing in complex energy projects with longer development timelines. This complexity presents a high barrier to entry for competitors, which significantly increases the upside potential that risk-capital investors seek should the innovation find market traction. At the same time, up-front capital requirements have decreased considerably, making hardware more appealing to investors.

2. Visionary partnership

Attracting investors and demonstrating early-stage traction differs for hardware companies because of the lengthy pre-revenue R&D process. Software innovators can launch with a minimum viable product, gain a few early customers, and then grow incrementally. By contrast, energy hardware technology must be fully developed from launch. Each Enoda PRIME exchanger, from the first unit sold, represents a piece of critical infrastructure on which households will rely for their electricity supply for its 30-year lifespan. For venture investors who focus on software, it’s easy to assess the health of a software company based on well-established metrics related to customer growth and the cost of customer acquisition.

Hardware investing requires investors to have a much deeper understanding of the problem being solved and assess the quality of the solution objectively rather than rely on early customers for a minimum viable product. Texas investors have been quick to understand the problems that the energy industry must solve around energy balancing and keeping the frequency of a system stable in order to grow renewable energy. Why the keen insight? Because that problem is being solved today by gas power plants. A visionary investor with many years of deep industry perspective is far more likely to appreciate that than a VC firm looking across many industries based on a standard set of metrics.

Visionary partnership is precisely what energy startups need because it’s important not to evaluate the company as it is today but what it will be in five years. Hardware startups need visionary investor partners who understand the importance of parallel pathing fundamental innovation, product development and delivery, and customer development to grow and succeed. Hardware startups succeed only when they can do these things simultaneously—and require investors who can imagine a possible future and understand the path to reach it.

Changing the way investment works

Many energy startups are worthy inheritors of Houston’s bold entrepreneurial spirit that led to technological innovations like deep-sea drilling and hydraulic fracturing. They will continue to need equally bold investors who recognize the world of opportunities at their doorstep.

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Paul Domjan is the founder and chief policy and global affairs officer at Enoda. Derek Jones and Paul Morico are partners at Baker Botts.

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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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