Texas solar set to overtake coal for first time in 2026, EIA forecasts

solar on the rise

Solar generation is expected to reach 78 billion kilowatt-hours in 2026 in the ERCOT grid. Photo via Pexels

Solar power promises to shine even brighter in Texas this year.

A new forecast from the U.S. Energy Information Administration (EIA) indicates that for the first time, annual power generation from utility-scale solar will surpass annual power generation from coal across the territory covered by the Electric Reliability Council of Texas (ERCOT).

Solar generation is expected to reach 78 billion kilowatt-hours in 2026 in the ERCOT grid, compared with 60 billion kilowatt-hours for coal, the EIA forecast says. The ERCOT grid supplies power to about 90 percent of Texas, including the Houston area.

“Utility-scale solar generation has been increasing steadily in ERCOT as solar capacity additions help meet rapid electricity demand growth,” the forecast says.

Although natural gas remains the dominant source of electricity generation in ERCOT, accounting for an average 44 percent of electricity generation from 2021 to 2025, solar’s share of the generation mix rose from four percent to 12 percent. During the same period, coal’s share dropped from 19 percent to 13 percent.

EIA predicts about 40 percent of U.S. solar capacity, or 14 billion kilowatt-hours, added in 2026 will come from Texas.

Although EIA expects annual solar generation to exceed annual coal generation in 2026, solar surpassed coal in ERCOT on a monthly basis for the first time in March 2025, when solar generation totaled 4.33 billion kilowatt-hours and coal’s totaled 4.16 billion kilowatt-hours. Solar generation continued to exceed that of coal until August of that year.

“In 2026, we estimate that solar exceeded coal for the first time in March, and we forecast generation from solar installations in ERCOT will continue to exceed that from coal until December, when coal generation exceeds solar,” says EIA. “We expect solar generation to exceed that of coal for every month in 2027 except January and December.”

For 2027, EIA forecasts annual solar generation of 99 billion kilowatt-hours in the ERCOT grid, compared with 66 billion kilowatt-hours of annual coal generation.

In April, ERCOT projected almost 368 billion kilowatt-hours of demand in ERCOT’s territory by 2032. ERCOT’s all-time peak demand hit 85.5 billion kilowatt-hours in August 2023.

“Texas is experiencing exceptional growth and development, which is reshaping how large load demand is identified, verified, and incorporated into long-term planning,” ERCOT President and CEO Pablo Vegas said. “As a result of a changing landscape, we believe this forecast to be higher than expected … load growth.”

From Your Site Articles

ERCOT has launched its new Grid Research, Innovation, and Transformation (GRIT) initiative to help resolve grid challenges and meet growing demand. Photo via Getty Images

ERCOT steps up grid innovation efforts to support growing power demand

grid boost

As AI data centers gobble up more electricity, the Electric Reliability Council of Texas (ERCOT) — whose grid supplies power to 90 percent of Texas — has launched an initiative to help meet challenges presented by an increasingly strained power grid.

ERCOT, based in the Austin suburb of Taylor, said its new Grid Research, Innovation, and Transformation (GRIT) initiative will tackle research and prototyping of emerging technology and concepts to “deeply understand the implications of rapid grid and technology evolution, positioning ERCOT to lead in the future energy landscape.”

“As the ERCOT grid continues to rapidly evolve, we are seeing greater interest from industry and academia to collaborate on new tools and innovative technologies to advance the reliability needs of tomorrow’s energy systems,” ERCOT President and CEO Pablo Vegas said in a news release. “These efforts will provide an opportunity to share ideas and bring new innovations forward, as we work together to lead the evolution and expansion of the electric power grid.”

In conjunction with the GRIT initiative, ERCOT launched the Research and Innovation Partnership Engagement (RIPE) program. The program enables partners to work with ERCOT on developing technology aimed at resolving grid challenges.

To capitalize on ideas for grid improvements, the organization will host its third annual ERCOT Innovation Summit on March 31 in Round Rock. The summit “brings together thought leaders across the energy research and innovation ecosystem to explore solutions that use innovation to impact grid transformation,” ERCOT said.

“As the depth of information and industry collaboration evolves, we will continue to enhance the GRIT webpages to create a dynamic and valuable resource for the broader industry to continue fostering strong collaboration and innovation with our stakeholders,” said Venkat Tirupati, ERCOT’s vice president of DevOps and grid transformation.

ERCOT’s GRIT initiative comes at a time when the U.S. is girding for heightened demand for power, due in large part to the rise of data centers catering to the AI boom.

A study released in 2024 by the Electric Power Research Institute (EPRI) predicted electricity for data centers could represent as much as 9.1 percent of total power usage in the U.S. by 2030. According to EPRI, the share of Texas electricity consumed by data centers could climb from 4.6 percent in 2023 to almost 11 percent by 2030.

A report issued in 2024 by the federal government’s Lawrence Berkeley National Laboratory envisions an even faster increase in data-center power usage. The report projected data centers will consume as much as 12 percent of U.S. electricity by 2028, up from 4.4 percent in 2023.

In 2023, the EPRI study estimated, 80 percent of the U.S. electrical load for data centers was concentrated in two states, led by Virginia and Texas. The University of Texas at Austin’s Center for Media Engagement reported in July that Texas is home to 350 data centers, second only to Virginia.

“The U.S. electricity sector is working hard to meet the growing demands of data centers, transportation electrification, crypto-mining, and industrial onshoring, while balancing decarbonization efforts,” David Porter, EPRI’s vice president of electrification and sustainable energy strategy, said. “The data center boom requires closer collaboration between large data center owners and developers, utilities, government, and other stakeholders to ensure that we can power the needs of AI while maintaining reliable, affordable power to all customers.”

ERCOT has made four leadership changes. Photo courtesy of ERCOT

ERCOT makes major leadership changes, names COO

reorganization

Last week, the Electric Reliability Council of Texas, or ERCOT, announced a reorganization amongst its leadership.

“These changes were designed to harness the collaborative talents and strengths of our experienced team in supporting the delivery of reliable and efficient energy to the millions of Texans that we serve,” Pablo Vegas, ERCOT President and CEO, says in a news release.

Effective September 1, four ERCOT leaders have new titles and positions.

Woody Rickerson has been named to the newly created position of senior vice president and COO of ERCOT. He previously served as vice president of system planning and weatherization. In his new role, he will maintain control over weatherization and planning while adding grid and commercial operations to his responsibilities.

“This new position will leverage Rickerson’s deep operations experience and support ERCOT’s continued investments in grid innovations,” adds Vegas.

Kristi Hobbs, who previously served as vice president of corporate strategy and public utility commission relations, will replace Rickerson as vice president of system planning and weatherization and will report directly to Rickerson. She will oversee transmission planning, generator interconnection activities, modeling, and weatherization in her new role.

ERCOT announced two other appointments:

Betty Day, vice president of security and compliance and chief compliance officer, has assumed oversight of business continuity.
Rebecca Zerwas will serve as director of state policy and public utility commission relations, board liaison.

“As our industry faces dynamic changes, ERCOT is continuously evolving and making the necessary improvements to the grid to support the needs of a growing population and robust economy," Vegas says. "This reorganization allows us to sharpen our focus on daily operations while implementing our long-term strategic plan."

Images via ERCOT.com

Ad Placement 300x100

Ad Placement 300x600

CultureMap Emails are Awesome

Property Showcase

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.”

View All Listings

ENERGYCAPITALHTX EMAILS ARE AWESOME