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Texas passes California on national report of top solar states

by the numbers

Texas has the most utility-scale solar capacity installed and is home to 20 percent of the overall U.S. solar fleet. Photo via Getty Images

For the first time, Texas has passed California in the second quarter of 2024 to become the top solar state in the country.

The American Clean Power Association's quarterly market report found that, by adding 3,293 megawatts of new solar year-to-date, Texas has the most utility-scale solar capacity installed, comprising 20 percent of the overall U.S. solar fleet. The American Clean Power Association, which represents over 800 energy storage, wind, utility-scale solar, transmission, and clean hydrogen companies, found that Texas is home to 21,932 megawatts of capacity,

By utilizing clean energy initiatives, Texas included 1.6 gigawatts of new solar, 574 megawatts of storage, and 366 megawatts of onshore wind. With more than 28,000 megawatts, Texas had the highest volume of clean power development capacity in the second quarter. About 163,000 megawatts of capacity overall are in the works throughout the United States. Texas ranks No. 1 for total operating wind capacity and total operating solar capacity, and comes in second for operating storage capacity.

Texas again led in production levels with clean power construction projects nationally, which boasts more than 19,000 megawatts worth of clean power energy currently under construction. With almost 28.3 gigawatts in advanced development or under construction, Texas continues to come in at No.1, as California is next with over 16.4 gigawatts in the state’s project pipeline.

California added more than 1,900 megawatts of new clean power capacity in the second quarter, with its clean energy development behavior leaning more towards adding storage, which amounts to 60 percent of California’s year-to-date clean power installations.

According to the report from SmartAsset, the Lone Star State has the most clean energy capacity at 56,405 megawatts due to its sheer size for solar capacity, but continues to trail states with similar geographic characteristics in overall clean energy prevalence.

Another report published by the U.S. Energy Information Administration, says Texas will make up 35 percent of new utility-scale solar capacity in the U.S. this year, followed by California (10 percent) and Florida (6 percent).

While Texas’ solar efforts have shown positive trends, the state ranked No. 38 in a report by WalletHub that determined it was the thirteenth least green state.

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Texas will make up 35 percent of new utility-scale solar capacity in the U.S. this year. Photo via Getty Images

Report: Texas shines as top state for new solar, battery capacity

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On a state-by-state basis, Texas will account for the biggest share of new utility-scale solar capacity and new battery storage capacity in 2024, a new federal report predicts.

The report, published by the U.S. Energy Information Administration (EIA), says Texas will make up 35 percent of new utility-scale solar capacity in the U.S. this year, followed by California (10 percent) and Florida (six percent).

In 2024, EIA expects a record-setting addition of 36.4 gigawatts of utility-scale solar capacity across the U.S., nearly double last year’s record-setting addition of 18.4 gigawatts. One gigawatt of electric-generating capacity can power an average of 750,000 homes.

“As the effects of supply chain challenges and trade restrictions ease, solar continues to outpace capacity additions from other generating resources,” the report states.

Meanwhile, a new report from the Environment Texas Research & Policy Center and the Frontier Group found that Texas ranks third in the U.S. for residential solar power generation. Residential solar power generation in Texas grew 646 percent from 2017 through 2022, according to the report.

A February 2023 poll conducted by the University of Houston indicated that nearly two-thirds (64 percent) of Texas homeowners are somewhat or very interested in buying a solar energy system.

“Texas is already soaking up the benefits of rooftop solar,” says Luke Metzger, executive director of the Environment Texas center. “With federal tax credits in place to boost solar adoption in Texas, now is the time to lean in. Every sunny roof without solar panels is a missed opportunity.”

In addition to a spike in utility-scale solar, the EIA report forecasts Texas will lead the way this year in the addition of battery storage capacity, with the expected addition of 6.4 gigawatts. In second place is California, with an expected 5.2 gigawatts of new battery storage capacity. The two states will make up 82 percent of new U.S. battery storage capacity in 2024, says the report.

The federal agency predicts 14.3 gigawatts of U.S. battery storage capacity will be tacked on this year to the existing 15.5 gigawatts.

Overall, EIA anticipates solar will make up 58 percent of all new utility-scale electric-generating capacity this year in the U.S., followed by battery storage at 23 percent.

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Houston researchers land four 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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