UH report projects $1 trillion in midstream infrastructure needed to power AI

midstream report

The report concludes that natural gas would need to remain a “foundational component of the region’s energy system” to meet the demands of AI data centers. Photo courtesy UH

A new study from the University of Houston estimates that the U.S. will need more than $1 trillion in new midstream energy infrastructure investment by 2052 to meet the rising energy demands from data centers in the age of artificial intelligence.

According to the report, this would average $40 billion to $48 billion per year across investments in natural gas, oil, natural gas liquids, hydrogen and CO2 infrastructure.

UH, in collaboration with the INGAA Foundation and Wood and ESMIA Consultants, released the 2025 North American Midstream Infrastructure Report, which details the needs, pipelines and associated infrastructure necessary to meet global market needs and increased energy demands. UH led the consortium that conducted the analysis. Paul Doucette, hydrogen program officer at UH, served as the principal investigator of the report.

According to the U.S. Department of Energy, data center energy consumption could reach 800 terawatt-hours annually by 2050, a roughly 167 percent increase from 300 terawatt-hours in 2025. Meanwhile, electricity generation from all energy sources is projected to reach 5,858 terawatt-hours in 2052, a 27 percent increase over current levels.

The report proposes two routes to meeting this level of demand.

The first scenario is a reference case based on current federal, state and provincial policies as of April 1, 2025. The second option presents a low-carbon scenario. The report concludes that natural gas would need to remain a “foundational component of the region’s energy system” in both scenarios.

“Meeting energy demand is a critical challenge right now, and this report quantifies the necessary midstream infrastructure and corresponding development dollars needed to meet that demand,” Hebe Shaw, executive director of the INGAA Foundation, said in a news release. “Meeting the energy needs of North America will require sustained investment and development, which must begin now to ensure a safe, reliable and affordable energy system.”

The report also identified several key midstream infrastructure requirements, including:

103,000 miles of new natural gas gathering pipelines
37,000 miles of additional natural gas transmission pipelines, which includes approximately 33,800 miles in the United States
24 million jobs over 25 years

The report adds that hydrogen, carbon capture, utilization, and storage (CCUS), and other decarbonization strategies can help meet infrastructure needs.

UH released a condensed version of the report here.

From Your Site Articles

Houston's data center scene has received its latest bullish forecast. Photo via serverfarmllc.com

Houston data center capacity could more than double by 2028, CBRE report says

data analysis

The Houston market could more than double its data center capacity by the end of 2028, a new report indicates.

The report, published by commercial real estate services provider CBRE, says greater demand for data center capacity in the Houston area is being fueled by energy companies, along with large-scale cloud services and AI-driven tenants.

In the second half of 2025, the Houston market had 154 megawatts of data center capacity, which was on par with capacity in the second half of 2024. Another 28.5 megawatts of capacity was under construction during that period.

“Multiple providers are advancing new builds and redevelopments, including significant power upgrades to recently purchased buildings, underscoring long-term confidence even as the market works through elevated vacancy and uneven absorption,” CBRE says of Houston’s data center presence.

One project alone promises to significantly boost the Houston market’s data center capacity. Data center developer Serverfarm plans to use part of a $3 billion credit facility to build a 250-acre, AI-ready data center campus near Houston with a potential capacity of more than 500 megawatts. The Houston campus and two other Serverfarm projects are already leased to unidentified tenants, according to CoStar.

A 60-megawatt, AI-ready Serverfarm data center is under construction in Houston. The $137 million, 438,000-square-foot project, located near the former headquarters of computer manufacturer Compaq, is supposed to be completed in the third quarter of 2027.

Data Center Map identifies 59 data centers in the Houston area managed by 36 operators, including DataBank, Data Foundry, Digital Realty, IBM, Logix Fiber Networks, Lumen and TRG Datacenters. That compares with more than 180 data centers in Dallas-Fort Worth, more than 50 in the San Antonio area and 40 in the Austin area.

Texas is home to more than 400 data centers, according to Data Center Map.

In November, Google said it’s investing $40 billion to build AI data centers in West Texas and the Texas Panhandle.

“This is a Texas-sized investment in the future of our great state,” Gov. Greg Abbott said when Google’s commitment was announced. “Texas is the epicenter of AI development, where companies can pair innovation with expanding energy. Google's $40 billion investment makes Texas Google's largest investment in any state in the country and supports energy efficiency and workforce development in our state.”

Hadi Ghasemi, a University of Houston professor, has uncovered a method to release heat from data centers and electronics at record performance. Photo courtesy UH.

Houston researcher develops efficient method to cool AI data centers

cool findings

A University of Houston professor has developed a new cooling method that can remove heat at least three times more effectively from AI data centers than current technologies.

Hadi Ghasemi, a distinguished professor of Mechanical & Aerospace Engineering at UH, published his findings in two articles in the International Journal of Heat and Mass Transfer. The findings solve a critical issue in the growing AI sector, according to UH.

High-powered AI data centers generate huge amounts of heat due to the GPU and operating systems they use with extreme power densities, which introduce complex thermal challenges. Traditionally, cooling methods, like microchannels, which use flow and spray cooling, have had limitations when exposed to extreme heat flux, according to UH.

Ghasemi’s research, however, found a more effective way to design thin-film evaporation structures to release heat from data centers and electronics at record performance.

Ghasem’s solution coupled topology optimization and AI modeling to determine the best shapes for thin film efficiency, ultimately landing on a branch-like structure—resembling a tree.

The model found that the “branches” needed to be about 50 percent solid and 50 percent empty space for optimum efficiency, and that they could sustain high heat fluxes with minimal thermal resistance.

“These structures could achieve high critical heat flux at much lower superheat compared to traditionally studied structures,” Ghasemi said in a news release. “The new structures can remove heat without having to get as hot as previous removal systems.

Ghasemi’s doctoral candidates, Amirmohammad Jahanbakhsh and Saber Badkoobeh Hezave, also worked on the project. The team believes their results show the impact of a physics-aware, AI design and can help ensure reliability, longevity and stability of AI data centers.

“Beyond achieving record performance, these new findings provide fundamental insight into the governing heat-transfer physics and establishes a rational pathway toward even higher thermal dissipation capacities,” Ghasemi added in the release

Texas outpaced the rest of the country in a new energy resilience report, despite grid challenges and rising AI demand. Photo courtesy of ERCOT

Texas claims No. 1 spot on new energy resilience report

A new report by mineral group Texas Royalty Brokers ranks Texas as the No. 1 most energy-resilient state.

The study focused on four main sources of electricity in hydroelectric dams, natural gas plants, nuclear reactors and petroleum facilities. Each state was given an Energy Resilience Score based on size and diversity of its power infrastructure, energy production and affordability for residents.

Texas earned a score of 71.3 on the report, outpacing much of the rest of the country. Pennsylvania came in at No. 2 with a score of 55.8, followed by New York (49.1) and California (48.4).

According to the report, Texas produces 11.7 percent of the country’s total energy, made possible by the state’s 141,000-megawatt power infrastructure—the largest in America.

Other key stats in the report for Texas included:

Per-capita consumption: 165,300 kWh per year
Per-capita expenditures: $5,130 annually
Total summer capacity: 141,200 megawatts

Despite recent failures in the ERCOT grid, including the 2021 power grid failure during Winter Storm Uri and continued power outages with climate events like 2024’s Hurricane Beryl that left 2.7 million without power, Texas still was able to land No. 1 on an energy resilience list. Texas has had the most weather-related power outages in the country in recent years, with 210 events from 2000 to 2023, according to an analysis by the nonprofit Climate Central. It's also the only state in the lower 48 with no major connections to neighboring states' power grids.

Still, the report argues that “(Texas’ infrastructure) is enough to provide energy to 140 million homes. In total, Texas operates 732 power facilities with over 3,000 generators spread across the state, so a single failure can’t knock out the entire grid here.”

The report acknowledges that a potential problem for Texas will be meeting the demands of AI data centers. Eric Winegar, managing partner at Texas Royalty Brokers, warns that these projects consume large amounts of energy and water.

According to another Texas Royalty Brokers report, Texas has 17 GPU cluster sites across the state, which is more than any other region in the United States. GPUs are specialized chips that run AI models and perform calculations.

"Energy resilience is especially important in the age of AI. The data centers that these technologies use are popping up across America, and they consume huge amounts of electricity. Some estimates even suggest that AI could account for 8% of total U.S. power consumption by 2030,” Winegar commented in the report. “We see that Texas is attracting most of these new facilities because it already has the infrastructure to support them. But we think the state needs to keep expanding capacity to meet growing demand."

UH researchers have developed a thin film that could allow AI chips to run cooler and faster. Photo courtesy University of Houston.

Houston researchers develop energy-efficient film for AI chips

AI research

A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

---

This article originally appeared on our sister site, InnovationMap.

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.”

Ad Placement 300x100

Ad Placement 300x600

CultureMap Emails are Awesome

Property Showcase

New York energy firm scoops up Houston’s Infinity Power Partners

m&a activity

Houston-based energy management and consulting firm Infinity Power Partners has been acquired by New York City-based Environ Energy, which also offers energy management and consulting services.

The deal creates a new “anchor segment” for Environ in the multifamily market. With the addition of Infinity Power’s roughly 2,000 clients in the multifamily sector, representing more than 1 million multifamily units under contract, Environ now has more than 8,000 U.S. clients in the commercial real estate, healthcare, manufacturing, education and government sectors.

“This acquisition continues to solidify our presence in key energy markets while aligning with founders who share our deep commitment to client success,” Environ CEO Chris Sternberg said in a news release.

Infinity Power co-founders and managing partners Nick Altman and Peter Selber have joined Environ, a portfolio company of investment firm 424 Capital. Altman and Selber founded Infinity Power in 2011.

“We built our business one relationship at a time,” Selber said, “with a strong commitment to the communities we serve. That same dedication is reflected in Environ’s approach — now delivered at scale.”

Altman says the acquisition is part of the “next chapter” in energy management. Energy management services help commercial customers reduce utility bills, improve equipment life, achieve green energy goals, and decrease risk tied to fluctuating energy prices.

“Energy management is a culture for continual improvement of energy performance and efficiency that’s integrated within an organization’s normal business practice,” according to the U.S. Office of Energy Efficiency & Renewable Energy.

In all, Environ has made six acquisitions in the past 17 months.

Last year, Environ acquired another Houston-based energy management and consulting firm, CSD Energy Advisors. In that deal, Environ gained nearly 1,000 clients, including several Fortune 500 companies and three large industrial energy users in Texas. As part of the deal, CSD co-founders Andrew Barth and JB Sowyrda joined Environ.

Also last year, Environ purchased Carrollton-based energy advisory firm Rapid Power Management (RPM).

Houston's PowerBridge partners on 2GW Texas AI data center campus

data center venture

Houston-based PowerBridge has formed a joint venture with Denver-based Liberty Energy to develop large-scale data center campuses.

The joint venture’s initial focus will be PowerBridge’s Alpha Digital Campus, a 2-gigawatt data center operation planned for West Texas. PowerBridge sets up data center campuses to support AI and cloud computing. Liberty is an energy company whose Liberty Power Innovations subsidiary offers distributed power and energy storage services.

Houston-based investment firm Five Point Infrastructure LLC established PowerBridge last year, committing up to $1 billion in equity. Earlier this month, The Wall Street Journal reported Five Point is trying to raise $2.5 billion for a new fund targeting water management projects, natural gas treatment systems and data center sites.

Through Five Point subsidiary LandBridge, PowerBridge enjoys access to more than 275,000 acres for infrastructure development as well as low-cost natural gas.

The first phase of PowerBridge’s West Texas campus is expected to offer more than 300 megawatts of generation capacity, with the potential to add more capacity over time. The campus is scheduled to start delivering power in the fourth quarter of 2027.

“By aligning our powered-campus development assets with Liberty’s comprehensive power services and operational expertise, we are creating a model that can be scaled across future gigawatt-scale powered data center campuses in West Texas,” Alex Hernandez, founder and CEO of PowerBridge, said in a release.

Before joining PowerBridge in 2025, Hernandez led Cumulus Data and Talen Energy Corp., a provider of power and energy infrastructure. Amazon Web Services bought Cumulus Data, a subsidiary of Houston-based Talen, in 2024 for $650 million. Cumulus develops nuclear-powered data centers.

Hernandez sits on the board of the Electric Reliability Council of Texas (ERCOT), which manages about 90 percent of the state’s electrical load.

Liberty recently announced a partnership with Houston-based energy technology company SLB to support the expansion of data center capacity.

Energy AI startup chooses Houston for first U.S. office after $20M raise

welcome to houston

London-based AI firm Applied Computing has announced a $20 million Series A round and a new office in Houston.

The new Bayou City office is Applied Computing’s first in the United States and part of its North American expansion. The company is known for its Orbital AI platform, which is tailored for energy operations.

The funding round was led by Houston-based KBR Inc., with participation from San Francisco-based Databricks Ventures. KBR’s investment was first announced in March.

KBR and Applied Computing have also entered into a multi-year agreement to deliver exclusive AI products for the energy sector. KBR already has integrated Orbital into its INSITE 3.0 platform for energy projects, and is also using the product for ammonia production.

Applied Computing’s Orbital platform combines physics-grounded intelligence with models across chemical engineering, time-series forecasting and language, according to the company. The system analyzes sensor readings and can recognize a facility’s equipment constraints and operator activity. The platform can also allow technicians to run simulations of how a change to a facility could affect the rest of its operations.

According to TechCrunch, Applied Computing will use the $20 million to further explore projects and deployments with the energy sector, hire engineering and research positions, and continue to expand internationally, potentially into the Middle East.

The company is also working on deals with a major U.S. stream operator, TechCrunch reports. And Applied Computing shared on LinkedIn that it plans to announce its first partnership with a major European oil company in the coming weeks.

“Yesterday we showed Orbital live in deployments at our demo day at the Energy Institute in London,” Callum Adamson, CEO and co-founder of Applied Computing, posted on LinkedIn on July 16. “Today, we're announcing the capital to scale it globally as well as the launch of our new offices in Houston and Bangalore. In the weeks following, there will be more announcements on our progress, partnerships and deployments.”

The company opened its Bangalore offices in December.

----

This article originally appeared on our sister site, InnovationMap.com.

View All Listings

ENERGYCAPITALHTX EMAILS ARE AWESOME