Researchers have secured $3.3 million in funding to develop an AI-powered subsurface sensing system aimed at improving the safety and efficiency of underground power line installation. Photo via Getty Images

Researchers from the University of Houston — along with a Hawaiian company — have received $3.3 million in funding to explore artificial intelligence-backed subsurface sensing system for safe and efficient underground power line installation.

Houston's power lines are above ground, but studies show underground power is more reliable. Installing underground power lines is costly and disruptive, but the U.S. Department of Energy, in an effort to find a solution, has put $34 million into its new GOPHURRS program, which stands for Grid Overhaul with Proactive, High-speed Undergrounding for Reliability, Resilience, and Security. The funding has been distributed across 12 projects in 11 states.

“Modernizing our nation’s power grid is essential to building a clean energy future that lowers energy costs for working Americans and strengthens our national security,” U.S. Secretary of Energy Jennifer M. Granholm says in a DOE press release.

UH and Hawaii-based Oceanit are behind one of the funded projects, entitled “Artificial Intelligence and Unmanned Aerial Vehicle Real-Time Advanced Look-Ahead Subsurface Sensor.”

The researchers are looking a developing a subsurface sensing system for underground power line installation, potentially using machine learning, electromagnetic resistivity well logging, and drone technology to predict and sense obstacles to installation.

Jiefu Chen, associate professor of electrical and computer engineering at UH, is a key collaborator on the project, focused on electromagnetic antennas installed on UAV and HDD drilling string. He's working with Yueqin Huang, assistant professor of information science technology, who leads the geophysical signal processing and Xuqing Wu, associate professor of computer information systems, responsible for integrating machine learning.

“Advanced subsurface sensing and characterization technologies are essential for the undergrounding of power lines,” says Chen in the release. “This initiative can enhance the grid's resilience against natural hazards such as wildfires and hurricanes.”

“If proven successful, our proposed look-ahead subsurface sensing system could significantly reduce the costs of horizontal directional drilling for installing underground utilities,” Chen continues. “Promoting HDD offers environmental advantages over traditional trenching methods and enhances the power grid’s resilience.”

University of Houston professor Xiaonan Shan and the rest of his research team are celebrating fresh funding from a federal grant. Photo via UH.edu

Houston scientists land $1M NSF funding for AI-powered clean energy project

A team of scientists from the University of Houston, in collaboration with Howard University in Washington D.C., has received a $1 million award from the National Science Foundation for a project that aims to automate the discovery of new clean-energy catalysts.

The project, dubbed "Multidisciplinary High-Performance Computing and Artificial Intelligence Enabled Catalyst Design for Micro-Plasma Technologies in Clean Energy Transition," aims to use machine learning and AI to improve the efficiency of catalysts in hydrogen generation, carbon capture and energy storage, according to UH.

“This research directly contributes to these global challenges,” Jiefu Chen, the principal investigator of the project and associate professor of electrical and computer engineering, said in a statement. “This interdisciplinary effort ensures comprehensive and innovative solutions to complex problems.”

Chen is joined by Lars Grabow, professor of chemical and biomolecular engineering; Xiaonan Shan, associate professor of electrical and computing engineering; and Xuquing Wu, associate professor of information science technology. Su Yan, an associate professor of electrical engineering and computer science at Howard University, is collaborating on the project.

The University of Houston team: Xiaonan Shan, associate professor electrical and computing engineering, Jiefu Chen, associate professor of electrical and computer engineering, Lars Grabow, professor of chemical and biomolecular engineering, and Xuquing Wu, associate professor of information science technology. Photo via UH.edu

The team will create a robotic synthesis and testing facility that will automate the experimental testing and verification process of the catalyst design process, which traditionally is slow-going. It will implement AI and advanced, unsupervised machine learning techniques, and have a special focus on plasma reactions.

The project has four main focuses, according to UH.

  1. Using machine learning to discover materials for plasma-assisted catalytic reactions
  2. Developing a model to simulate complex interactions to better understand microwave-plasma-assisted heating
  3. Designing catalysts supports for efficient microwave-assisted reactions
  4. Developing a bench scale reactor to demonstrate the efficiency of the catalysts support system

Additionally, the team will put the funding toward the development of a multidisciplinary research and education program that will train students on using machine learning for topics like computational catalysis, applied electromagnetics and material synthesis. The team is also looking to partner with industry on related projects.

“This project will help create a knowledgeable and skilled workforce capable of addressing critical challenges in the clean energy transition,” Grabow added in a statement. “Moreover, this interdisciplinary project is going to be transformative in that it advances insights and knowledge that will lead to tangible economic impact in the not-too-far future.”

This spring, UH launched a new micro-credential course focused on other applications for AI and robotics in the energy industry.

Around the same time, Microsoft's famous renowned co-founder Bill Gates spoke at CERAWeek to a standing-room-only crowd on the future of the industry. Also founder of Breakthrough Energy, Gates addressed the topic of AI.

ExxonMobil and Intel are working to design, test, research and develop new liquid cooling technologies to optimize data center performance and help customers meet their sustainability goals. Photo via Getty Images

ExxonMobil, Intel eye sustainable solutions within data center innovation

the view from heti

Two multinational corporations have announced a new collaboration to create energy-efficient and sustainable solutions for data centers as the market experiences significant growth.

ExxonMobil and Intel are working to design, test, research and develop new liquid cooling technologies to optimize data center performance and help customers meet their sustainability goals. Liquid cooling solutions serve as an alternative to traditional air-cooling methods in data centers.

“Our partnership with ExxonMobil to co-develop turnkey solutions for liquid cooling will enable significant energy and water savings for data center and network deployments,” said Jen Huffstetler, Chief Product Sustainability Officer, Intel.

According to consulting firm McKinsey, “a hyperscaler’s data center can use as much power as 80,000 households do,” and that demand is expected to keep surging. Power consumption by the U.S. data center market is forecasted “to reach 35 gigawatts (GW) by 2030, up from 17 GW in 2022,” according to a McKinsey analysis. Artificial intelligence and machine learning, and other advanced computing techniques are increasing computational workloads, and in return, increasing electricity demand. Therefore, companies are searching for solutions to support this growth.

ExxonMobil launched its full portfolio of data center immersion fluid products last year. The partnership with Intel will allow them to further advance their efforts in this market.

“By integrating ExxonMobil’s proven expertise in liquid cooling technologies with Intel’s long legacy of industry leadership in world-changing computing technologies, together we will further the industry’s adoption and acceptance as it transitions to liquid cooling technologies,” said Sarah Horne, Vice President, ExxonMobil.

Learn more about this collaboration here.

———

This article originally ran on the Greater Houston Partnership's Houston Energy Transition Initiative blog. HETI exists to support Houston's future as an energy leader. For more information about the Houston Energy Transition Initiative, EnergyCapitalHTX's presenting sponsor, visit htxenergytransition.org.

The UH team is developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources. Photo via Getty Images

Houston researcher wins competitive NSF award for work tying machine learning to the power grid

grant funding

An associate professor at the University of Houston received the highly competitive National Science Foundation CAREER Award earlier this month for a proposal focused on integrating renewable resources to improve power grids.

The award grants more than $500,000 to Xingpeng Li, assistant professor of electrical and computer engineering and leader of the Renewable Power Grid Lab at UH, to continue his work on developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources, according to a statement from UH. This work has applications in the events of large disturbances to the grid.

Li explains that currently, power grids run off of converted, stored kinetic energy during grid disturbances.

"For example, when the grid experiences sudden large generation losses or increased electrical loads, the stored kinetic energy immediately converted to electrical energy and addressed the temporary shortfall in generation,” Li said in a statement. “However, as the proportion of wind and solar power increases in the grid, we want to maximize their use since their marginal costs are zero and they provide clean energy. Since we reduce the use of those traditional generators, we also reduce the power system inertia (or stored kinetic energy) substantially.”

Li plans to use machine learning to create more streamlined models that can be implemented into day-ahead scheduling applications that grid operators currently use.

“With the proposed new modeling and computational approaches, we can better manage grids and ensure it can supply continuous quality power to all the consumers," he said.

In addition to supporting Li's research and model creations, the funds will also go toward Li and his team's creation of a free, open-source tool for students from kindergarten up through their graduate studies. They are also developing an “Applied Machine Learning in Power Systems” course. Li says the course will help meet workforce needs.

The CAREER Award recognizes early-career faculty members who “have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization,” according to the NSF. It's given to about 500 researchers each year.

Earlier this year, Rice assistant professor Amanda Marciel was also granted an NSF CAREER Award to continue her research in designing branch elastomers that return to their original shape after being stretched. The research has applications in stretchable electronics and biomimetic tissues.
The new course will provide participants with insights on how to use robotics to enhance efficiency in data collection, AI data analysis tools for industry, risk management with AI, and more. Photo courtesy of UH

Houston university launches latest micro-credential course focused on AI, robotics for the energy industry

coming soon

The University of Houston will launch its latest micro-credential course next month that focuses on how AI and robotics can be used in inspection processes for the energy industry.

Running from March 22 through April 22, the course is open to "engineers, technicians and industry professionals with advanced knowledge in the dynamic fields of robotics and AI," according to a statement from UH. It will combine weekly online lectures and in-person hands-on demonstrations and provide participants with insights on how to use robotics to enhance efficiency in data collection, AI data analysis tools for industry, risk management with AI, and more.

“By blending theoretical knowledge with practical applications and hands-on experience, the course aims to empower participants with the skills needed to evaluate and adopt these advanced technologies to address real-world challenges in asset management,” Vedhus Hoskere, assistant professor at the UH Cullen College of Engineering, said in a statement. “We hope that upskilling and knowledge gained from this course will help accelerate the adoption of AI and robotics and contribute to the advancement of safer and more resource-efficient energy infrastructure systems.”

Hoskere will teach the course module titled “Computer Vision and Deep Learning for Inspections.” He also recently received a $500,000 grant from the Texas Department of Transportation (TxDOT) to look at how to use drones, cameras, sensors and AI to support Texas' bridge maintenance programs.

Other leaders of the UH Energy course will include:

  • Kimberley Hayes, founder of Valkim Technologies: Lead speaker who will provide an overview and introduction of AI applications, standards and certification
  • Gangbing Song, Moores Professor of Mechanical Engineering at UH: Machine learning hands-on exercises
  • Pete Peterson, head of product management and marketing with XaaS Lab: Computer vision technology in the oil and gas industry
  • Matthew Alberts, head of project management with Future Technologies Venture Venture LLC: Use cases, workflow and optimizing inspections with AI and drones
  • Suchet Bargoti, chief technology officer at Abyss Solutions: AI and robots for integrity management.

Registration accepted up to the first day of the course and can be completed online.

The world can't keep on with what it's doing and expect to reach its goals when it comes to climate change. Radical innovations are needed at this point, writes Scott Nyquist. Photo via Getty Images

Only radical innovation can get the world to its climate goals, says this Houston expert

guest column

Almost 3 years ago, McKinsey published a report arguing that limiting global temperature rises to 1.5 degrees Celsius above pre-industrial levels was “technically achievable,” but that the “math is daunting.” Indeed, when the 1.5°C figure was agreed to at the 2015 Paris climate conference, the assumption was that emissions would peak before 2025, and then fall 43 percent by 2030.

Given that 2022 saw the highest emissions ever—36.8 gigatons—the math is now more daunting still: cuts would need to be greater, and faster, than envisioned in Paris. Perhaps that is why the Intergovernmental Panel on Climate Change (IPCC) noted March 20 (with “high confidence”) that it was “likely that warming will exceed 1.5°C during the 21st century.”

I agree with that gloomy assessment. Given the rate of progress so far, 1.5°C looks all but impossible. That puts me in the company of people like Bill Gates; the Economist; the Australian Academy of Science, and apparently many IPCC scientists. McKinsey has estimated that even if all countries deliver on their net zero commitments, temperatures will likely be 1.7°C higher in 2100.

In October, the UN Environment Program argued that there was “no credible pathway to 1.5°C in place” and called for “an urgent system-wide transformation” to change the trajectory. Among the changes it considers necessary: carbon taxes, land use reform, dietary changes in which individuals “consume food for environmental sustainability and carbon reduction,” investment of $4 trillion to $6 trillion a year; applying current technology to all new buildings; no new fossil fuel infrastructure. And so on.

Let’s assume that the UNEP is right. What are the chances of all this happening in the next few years? Or, indeed, any of it? President Obama’s former science adviser, Daniel Schrag, put it this way: “ Who believes that we can halve global emissions by 2030?... It’s so far from reality that it’s kind of absurd.”

Having a goal is useful, concentrating minds and organizing effort. And I think that has been the case with 1.5°C, or recent commitments to get to net zero. Targets create a sense of urgency that has led to real progress on decarbonization.

The 2020 McKinsey report set out how to get on the 1.5°C pathway, and was careful to note that this was not a description of probability or reality but “a picture of a world that could be.” Three years later, that “world that could be” looks even more remote.

Consider the United States, the world’s second-largest emitter. In 2021, 79 percent of primary energy demand (see chart) was met by fossil fuels, about the same as a decade before. Globally, the figures are similar, with renewables accounting for just 12.5 percent of consumption and low-emissions nuclear another 4 percent. Those numbers would have to basically reverse in the next decade or so to get on track. I don’t see how that can happen.

No alt text provided for this image

Credit: Energy Information Administration

But even if 1.5°C is improbable in the short term, that doesn’t mean that missing the target won’t have consequences. And it certainly doesn’t mean giving up on addressing climate change. And in fact, there are some positive trends. Many companies are developing comprehensive plans for achieving net-zero emissions and are making those plans part of their long-term strategy. Moreover, while global emissions grew 0.9 percent in 2022, that was much less than GDP growth (3.2 percent). It’s worth noting, too, that much of the increase came from switching from gas to coal in response to the Russian invasion of Ukraine; that is the kind of supply shock that can be reversed. The point is that growth and emissions no longer move in lockstep; rather the opposite. That is critical because poorer countries are never going to take serious climate action if they believe it threatens their future prosperity.

Another implication is that limiting emissions means addressing the use of fossil fuels. As noted, even with the substantial rise in the use of renewables, coal, gas, and oil are still the core of the global energy system. They cannot be wished away. Perhaps it is time to think differently—that is, making fossil fuels more emissions efficient, by using carbon capture or other technologies; cutting methane emissions; and electrifying oil and gas operations. This is not popular among many climate advocates, who would prefer to see fossil fuels “stay in the ground.” That just isn’t happening. The much likelier scenario is that they are gradually displaced. McKinsey projects peak oil demand later this decade, for example, and for gas, maybe sometime in the late 2030s. Even after the peak, though, oil and gas will still be important for decades.

Second, in the longer term, it may be possible to get back onto 1.5°C if, in addition to reducing emissions, we actually remove them from the atmosphere, in the form of “negative emissions,” such as direct air capture and bioenergy with carbon capture and storage in power and heavy industry. The IPCC itself assumed negative emissions would play a major role in reaching the 1.5°C target; in fact, because of cost and deployment problems, it’s been tiny.

Finally, as I have argued before, it’s hard to see how we limit warming even to 2°C without more nuclear power, which can provide low-emissions energy 24/7, and is the largest single source of such power right now.

None of these things is particularly popular; none get the publicity of things like a cool new electric truck or an offshore wind farm (of which two are operating now in the United States, generating enough power for about 20,000 homes; another 40 are in development). And we cannot assume fast development of offshore wind. NIMBY concerns have already derailed some high-profile projects, and are also emerging in regard to land-based wind farms.

Carbon capture, negative emissions, and nuclear will have to face NIMBY, too. But they all have the potential to move the needle on emissions. Think of the potential if fast-growing India and China, for example, were to develop an assembly line of small nuclear reactors. Of course, the economics have to make sense—something that is true for all climate-change technologies.

And as the UN points out, there needs to be progress on other issues, such as food, buildings, and finance. I don’t think we can assume that such progress will happen on a massive scale in the next few years; the actual record since Paris demonstrates the opposite. That is troubling: the IPCC notes that the risks of abrupt and damaging impacts, such as flooding and crop yields, rise “with every increment of global warming.” But it is the reality.

There is one way to get us to 1.5°C, although not in the Paris timeframe: a radical acceleration of innovation. The approaches being scaled now, such as wind, solar, and batteries, are the same ideas that were being discussed 30 years ago. We are benefiting from long-term, incremental improvements, not disruptive innovation. To move the ball down the field quickly, though, we need to complete a Hail Mary pass.

It’s a long shot. But we’re entering an era of accelerated innovation, driven by advanced computing, artificial intelligence, and machine learning that could narrow the odds. For example, could carbon nanotubes displace demand for high-emissions steel? Might it be possible to store carbon deep in the ocean? Could geo-engineering bend the curve?

I believe that, on the whole, the world is serious about climate change. I am certain that the energy transition is happening. But I don’t think we are anywhere near to being on track to hit the 1.5°C target. And I don’t see how doing more of the same will get us there.

------

Scott Nyquist is a senior advisor at McKinsey & Company and vice chairman, Houston Energy Transition Initiative of the Greater Houston Partnership. The views expressed herein are Nyquist's own and not those of McKinsey & Company or of the Greater Houston Partnership. This article originally ran on LinkedIn.

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

Renewables to play greater role in powering data centers, JLL says

Data analysis

Renewable energy is evolving as the primary energy source for large data centers, according to a new report.

The 2026 Global Data Center Outlook from commercial real estate services giant JLL points out that the pivot toward big data centers being powered by renewable energy stems from rising electricity costs and tightening carbon reduction requirements. In the data center sector, renewable energy, such as solar and wind power, is expected to outcompete fossil fuels on cost, the report says.

The JLL forecast carries implications for the Houston area’s tech and renewable energy sectors.

As of December, Texas was home to 413 data centers, second only to Virginia at 665, according to Visual Capitalist. Dozens more data centers are in the pipeline, with many of the new facilities slated for the Houston, Austin, Dallas-Fort Worth and San Antonio areas.

Amid Texas’ data center boom, several Houston companies are making inroads in the renewable energy market for data centers. For example, Houston-based low-carbon energy supplier ENGIE North America agreed last May to supply up to 300 megawatts of wind power for a Cipher Mining data center in West Texas.

The JLL report says power, not location or cost, will become the primary factor in selecting sites for data centers due to multi-year waits for grid connections.

“Energy infrastructure has emerged as the critical bottleneck constraining expansion [of data centers],” the report says. “Grid limitations now threaten to curtail growth trajectories, making behind-the-meter generation and integrated battery storage solutions essential pathways for sustainable scaling.”

Behind-the-meter generation refers to onsite energy systems such as microgrids, solar panels and solar battery storage. The report predicts global solar capacity will expand by roughly 100 gigawatts between 2026 and 2030 to more than 10,000 gigawatts.

“Solar will account for nearly half of global renewable energy capacity in 2026, and despite its intermittent properties, solar will remain a key source of sustainable energy for the data center sector for years to come,” the report says.

Thanks to cost and sustainability benefits, solar-plus-storage will become a key element of energy strategies for data centers by 2030, according to the report.

“While some of this energy harvesting will be colocated with data center facilities, much of the energy infrastructure will be installed offsite,” the report says.

Other findings of the report include:

  • AI could represent half of data center workloads by 2030, up from a quarter in 2025.
  • The current five-year “supercycle” of data center infrastructure development may result in global investments of up to $3 trillion by 2030.
  • Nearly 100 gigawatts worth of new data centers will be added between 2026 and 2030, doubling global capacity.

“We’re witnessing the most significant transformation in data center infrastructure since the original cloud migration,” says Matt Landek, who leads JLL’s data center division. “The sheer scale of demand is extraordinary.”

Hyperscalers, which operate massive data centers, are allocating $1 trillion for data center spending between 2024 and 2026, Landek notes, “while supply constraints and four-year grid connection delays are creating a perfect storm that’s fundamentally reshaping how we approach development, energy sourcing, and market strategy.”

Houston-based NRG announces new CEO and succession plan

new leader

Houston-based NRG Energy Inc. announced Jan. 7 that it has appointed Robert J. Gaudette as president and CEO. Gaudette took over as president effective Jan. 7 and will assume the role of CEO April 30, coinciding with the company's next stockholder meeting.

Gaudette, who previously served as executive vice president and president of NRG Business and Wholesale Operations, will succeed Lawrence Coben in the leadership roles. Coben will remain an advisor to NRG through the end of the year and will also continue to serve as board chair until April 30. Antonio Carrillo, lead independent director at NRG, will take over as board chair.

"Rob has played a central role in strengthening NRG’s position as a leader in our industry through strategic growth, operational excellence, and customer-focused innovation," Coben said in the news release. "He is a strong, decisive leader with extensive knowledge of our business, markets, and customers. The Board and I are confident that Rob is the right person to lead NRG forward and take the NRG rocket ship to new heights. I can’t wait to see what comes next.”

Gaudette has been with NRG since 2001. He has served as EVP of NRG Business and Market Operations since 2022 and president of NRG Business and Market Operations since 2024. In these roles, he led NRG’s power generation and oversaw its portfolio of commercial and industrial products and services as well as its market operations, according to the company.

He has held various executive leadership roles at NRG. He earned his bachelor's degree in chemistry from The College of William and Mary and an MBA at Rice University, where he was a Jones Scholar. He also served four years as an Army officer.

“It is an honor to be appointed NRG’s next CEO at this transformative time for the energy sector and our company,” Gaudette said in the release. “With NRG’s electricity, natural gas and smart home portfolio, we are ideally positioned to meet America’s evolving energy needs. I am grateful to Larry and all my NRG colleagues, both past and present, who built our great company and positioned us for the future. I look forward to leading our incredible team to deliver affordable, resilient power for the customers and communities we serve, while creating substantial value for our shareholders.”

In addition to its traditional power generation and electricity businesses, NRG has been working to develop a 1-gigawatt virtual power plant by connecting thousands of decentralized energy sources by 2035 in an effort to meet Texas’ surging energy demands.

The company announced partnerships last year with two California-based companies to bolster home battery use and grow its network. NRG has said the VPP could provide energy to 200,000 homes during peak demand.

10+ must-attend Houston energy events happening in Q1 2026

Mark Your Calendar

Editor's note: With the new year comes a new slate of must-attend events for those in the Houston energy sector. We've rounded up a host of events to put on your calendar for Q1, including some that you can attend this month. Plus, other premier annual events will return in February and March 2026 and are currently offering early-bird, discounted registration. Book now.

Jan. 7-8 — AAPG Subsurface Energy to Power Workshop

This two-day AAPG workshop explores the expanding role of natural gas, geothermal, hydrogen, lithium, and uranium in accelerating electricity capacity. Participants will examine innovative solutions designed to reduce reliance on long-distance transmission lines, pipelines, and other costly infrastructure. Throughout the workshop, attendees will gain insight into both the technical deployment of subsurface resources and the land, legal, and permitting factors that influence project development.

This event begins Jan. 7 at Norris Conference Center at CityCentre. Register here.

Jan. 19-22 — PPIM 2026

The 38th international Pipeline Pigging & Integrity Management Conference and Exhibition takes place over four days at the George R. Brown Convention Center and the Hilton Americas. This industry forum is devoted exclusively to pigging for pipeline maintenance and inspection, engineering assessment, repair, risk management, and NDE. Two days of courses will take place Jan. 19-20, followed by the conference on Jan. 21-22, and the exhibition running Jan. 20-22. Register here.

Jan. 22 — MicroSeismic - Romancing Energy Forum

This forum will feature raw, unfiltered stories from the pioneers who changed the trajectory of American Shale. Attendees will gain insights into the playbooks, decisions, data, and lessons learned behind the biggest discoveries and engineering triumphs in modern energy. Keynote speakers include Tom and Diane Gates of Gates Ranch.

This event begins at 8 am on Jan. 22 at Norris Conference Center at CityCentre. Register here.

Jan. 22 — Houston Downton Luncheon: Beyond the Barrel: Pricing, Transition, and Geopolitics in 2026

Women's Energy Network Houston Chapter hosts this January lunch and learn featuring guest speaker Ha Nguyen with S&P Global Energy. Nguyen will discuss the global energy outlook for 2026, with a focus on strategic drivers, such as decarbonization and EV adoption, and a look at Houston's crucial role in the future of the U.S. market.

This event begins at 11:30 am on Jan. 22 at The Houston Club. Register here.

Feb. 18-20 — NAPE Summit Week 2026

NAPE is the energy industry’s marketplace for the buying, selling, and trading of prospects and producing properties. NAPE brings together all industry disciplines and companies of all sizes, and in 2026 it will introduce three new hubs — offshore, data centers, and critical minerals — for more insights, access, and networking opportunities. The event includes a summit, exhibition, and more.

This event begins Feb. 18 at George R. Brown Convention Center. Register here.

Feb. 24-26 — 2026 Energy HPC & AI Conference

The 2026 Energy HPC & AI Conference marks the 19th year for the Ken Kennedy Institute to convene experts from the energy industry, academia, and national labs to share breakthroughs for HPC and AI technologies. The conference returns to Houston with engaging speaker sessions, a technical talk program, networking receptions, add-on workshops, and more.

This event begins Feb. 24 at Rice University's BRC. Register here.

Feb. 26 — February Transition on Tap

Mix and mingle at Greentown Labs' first Transition on Tap event of the year. Meet the accelerator's newest startup members, who are working on innovations ranging from methane capture to emissions-free manufacturing processes to carbon management.

This event begins at 5:30 pm on Feb. 26 at Greentown Labs Houston. Register here.

March 2-4 — The Future Energy Summit

The Future Energy Summit is a premier global event bringing together visionaries, industry leaders, and energy experts to shape the future of energy. The second edition of the conference will provide a platform for groundbreaking discussions, cutting-edge technologies, and transformative strategies that will accelerate the energy transition.

This event begins March 2. Register here.

March 10-12 — World Hydrogen & Carbon Americas

S&P Global Energy brings together two leading events — Carbon Management Americas and World Hydrogen North America — to form a new must-attend event for those in the hydrogen and carbon industries. More than 800 senior leaders from across the energy value chain will attend this event featuring immersive roundtable discussions, hands-on training, real-world case studies, and unparalleled networking opportunities.

This event begins March 10 at Marriott Marquis Houston. Register here.

March 23-27 — CERAWeek 2026

CERAWeek 2026 will focus on "Convergence and Competition: Energy, Technology and Geopolitics." The industry's foremost thought leaders will convene in Houston to cultivate relationships and exchange transformative ideas during the annual event. Through the lens of 16 dynamic themes, CERAWeek 2026 will explore breakthroughs, cross-industry connections, and powerful partnerships that are accelerating the transformation of the global energy system.

This event begins March 23. Register here.