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.

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Houston geothermal company picks Nevada site for commercial-scale project

coming soon

Sage Geosystems, a Houston-based developer of geothermal power systems, has chosen a site in Nevada for its commercial-scale Project Vector facility.

The company’s two-well enhanced geothermal system (EGS) will deliver around-the-clock geothermal heat to Ormat Technologies’ Blue Mountain geothermal power plant in Winnemucca, Nevada.

The startup expects to begin drilling the first well later this year, with the first electricity to be generated in 2027 and full-scale production to start in 2028.

In the Nevada system, fluid will circulate through an engineered subsurface reservoir, absorb heat from the surrounding rock and return heat to the surface. The heat will be delivered to the Blue Mountain plant for conversion into electricity.

Project Vector builds on the performance of Sage’s SMECI facility in South Texas. That facility’s results, combined with Sage’s digital twin platform, will be used to shape to the design and development of Project Vector.

Project Vector supports Sage’s growing commercial pipeline, including a 150-megawatt geothermal power agreement with Meta Platforms, the parent company of Facebook and Instagram.

“Blue Mountain is an ideal location for Sage to take the next step in continuing to commercialize our proprietary EGS approach,” Jason Peart, chief operating officer at Sage, said in a release. “By delivering geothermal heat into an existing power plant, Project Vector can demonstrate the model for bringing firm, 24/7 geothermal power to market at scale.”

Project Vector extends Sage’s relationship with Ormat.

In August 2025, Sage and Ormat agreed to accelerate commercialization of Sage’s geothermal technology at an Ormat power plant. This January, Ormat co-led Sage’s $97 million Series B funding round.

Sage, founded in 2020, has raised about $159 million across three funding rounds.

As the startup ramps up its ESG platform, Sage is targeting data centers as customers, among other large-scale users of electricity.

“The energy needs are huge, and they need it now,” CEO Cindy Taff said on Data Center Frontiers’ podcast. “They can’t depend on the grid anymore.”

Houston’s power advantage: Key takeaways from 2026 HETI Power Summit

The view from heti

Power has become a defining economic development issue as electricity demand rises across Texas.

Industrial expansion, advanced manufacturing, AI and data center growth are increasing the importance of reliable, affordable power delivered on the timelines major projects require.

The 2026 HETI Power Summit, titled Houston’s Power Advantage: Competing for Large-Load Growth, brought together leaders from utilities, power producers, large energy customers, technology and infrastructure providers, professional services firms and the public sector to examine how Houston can meet this moment.

Across keynotes, research report-outs, panel discussions and a fireside chat, a consistent theme emerged: Houston’s power advantage comes from the region’s ability to align utilities, customers, infrastructure, flexible demand, emerging solutions and regional partners around reliable, affordable and timely growth.

Reliability and Readiness

Public Utility Commission of Texas Commissioner Kathleen Jackson opened the summit by emphasizing reliability as the foundation for continued growth as Texas electricity demand rises.

Commissioner Jackson underscored the importance of sustained planning and investment to support new industrial, manufacturing and digital demand while maintaining a reliable power system. Remarks framed the morning’s broader discussion of how Houston can pair reliability with speed, affordability and long-term system readiness.

Scott Cockerham of FTI Consulting previewed HETI and FTI’s “Texas Power Market & Industry Assessment”. The research identifies accessibility, reliability, affordability, market flexibility and infrastructure readiness as key dimensions of regional competitiveness.

Leaders from FTI Consulting, Kroll, AWS and Constellation also discussed factors shaping major investment decisions, including reliability, infrastructure timelines, cost certainty, site readiness, community support and regional coordination.

For large customers, these factors must translate into credible project-level execution. Confidence in system performance, energization timelines and infrastructure plans can materially influence major capital commitments.

Building for the Houston We Want to Become

Jason Ryan of CenterPoint Energy challenged participants to plan now for the infrastructure needed to support Houston’s next phase of growth. Drawing on the idea that “what got you here won’t get you there,” Ryan urged the region to build infrastructure for “the Houston we want to become” and stay ahead of large-load demand.

A fireside discussion between CenterPoint Energy and Foxconn brought that challenge to the customer level. The conversation explored how early coordination between utilities and large customers can help advanced manufacturing projects move from site selection and planning to construction and operation.

Long-term growth will require continued investment in generation, transmission and distribution. In the near term, better use of existing infrastructure can create additional capacity.

HETI also shared findings from its Role of Efficiency & Demand Response to Meet Near-Term Regional Power Demand report. Energy efficiency can lower baseline electricity use, while demand response can shift or reduce demand during critical periods. Combined with supply-side investment, these tools can create grid headroom as longer-term infrastructure advances.

The summit’s closing panel, featuring leaders from Amperon, Enchanted Rock, EY and Quanta Services, expanded the discussion to emerging solutions. Panelists explored modular and flexible generation, advanced forecasting, grid intelligence and greater coordination among utilities, customers, infrastructure providers and communities.

Houston’s broader regional power landscape adds another dimension. Entergy Texas President and CEO Eli Viamontes described Southeast Texas as experiencing an “extraordinary trifecta of residential, industrial and data center growth.” His remarks highlighted how the MISO-facing portion of the region complements Houston’s ERCOT strengths through utility planning, generation and infrastructure investment, resource adequacy and coordination with major industrial customers.

Together, these approaches point to a broader strategy: invest for long-term demand while using flexibility, technology and regional coordination to create capacity for growth today.

From Power Advantage to Economic Advantage

Taken together, the Power Summit discussions point to a clear priority for Houston: translating power market and infrastructure strengths into coordinated execution.

Priority areas include earlier infrastructure planning, stronger site and project readiness, clearer pathways from projected demand to reliably served load, expanded efficiency and flexibility, and sustained coordination among utilities, customers, policymakers, communities, technology providers and economic development organizations.

HETI is advancing this work through research and convening efforts focused on Houston’s evolving power needs and economic competitiveness.

The 2026 Power Summit reinforced Houston’s strong foundation for power-intensive growth and the importance of aligning investment, reliability, flexibility and regional coordination around the next generation of economic opportunity.

———

This article originally appeared on the Greater Houston Partnership's Houston Energy Transition Initiative blog. HETI exists to support Houston's future as an energy leader. Gain more insights from HETI’s Energy Efficiency and Demand Response Report.

Houston geothermal companies secure more than $45M in DOE funding

geothermal boost

Three Houston-based companies—Fervo Energy, Quaise Energy and XGS Energy—have been selected by the U.S. Department of Energy to advance geothermal technologies and field tests.

Combined, the companies will receive more than $45 million in funding from the DOE's Next-Generation Geothermal Field Tests and Geothermal Resource Characterization and Confirmation initiative. The projects were among 21 selected from around the country to receive a total of $99 million.

Fervo was selected to conduct two projects under the initiative for approximately $20 million in funding. For the first project, the geothermal unicorn, which achieved first power at its flagship geothermal plant last week, will drill and complete enhanced geothermal systems (EGS) wells in Elmore County, Idaho, and will deploy high-temperature seismic monitoring technology at record-high temperatures at or above 200°C.

For the second project, the company will conduct an appraisal drilling campaign at a "high-priority" site in Humboldt County, Nevada, to confirm if the reservoir is suitable for EGS development.

“We are grateful to the Department of Energy for funding these grants. We believe this is a clear indication from the federal government that expanding geothermal energy to new states is a national priority,” Jack Norbeck, CTO and co-founder of Fervo Energy, said in a news release. “We expect this funding to accelerate Fervo’s pipeline and advance the cutting edge of geothermal technologies.”

Fresh off a $180 million Series B, Quaise Energy also received $25 million in DOE funding through the initiative to support its Project Obsidian super hot geothermal plant in Central Oregon. The funding will go toward the analysis of the drilling, stimulation and flow results of the first two wells at the Project Obsidian site, which will help the company optimize its third well on site.

“This DOE support is a recognition of what we are building at Quaise and the progress we are making in the field, including the confirmation well currently being drilled at Project Obsidian,” Carlos Araque, CEO and president of Quaise, said in a release. “Our ambition has always been to make superhot geothermal a commercial reality, and Project Obsidian is where we first deliver on that promise.”

XGS Energy, which recently relocated its headquarters from Palo Alto, California, to Houston, was also selected for an exploration drilling project. The company will drill a deep vertical appraisal well in Socorro County, New Mexico, to determine if the site is a viable source of geothermal energy. XGS had not disclosed a funding estimate at press time.

The full value of the proposed DOE funding is subject to completion of award negotiations, according to Quaise.

Data from these projects will be shared through DOE’s Geothermal Data Repository (GDR), providing valuable information to researchers and stakeholders in the geothermal sector.

“This is an excellent example of how public and private entities can partner together to scale critical energy technologies,” Tim Latimer, CEO and co-founder of Fervo, added in a release. “With this funding, the Department of Energy is making important investments to help Americans across the country gain access to clean, affordable geothermal energy.”

Other geothermal companies and institutions from around the country will complete the 17 remaining projects. They include:

  • Denver-based 400C Energy Inc.
  • Salt Lake City-based AlterG Resources
  • Denver-based DAVINCI EP LLC
  • Anchorage-based GeoAlaska LLC
  • Oklahoma City-based GreenFire Energy Inc.
  • Virginia-based Hexagon Energy LLC
  • Virginia-based INTEK Inc.
  • Chicago-based Invenergy Geothermal Development LLC
  • Massachusetts-based LiPower Geothermal LLC
  • Fort Worth-based Oriah Geothermal LLC
  • Reno-based Raser Power Systems LLC
  • Santa Fe-based San Ildefonso Services LLC
  • Salt Lake City-based The University of Utah
  • Reno-based TLS Geothermics Corp.
  • Salt Lake City-based Zanskar Geothermal and Minerals

Read more about the full list of projects here.