2 UH projects named finalists for $50M fund to shape future of Gulf Coast

Looking to the Future

One project involves the innovative recycling of wind turbines into seawall and coastal habitats. Courtesy rendering

Two University of Houston science projects have been selected as finalists for the Gulf Futures Challenge, which will award a total of $50 million to develop ideas that help benefit the Gulf Coast.

Sponsored by the National Academies of Science, Engineering and Medicine’s Gulf Coast Research Program and Lever for Change, the competition is designed to spark innovation around problems in the Gulf Coast, such as rising sea levels, pollution, energy security, and community resiliency. The two UH projects beat out 162 entries from organizations based in Alabama, Florida, Louisiana, Mississippi, and Texas.

“Being named a finalist for this highly competitive grant underscores the University of Houston’s role as a leading research institution committed to addressing the most pressing challenges facing our region,” said Claudia Neuhauser, vice president for research at UH.

“This opportunity affirms the strength of our faculty and researchers and highlights UH’s capacity to deliver innovative solutions that will ensure the long-term stability and resilience of the Gulf Coast.”

One project, spearheaded by the UH Repurposing Offshore Infrastructure for Continued Energy (ROICE) program, is studying ways to use decommissioned oil rig platforms in the Gulf of Mexico as both clean energy hydrogen power generators as well a marine habitats. There are currently thousands of such platforms in the Gulf.

The other project involves the innovative recycling of wind turbines into seawall and coastal habitats. Broken and abandoned wind turbine blades have traditionally been thought to be non-recyclable and end up taking up incredible space in landfills. Headed by a partnership between UH, Tulane University, the University of Texas Health Science Center at Houston, the city of Galveston and other organizations, this initiative could vastly reduce the waste associated with wind farm technology.

wind turbine recycled for Gulf Coast seawall. Wind turbines would be repurposed into seawalls and more. Courtesy rendering

"Coastal communities face escalating threats from climate change — land erosion, structural corrosion, property damage and negative health impacts,” said Gangbing Song, Moores Professor of Mechanical and Aerospace Engineering at UH and the lead investigator for both projects.

“Leveraging the durability and anti-corrosive properties of these of decommissioned wind turbine blades, we will build coastal structures, improve green spaces and advance the resilience and health of Gulf Coast communities through integrated research, education and outreach.”

The two projects have received a development grant of $300,000 as a prize for making it to the finals. When the winner are announced in early 2026, two of the projects will net $20 million each to bring their vision to life, with the rest earning a consolation prize of $875,000, in additional project support.

In the event that UH doesn't grab the grand prize, the school's scientific innovation will earn a guaranteed $1.75 million for the betterment of the Gulf Coast.

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This article originally appeared on CultureMap.com.

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The program will allow students to learn at their own pace, and is supported seven days a week by tutorial and technical staff, and offers flexible payment options with a low initial registration fee. Photo by Brett Sayles/Pexels

University of Houston System debuts new program to develop clean energy workforce

future of energy

University of Houston-Downtown announced a new Wind Turbine Technician Certificate Program.

UHD’s goal with the new program is to address the global need for workers skilled in servicing, diagnosing, repairing and installing wind turbines and other associated equipment.

The program will allow students to learn at their own pace, and is supported seven days a week by tutorial and technical staff, and offers flexible payment options with a low initial registration fee.

Some courses can be purchased as students work through them.The total cost is $1,750 for the entire program.

The course will be delivered in partnership with George Brown College in Toronto. George Brown College is a leader in distance learning, and one program highlight will be its 3D interactive wind turbine simulator. The wind turbine simulator will have key features like real-time visualization, interactive operation, pre-built lab projects, and Pitch and Yaw Ladder Logic applications, which shows how Programmable Logic Controllers (PLCs) are used to provide automatic control of wind turbines.

“The programs we develop at George Brown College feature robust technical simulation software so we can reach different students, like those looking to diversify their skills and can’t attend full time because of family or work commitments,” Colin Simpson, dean of continuous learning, says in a news release. “Additionally, our partnership with University of Houston-Downtown allows us to extend our reach to help train the U.S. clean energy workforce.”

According to Global Wind Energy Council’s Global Wind Report 2023, over half a million new wind technicians will be needed by 2026 to service the expected capacity increases, as wind generation is expected to more than double by 2030. Texas produces 26 percent of all U.S. wind-sourced electricity.

“Wind energy is one of the fastest-growing energy sources in the world, and as the largest wind producer in the United States, there is a growing need for skilled technicians in Texas,” UHD President Loren J. Blanchard adds. “By partnering with George Brown College, we’re able to leverage a unique online program to develop a skilled workforce for the wind energy sector in the state and beyond.”

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This article originally ran on EnergyCapital.

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Houston unicorn closes $421M to fuel first phase of flagship energy project

Heating Up

Houston geothermal unicorn Fervo Energy has closed $421 million in non-recourse debt financing for the first phase of its flagship Cape Station project in Beaver County, Utah.

Fervo believes Cape Station can meet the needs of surging power demand from data centers, domestic manufacturing and an energy market aiming to use clean and reliable power. According to the company, Cape Station will begin delivering its first power to the grid this year and is expected to reach approximately 100 megwatts of operating capacity by early 2027. Fervo added that it plans to scale to 500 megawatts.

The $421 million financing package includes a $309 million construction-to-term loan, a $61 million tax credit bridge loan, and a $51 million letter of credit facility. The facilities will fund the remaining construction costs for the first phase of Cape Station, and will also support the project’s counterparty credit support requirements.

Coordinating lead arrangers include Barclays, BBVA, HSBC, MUFG, RBC and Société Générale, with additional participation from Bank of America, J.P. Morgan and Sumitomo Mitsui Trust Bank, Limited, New York Branch.

“As demand for firm, clean, affordable power accelerates, EGS (Enhanced Geothermal Systems) is set to become a core energy asset class for infrastructure lenders,” Sean Pollock, managing director, project Finance at RBC Capital Markets, said in a news release. “Fervo is pioneering this step change with Cape Station, a vital contribution to American energy security that RBC is proud to support.”

The oversubscribed financing marks Cape Station’s shift from early-stage and bridge funding to a long-term, non-recourse capital structure, according to the news release.

“Non-recourse financing has historically been considered out of reach for first-of-a-kind projects,” David Ulrey, CFO of Fervo Energy, said in a news release. “Cape Station disrupts that narrative. With proven oil and gas technology paired with AI-enabled drilling and exploration, robust commercial offtake, operational consistency, and an unrelenting focus on health and safety, we have shown that EGS is a highly bankable asset class.”

Fervo continues to be one of the top-funded startups in the Houston area. The company has raised about $1.5 billion prior to the latest $421 million. It also closed a $462 million Series E in December.

According to Axios Pro, Fervo filed for an IPO that would value the company between $2 billion and $3 billion in January.

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This article first appeared on EnergyCapitalHTX.com.

Houston food giant Sysco to acquire competitor in $29 billion deal

Mergers & Acquisitions

Sysco, the nation's largest food distributor, will acquire supplier Restaurant Depot in a deal worth more than $29 billion.

The acquisition would create a closer link between Sysco and its customers that right now turn to Restaurant Depot for supplies needed quickly in an industry segment known as “cash-and-carry wholesale.”

Sysco, based in Houston, serves more than 700,000 restaurants, hospitals, schools, and hotels, supplying them with everything from butter and eggs to napkins. Those goods are typically acquired ahead of time based on how much traffic that restaurants typically see.

Restaurant Depot offers memberships to mom-and-pop restaurants and other businesses, giving them access to warehouses stocked with supplies for when they run short of what they've purchased from suppliers like Sysco.

It is a fast growing and high-margin segment that will likely mean thousands of restaurants will rely increasingly on Sysco for day-to-day needs.

Restaurant Depot shareholders will receive $21.6 billion in cash and 91.5 million Sysco shares. Based on Sysco’s closing share price of $81.80 as of March 27, 2026, the deal has an enterprise value of about $29.1 billion.

Restaurant Depot was founded in Brooklyn in 1976. The family-run business then known as Jetro Restaurant Depot, has become the nation's largest cash-and-carry wholesaler.

The boards of both companies have approved the acquisition, but it would still need regulatory approval.

Shares of Sysco Corp. tumbled 13% Monday to $71.26, an initial decline some industry analysts expected given the cost of the deal.

Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”

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