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.

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

A team of Rice University researchers has found a way to convert data center waste into clean power using rooftop solar collectors. Photo courtesy Rice University.

Rice University team finds economical way to recycle data center heat into power

waste not

As data centers expand, their energy demands rise as well. Researchers at Rice University have discovered a way to capture low-temperature waste heat from data centers and convert it back into usable power.

The team has introduced a novel solar thermal-boosted organic Rankine cycle (ORC)—a power system that uses a safe working fluid to make electricity from heat. The design incorporates low-cost rooftop flat-plate solar collectors, which warm the data center’s coolant stream before it enters the ORC. The findings, published in Solar Energy, show that the additional “solar bump” helps surpass the technical roadblocks with data center waste, which has typically been too cool to generate power on its own.

The research was supported by the Alliance for Sustainable Energy LLC, the National Renewable Energy Laboratory and the U.S. Department of Energy.

“There’s an invisible river of warm air flowing out of data centers,” Laura Schaefer, the Burton J. and Ann M. McMurtry Chair of Mechanical Engineering at Rice and co-author of the paper, said in a news release. “Our question was: Can we nudge that heat to a slightly higher temperature with sunlight and convert a lot more of it into electricity? The answer is yes, and it’s economically compelling.”

Traditionally, electric heat pumps have been used to raise temperatures before recovery, but the benefits were limited because the pumps consumed significant extra power.

Kashif Liaqat, a graduate student in mechanical engineering at Rice, and Schaefer achieved a "temperature lift” by using solar energy to create thermoeconomic models. They modeled affordable, low-profile rooftop solar collectors that fed into an ORC and tied into a liquid-cooling loop. The collectors were validated against industry tools and tested at some of America’s largest data center hubs in Ashburn, Virginia, and Los Angeles, which provided varying climate challenges.

The system recovered 60 percent to 80 percent more electricity annually from the same waste heat, with a 60 percent boost in Ashburn and an 80 percent boost in Los Angeles, according to Rice. It also achieved over 8 percent higher ORC efficiency during peak hours, and an increase in annual average efficiency. The approach also lowered the cost of electricity from the recovered power by 5.5 percent in Ashburn and by 16.5 percent in Los Angeles.

“What the industry considers a weakness becomes a strength once you add solar,” Liaqat said in a news release. “That’s great news for modern data centers.”

Next up, the team will look to pilot its hybrid system in operational sites and explore thermal storage, which the researchers hope could bank solar heat during the day to assist with energy recovery efforts at night.

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Japanese company plans $357M solar manufacturing plant in Houston area

coming soon

Japanese solar manufacturing company TOYO Co. Ltd. plans to invest $357 million to bring a 1.5-gigwatt solar cell manufacturing facility to the Houston area.

TOYO’s latest state-of-the-art facility will be co-located at its existing solar module site in Humble, according to a news release from the company. It will produce heterojunction (HJT) solar cells, which are known to be more durable and efficient with a higher heat threshold.

TOYO reports that the new facility will create 400 full-time manufacturing jobs. The project is expected to be completed in 20 months, which includes an initial pilot production.

"Expanding into domestic cell manufacturing is the natural next step in our commitment to creating an integrated onshore solar supply chain from polysilicon to panels," Takahiko Onozuka, chairman and CEO of TOYO, said in the news release. "Co-locating 1.5 GW of HJT cell capacity at our Houston module site significantly optimizes our capital allocation and infrastructure spend.”

TOYO entered the Houston market in 2024 through its acquisition of a majority stake in Solar Plus Technology Texas LLC.

Earlier this year, it began producing solar modules at its 567,140-square-foot plant in Lovett Industrial’s Nexus North Logistics Park. At the time, the company said it planned to expand manufacturing capacity to 6.5 gigawatts.

"The new cell plant reflects TOYO's long-term strategy to build a fully FEOC-compliant domestic manufacturing platform focused on serving the needs of the U.S. utility-scale solar market," Rhone Resch, TOYO's chief strategy officer, added in the release. "By producing premium solar products in the United States, we will be well positioned to meet the market's evolving domestic content requirements while strengthening supply chain security and reliability. Looking ahead, we believe HJT is the optimal technology platform for integrating next-generation perovskite solar cells, which we expect will drive the next major advancement in solar conversion efficiency and support TOYO's long-term technology roadmap.”

New survey reveals concerns over AI data center growth in Houston

data findings

A new report out of the University of Houston shows that area residents remain wary of the long-term effects of operating data centers.

The recent survey from the University of Houston’s latest SPACE City Panel, conducted by the Center for Public Policy at the Hobby School of Public Affairs, shows that while 85 percent of Houston-area residents use AI, nearly 63 percent oppose the construction of AI data centers within 1 mile of their homes.

Respondents’ concerns centered around data centers’ high energy demand and the area’s power grid reliability. According to the survey, 32 percent of residents who oppose local data center projects would be more likely to support the centers if they relied on renewable energy over fossil fuels.

“Respondents understand that AI can bring economic and educational benefits, but they are also concerned about the physical infrastructure needed to fuel AI, especially data centers,” Soran Mohtadi, post-doctoral fellow at the Hobby School and a researcher on the report, said in a news release. “This physical infrastructure demands more electricity and water, leading to environmental impacts.”

Experts estimate that 6.5 gigawatts of data center capacity will be added to the Texas grid by 2030. And Houston’s data center capacity is predicted to more than double by 2028.

The Electric Reliability Council of Texas also projects electricity demand could reach 218 gigawatts by 2031, which would be more than double the record peak set in August 2023. Data centers are expected to account for 86 gigawatts of that new demand.

Survey respondents also said they are concerned about the state's future water supply, given the large amounts of water that data centers need to stay cool.

In terms of who’s responsible for that issue, 57.6 percent of respondents said they put the onus on Texas lawmakers, while 31.5 percent say tech companies should be responsible.

Additionally, more than 75 percent of respondents believed that data center developers and technology companies—not residents—should bear the cost of infrastructure upgrades to support data centers.

“Every decision legislators make has implications on residents’ everyday lives and local infrastructure now and in the future,” Maria P. Perez Arguelles, lead researcher on the report and research assistant professor at the Hobby School, added in the news release. “This issue is going to become more important in years to come, so this is just the beginning.”

Read the full report here.

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