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

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.
UH's Jian Shi recently received the NSF's CAREER award, which will dole out $500,861 in funding through February 2029. Photo via UH.edu

Houston researcher scores $500,000 award to continue on work on energy transition

zeroing in on zero emissions

A University of Houston professor and researcher is laser focused on his work within the energy transition, and National Science Foundation has taken note, awarding him over half a million dollars in funding.

Jian Shi, an assistant professor within the Cullen College of Engineering, recently received the NSF's CAREER award, which will dole out $500,861 in funding through February 2029.

The award was granted for his research, entitled “A Unified Zero-Carbon-Driven Design Framework for Accelerating Power Grid Deep Decarbonization.”

“One of the most major challenges inherent in energy transition is the cost. While reducing carbon emissions serves the best interest of society in the long run, the short-term financial burdens also need to be carefully evaluated to ensure that we have a safe, affordable, reliable and just transition for all,” Shi says in a UH news release. “This challenge has inspired me to work on the innovative framework of “ZERO-Accelerator.”

Shi's ZERO-Accelerator is focused on taking standard carbon-driven tools and integrating them into current power grid operational practices. Shi is the director and founder of SOAR, or the Smart and ZerO-Carbon Energy Analytics and Research Lab.

“It synthesizes interactions from multiple key stakeholders involved in the electricity ecosystem,” says Shi. “The framework considers how to manage carbon allowance allocation and trading for electricity producers, how to maintain a 24/7 zero-carbon power grid for power grid operators and how to enable consumers to understand their carbon footprint and participate in the zero-carbon grid operation.”

In his CAREER proposal, Shi explains that he is also contributing to training the future energy workforce. He adds that he shares this award with his colleagues.

“I believe no accomplishment is truly individual,” he says. “Rather, it is a collective triumph achieved through collaboration, support and shared dedication. As I reflect on the milestones I've reached, I am compelled to express my deepest gratitude to my esteemed colleagues whose unwavering commitment has been instrumental in not just my collective success, but our collective success as well."

Last summer, Shi mentored a UH team in the inaugural American-Made Carbon Management Collegiate Competition, hosted by the U.S. Department of Energy's Office of Fossil Energy and Carbon Management. The team, GreenHouston, took third place in the competition, securing a $5,000 cash prize.

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Fervo taps into its hottest-ever geothermal reservoir

heat record

Things are heating up at Houston-based geothermal power company Fervo Energy.

Fervo recently drilled its hottest well so far at a new geothermal site in western Utah. Fewer than 11 days of drilling more than 11,000 feet deep at Project Blanford showed temperatures above 555 degrees Fahrenheit, which exceeds requirements for commercial viability. Fervo used proprietary AI-driven analytics for the test.

Hotter geothermal reservoirs produce more energy and improve what’s known as energy conversion efficiency, which is the ratio of useful energy output to total energy input.

“Fervo’s exploration strategy has always been underpinned by the seamless integration of cutting-edge data acquisition and advanced analytics,” Jack Norbeck, Fervo’s co-founder and chief technology officer, said in a news release. “This latest ultra-high temperature discovery highlights our team’s ability to detect and develop EGS sweet spots using AI-enhanced geophysical techniques.”

Fervo says an independent review confirms the site’s multigigawatt potential.

The company has increasingly tapped into hotter and hotter geothermal reservoirs, going from 365 degrees at Project Red to 400 degrees at Cape Station and now more than 555 degrees at Blanford.

The new site expands Fervo’s geologic footprint. The Blanford reservoir consists of sedimentary formations such as sandstones, claystones and carbonates, which can be drilled more easily and cost-effectively than more commonly targeted granite formations.

Fervo ranks among the top-funded startups in the Houston area. Since its founding in 2017, the company has raised about $1.5 billion. In January, Fervo filed for an IPO that would value the company at $2 billion to $3 billion, according to Axios Pro.

Texas claims No. 1 spot on new energy resilience report

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

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

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

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

Other key stats in the report for Texas included:

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

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

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

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

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

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