Despite its high energy production, Texas has had more outages than any other state over the past five years due to the increasing frequency and severity of extreme weather events and rapidly growing demand. Photo via Getty Images

Texas stands out among other states when it comes to energy production.

Even after mass rolling blackouts during Winter Storm Uri in 2021, the Lone Star State produced more electricity than any other state in 2022. However, it also exemplifies how challenging it can be to ensure grid reliability. The following summer, the state’s grid manager, the Electrical Reliability Council of Texas (ERCOT), experienced ten occasions of record-breaking demand.

Despite its high energy production, Texas has had more outages than any other state over the past five years due to the increasing frequency and severity of extreme weather events and rapidly growing demand, as the outages caused by Hurricane Beryl demonstrated.

A bigger storm is brewing

Electric demand is poised to increase exponentially over the next few years. Grid planners nationwide are doubling their five-year load forecast. Texas predicts it will need to provide nearly double the amount of power within six years. These projections anticipate increasing demand from buildings, transportation, manufacturing, data centers, AI and electrification, underscoring the daunting challenges utilities face in maintaining grid reliability and managing rising demand.

However, Texas can accelerate its journey to becoming a grid reliability success story by taking two impactful steps. First, it could do more to encourage the adoption of distributed energy resources (DERs) like residential solar and battery storage to better balance the prodigious amounts of remote grid-scale renewables that have been deployed over the past decade. More DERs mean more local energy resources that can support the grid, especially local distribution circuits that are prone to storm-related outages. Second, by combining DERs with modern demand-side management programs and technology, utilities can access and leverage these additional resources to help them manage peak demand in real time and avoid blackout scenarios.

Near-term strategies and long-term priorities

Increasing electrical capacity with utility-scale renewable energy and storage projects and making necessary electrical infrastructure updates are critical to meet projected demand. However, these projects are complex, resource-intensive and take years to complete. The need for robust demand-side management is more urgent than ever.

Texas needs rapidly deployable solutions now. That’s where demand-side management comes in. This strategy enables grid operators to keep the lights on by lowering peak demand rather than burning more fossil fuels to meet it or, worse, shutting everything off.

Demand response, a demand-side management program, is vital in balancing the grid by lowering electricity demand through load control devices to ensure grid stability. Programs typically involve residential energy consumers volunteering to let the grid operator reduce their energy consumption at a planned time or when the grid is under peak load, typically in exchange for a credit on their energy bill. ERCOT, for example, implements demand responseand rate structure programs to reduce strain on the grid and plans to increase these strategies in the future, especially during the months when extreme weather events are more likely and demand is highest.

The primary solution for meeting peak demand and preventing blackouts is for the utility to turn on expensive, highly polluting, gas-powered “peaker” plants. Unfortunately, there’s a push to add more of these plants to the grid in anticipation of increasing demand. Instead of desperately burning fossil fuels, we should get more out of our existing infrastructure through demand-side management.

Optimizing existing infrastructure

The effectiveness of demand response programs depends in part on energy customers' participation. Despite the financial incentive, customers may be reluctant to participate because they don’t want to relinquish control over their AC. Grid operators also need timely energy usage data from responsive load control technology to plan and react to demand fluctuations. Traditional load control switches don’t provide these benefits.

However, intelligent residential load management technology like smart panels can modernize demand response programs and maximize their effectiveness with real-time data and unprecedented responsiveness. They can encourage customer participation with a less intrusive approach – unlocking the ability for the customer to choose from multiple appliances to enroll. They can also provide notifications for upcoming demand response events, allowing the customer to plan for the event or even opt-out by appliance. In addition to their demand response benefits, smart panels empower homeowners to optimize their home energy and unlock extended runtime for home batteries during a blackout.

Utilities and government should also encourage the adoption of distributed energy resources like rooftop solar and home batteries. These resources can be combined with residential load management technology to drastically increase the effectiveness of demand response programs, granting utilities more grid-stabilizing resources to prevent blackouts.

Solar and storage play a key role

During the ten demand records in the summer of 2023, batteries discharging in the evening helped avoid blackouts, while solar and wind generation covered more than a third of ERCOT's daytime load demand, preventing power price spikes.

Rooftop solar panels generate electricity that can be stored in battery backup systems, providing reliable energy during outages or peak demand. Smart panels extend the runtime of these batteries through automated energy optimization, ensuring critical loads are prioritized and managed efficiently.

Load management technology, like smart panels, enhances the effectiveness of DERs. In rolling blackouts, homeowners with battery storage can rely on smart panels to manage energy use, keeping essential appliances operational and extending stored energy usability. Smart panels allow utilities to effectively manage peak demand, enabling load flexibility and preventing grid overburdening. These technologies and an effective demand response strategy can help Texans optimize the existing energy capacity and infrastructure.

A more resilient energy future

Texas can turn its energy challenges into opportunities by embracing advanced energy management technologies and robust demand-side strategies. Smart panels and distributed energy resources like solar and battery storage offer a promising path to a resilient and efficient grid. As Texans navigate increasing electricity demands and extreme weather events, these innovations provide hope for a future where reliable energy is accessible to all, ensuring grid stability and enhancing the quality of life across the state.

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Kelly Warner is the CEO of Lumin, a responsive energy management solutions company.

This article originally ran on EnergyCapital.
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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”