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

jobs report

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.”

Houston energy trailblazer Fervo closes $462 million Series E

Fresh Funds

Houston-based geothermal energy company Fervo Energy has closed an oversubscribed $462 million series E funding round, led by new investor B Capital.

“Fervo is setting the pace for the next era of clean, affordable, and reliable power in the U.S.,” Jeff Johnson, general partner at B Capital, said in a news release.

“With surging demand from AI and electrification, the grid urgently needs scalable, always-on solutions, and we believe enhanced geothermal energy is uniquely positioned to deliver. We’re proud to support a team with the technical leadership, commercial traction, and leading execution capabilities to bring the world’s largest next-generation geothermal project online and make 24/7 carbon-free power a reality.”

The financing reflects “strong market confidence in Fervo’s opportunity to make geothermal energy a cornerstone of the 24/7 carbon-free power future,” according to the company. The round also included participation from Google, a longtime Fervo Partner, and other new and returning investors like Devon Energy, Mitsui & Co., Ltd., Mitsubishi Heavy Industries and Centaurus Capital. Centaurus Capital also recently committed $75 million in preferred equity to support the construction of Cape Station Phase I, Fervo noted in the release.

The latest funding will support the continued buildout of Fervo’s Utah-based Cape Station development, which is slated to start delivering 100 MW of clean power to the grid beginning in 2026. Cape Station is expected to be the world's largest next-generation geothermal development, according to Fervo. The development of several other projects will also be included in the new round of funding.

“This funding sharpens our path from breakthrough technology to large-scale deployment at Cape Station and beyond,” Tim Latimer, CEO and co-founder of Fervo, added in the news release. “We’re building the clean, firm power fleet the next decade requires, and we’re doing it now.”

Fervo recently won Scaleup of the Year at the 2025 Houston Innovation Awards, and previously raised $205.6 million in capital to help finance the Cape Station earlier this year. The company fully contracted the project's capacity with the addition of a major power purchase agreement from Shell this spring. Fervo’s valuation has been estimated at $1.4 billion and includes investments and support from Bill Gates.

“This new investment makes one thing clear: the time for geothermal is now,” Latimer added in a LinkedIn post. “The world desperately needs new power sources, and with geothermal, that power is clean and reliable. We are ready to meet the moment, and thrilled to have so many great partners on board.”

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This article originally appeared on EnergyCapitalHTX.com.

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

NIH funding

Baylor College of Medicine’s Center for Precision Medicine Models received a $10 million, five-year grant from the National Institutes of Health last month 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.

The center was originally funded by an NIH grant, and its models have contributed to the discovery of several new rare disease genes and new symptoms caused by known disease genes. It hosts an online portal that allows physicians, families and advocacy groups to nominate genetic variants or rare diseases that need further investigation or new treatments.

Since its founding in 2020, it has received 156 disease/variant nominations, accepted 63 for modeling and produced more than 200 precision models, according to Baylor.

The center plans to use the latest round of funding to bring together more experts in rare disease research, animal modeling and bioinformatics, and to expand its focus and model more complex diseases.

Dr. Jason Heaney, associate professor in the Department of Molecular and Human Genetics at BCM, serves as the lead principal investigator of the center.

“The Department of Molecular and Human Genetics is uniquely equipped to bring together the diverse expertise needed to connect clinical human genetics, animal research and advanced bioinformatics tools,” Heaney added in the release. “This integration allows us to drive personalized medicine forward using precision animal models and to turn those discoveries into better care for patients.”