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Untapped potential: The role of residential energy management in Texas

Guest Column

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 response and 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.

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NASA and Houston researcher tackle climate-driven water quality risks

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Climate change means far more to public health than living with hotter days. Transformations in our weather are contributing to challenges in accessing safe drinking water in some communities.

One of the most dire situations is along the US–Mexico border. The National Aeronautics and Space Administration (NASA) is seeking to address that issue with its Water Quality Applications program. An 11-researcher project led by a UTHealth Houston School of Public Health faculty member has been selected to participate.

“Drinking water is one of the most fundamental public health protections, but producing safe drinking water involves a delicate balance,” Yun Hang, assistant professor of environmental and occupational health sciences, said in a news release. Her team’s proposal was one of 93 that were submitted for funding through NASA’s Research Opportunities in Space and Earth Sciences (ROSES)-2025 program.

This is the first time that NASA has worked with a team devoted to water quality applications. The group, which includes researchers from across the nation, will use satellite observations of Earth, as well as hydrologic modeling, to potentially anticipate and act on water quality conditions as they change. Challenges addressed over the course of the three-year program, which kicked off in June, might include problems with water quality due to climate variability and increased pressure on water resources.

Hang’s team will focus on a pair of borderlands: Paso del Norte and the Rio Grande Valley.

“Working closely with El Paso Water ensures that our research addresses real operational needs while helping utilities better prepare for climate-related water quality changes and continue providing safe drinking water to communities across the Texas border region,” Hang added in the release.

She and the team will use data gathered by NASA on both past and future Earth-observing missions, which will allow them to track environmental changes that may affect source water quality. Combined with past water treatment records and hydrologic models, the team will also utilize artificial intelligence to develop predictive tools that aim to stop issues before they become larger hurdles to water safety.

Another one of the project’s goals is to create visualization tools and source water summaries that can be utilized by those without scientific expertise. The tools will be produced in English and Spanish to further broaden their accessibility.

The hope is that the materials made by the team will also go far beyond the border, with protocols that can be adapted or adopted by other areas dealing with water quality issues.

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

New research reveals what really drives data center location decisions

Guest Column

Recent power outages and the surge in AI-driven computing have made data center siting decisions more consequential than ever, especially as energy and water constraints tighten. Communities invest public dollars on the promise of jobs and growth, while firms weigh long-term commitments to land, power and connectivity.

Against that evolving backdrop, a critical question comes into focus: Where do data centers get built — and what actually drives those decisions?

A new study by Tommy Pan Fang (Rice Business) and Shane Greenstein (Harvard Business School) provides the first large-scale statistical analysis of data center location strategies across the United States. It offers policymakers and firms a clearer starting point for understanding how different types of data centers respond to economic and strategic incentives.

Published in the journal Strategy Science, the study examines two major types of infrastructure: third-party colocation centers that lease server space to multiple firms, and hyperscale cloud centers owned by providers like Amazon, Google and Microsoft.

Key takeaways:

  • Third-party colocation centers are physical facilities in close proximity to firms that use them, while cloud providers operate large data centers from a distance and sell access to virtualized computing resources as on‑demand services over the internet.
  • Hospitals and financial firms often require urban third-party centers for low latency and regulatory compliance, while batch processing and many AI workloads can operate more efficiently from lower-cost cloud hubs.
  • For policymakers trying to attract data centers, access to reliable power, water and high-capacity internet matter more than tax incentives.

What are the two main data center location strategies?

The study draws on pre-pandemic data from 2018 and 2019, a period of relative geographic stability in supply and demand. This window gives researchers a clean baseline before remote work, AI demand and new infrastructure pressures began reshaping internet traffic patterns.

The findings show that data centers follow a bifurcated geography:

  • Third-party centers cluster in dense urban markets, where buyers prioritize proximity to customers despite higher land and operating costs.
  • Cloud providers, by contrast, concentrate massive sites in a small number of lower-density regions, where electricity, land and construction are cheaper and economies of scale are easier to achieve.

Third-party data centers, in other words, follow demand. They locate in urban markets where firms in finance, healthcare and IT value low latency, secure storage, and compliance with regulatory standards.

Using county-level data, the researchers modeled how population density, industry mix and operating costs predict where new centers enter. Every U.S. metro with more than 700,000 residents had at least one third-party provider, while many mid-sized cities had none.

Map of data centers

This pattern challenges common assumptions. Third-party facilities are more distributed across urban America than prevailing narratives suggest.

“For industries where speed is everything, being too far from the physical infrastructure can meaningfully affect performance and risk,” Pan Fang says. “Proximity isn’t optional for sectors that can’t absorb delay.”

In critical operations, even slight pauses can have real consequences. For hospital systems, lag can affect performance and risk exposure. And in high-frequency trading, milliseconds can determine whether value is captured or lost in a transaction.

Why does distance matter for cloud data center costs?

For cloud providers, the picture looks very different. Their decisions follow a logic shaped primarily by cost and scale. Because cloud services can be delivered from afar, firms tend to build enormous sites in low-density regions where power is cheap and land is abundant.

These facilities can draw hundreds of megawatts of electricity and operate with far fewer employees than urban centers. “The cloud can serve almost anywhere,” Pan Fang says, “so location is a question of cost before geography.”

The study finds that cloud infrastructure clusters around network backbones and energy economics, not talent pools. Well-known hubs like Ashburn, Virginia — often called “Data Center Alley” — reflect this logic, having benefited from early network infrastructure that made them natural convergence points for digital traffic.

Local governments often try to lure data centers with tax incentives, betting they will create high-tech jobs. But the study suggests other factors matter more to cloud providers, including construction costs, network connectivity and access to reliable, affordable electricity.

When cloud centers need a local presence, distance can sometimes become a constraint. Providers often address this by working alongside third-party operators. “Third-party centers can complement cloud firms when they need a foothold closer to customers,” Pan Fang says.

That hybrid pattern — massive regional hubs complementing strategic colocation — may define the next phase of data center growth.

Looking ahead, shifts in remote work, climate resilience, energy prices and AI-driven computing may reshape where new facilities go. Some workloads may move closer to users, while others may consolidate into large rural hubs. Emerging data-sovereignty rules could also redirect investment beyond the United States.

“The cloud feels weightless,” Pan Fang says, “but it rests on real choices about land, power and proximity.”

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This article originally appeared on Rice Business Wisdom. Written by Scott Pett. Pan Fang and Greenstein (2025). “Where the Cloud Rests: The Economic Geography of Data Centers,” Strategy Science.

ERock scores Anthropic deal, sees order backlog soar to $1.7B

power deal

Two months after its $400 million IPO, Houston-based ERock (NYSE: EROC) has landed a power-generator deal with AI powerhouse Anthropic, owner of the Claude platform.

In its Q2 earnings report, ERock says it will provide equipment to Anthropic with a 470-megawatt capacity. ERock specializes in utility-grade, onsite microgrid power systems for data centers and other customers. The company previously did business as Enchanted Rock.

The Anthropic deal adds to ERock’s backlog of about $1.7 billion in orders—a figure representing a 1,000 percent year-over-year jump in backorders thanks in large part to the AI boom. ERock expects most of the backlog to convert to revenue by the end of 2027, said Ian Blakely, the company’s chief financial officer.

Bank of America analyst Ross Fowler says the Anthropic contract boosts confidence in ERock’s ability to secure other major deals, according to Traders Union. The Anthropic deal is ERock’s third major data center contract, with separate Anthropic deals for operations and maintenance services expected to follow, Fowler said.

CEO John Carrington says Anthropic’s order “reinforces the momentum” ERock is witnessing across its customer base.

“We are seeing a lot of interest in Texas. It seems to be the easiest place to get a site set up,” company President Corey Amthor said

In its Q2 earnings release—its first as a public company—ERock also reported:

  • Launching generator-assembly operations at its Hyperion equipment factory in Northwest Houston. The plant will expand ERock’s assembly capabilities to 1.2 gigawatts of capacity by the end of 2026.
  • Starting construction of a $473 million, 366-megawatt El Paso Electric natural-gas-powered plant to supply power for Meta Platforms’ $14 billion, 1,000-acre AI data center campus in El Paso. Meta is the parent company of the Facebook and Instagram social media companies.

“Meta gains access to an operational data center years earlier than may otherwise be possible, while El Paso Electric gains a flexible, low-cost, low-emissions grid asset that can support long-term system reliability,” Carrington said.

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