The Woodlands-based Lancium has licensed patents to ERCOT that help increase or decrease power consumption during peak periods or emergencies. Photo courtesy of ERCOT

Lancium, a company based in The Woodlands that specializes in infrastructure for connecting large-scale data centers to power grids, is licensing a portfolio of patents to the Electric Reliability Council of Texas (ERCOT) at no cost.

In a news release, Lancium says the intellectual property agreement “ensures ERCOT can sublicense these patents freely, thereby expanding market participation opportunities without risk of patent infringement disputes.”

“This agreement exemplifies Lancium’s dedication to supporting grid stability and innovation across the ERCOT region,” Michael McNamara, CEO of Lancium, said in a news release. “While these patents represent significant technological advancements, we believe that enabling ERCOT and its market participants to operate freely is more valuable for the long-term reliability and resilience of the Texas grid.”

The licensed patents encompass Lancium technologies that support load resources in ERCOT’s market, which covers about 90 percent of Texas. Specifically, the patents deal with controllable load resources. A controlled load resource allows ERCOT and other grids to increase or decrease power consumption during peak periods or emergencies.

ERCOT predicts power demand in Texas will nearly double by 2030, “in part due to more requests to plug into the grid from large users like data centers, crypto mining facilities, hydrogen production plants, and oil and gas companies,” The Texas Tribune reported.

CenterPoint Energy aims to complete its suite of grid resiliency projects before the 2025 hurricane season. Photo via centerpointenergy.com

CenterPoint reports progress on grid improvements ahead of 2025 hurricane season

grid resilience

As part of an ongoing process to make Houston better prepared for climate disasters, CenterPoint Energy announced its latest progress update on the second phase of the Greater Houston Resiliency Initiative (GHRI).

CenterPoint reported that it has completed 70 percent of its resiliency work and all GHRI-related actions are expected to be complete before the official start of the 2025 hurricane season.

"Our entire CenterPoint Houston Electric team is focused on completing this historic suite of grid resiliency actions before the start of hurricane season,” Darin Carroll, Senior Vice President of CenterPoint's Electric Business, said in a news release. “That is our goal, and we will achieve it. To date, we have made significant progress as part of this historic effort.”

CenterPoint’s resiliency solutions include clearing higher-risk vegetation across thousands of miles of power lines, adding thousands more automation devices capable of self-healing, installing thousands of storm-resistant poles, and undergrounding hundreds of miles of power lines.

CenterPoint's GHRI efforts, which entered a second phase in September 2024, aim to improve overall grid resiliency and reliability and are estimated to reduce outages for customers by more than 125 million minutes annually, according to the company. It has undergrounded nearly 350 miles of power lines, about 85 percent of the way toward its target of 400 miles, which will help improve resiliency and reduce the risk of outages. CenterPoint also aims to install the first of 100 new local weather monitoring stations by June 1.

In March, CenterPoint cleared 655 miles of high-risk vegetation near power lines, installed 1,215 automated reliability devices capable of self-healing, and added an additional 3,300 storm-resilient poles.

In April, CenterPoint will begin building a network of 100 new weather monitoring stations, which will provide 24/7 weather monitoring and storm response preparation.

“We will continue to work every day to complete these critical improvements as part of our company's goal of building the most resilient coastal grid in the country,” Carroll added in the release.

Georg Rute ,CEO of Gridraven, discusses the potential of AI and DLR. Photo via Getty Images

Energy expert: Unlocking the potential of the Texas grid with AI & DLR

guest column

From bitter cold and flash flooding to wildfire threats, Texas is no stranger to extreme weather, bringing up concerns about the reliability of its grid. Since the winter freeze of 2021, the state’s leaders and lawmakers have more urgently wrestled with how to strengthen the resilience of the grid while also supporting immense load growth.

As Maeve Allsup at Latitude Media pointed out, many of today’s most pressing energy trends are converging in Texas. In fact, a recent ERCOT report estimates that power demand will nearly double by 2030. This spike is a result of lots of large industries, including AI data centers, looking for power. To meet this growing demand, Texas has abundant natural gas, solar and wind resources, making it a focal point for the future of energy.

Several new initiatives are underway to modernize the grid, but the problem is that they take a long time to complete. While building new power generation facilities and transmission lines is necessary, these processes can take 10-plus years to finish. None of these approaches enables both significantly expanded power and the transmission capacity needed to deliver it in the near future.

Beyond “curtailment-enabled headroom”

A study released by Duke University highlighted the “extensive untapped potential” in U.S. power plants for powering up to 100 gigawatts of large loads “while mitigating the need for costly system upgrades.” In a nutshell: There’s enough generating capacity to meet peak demand, so it’s possible to add new loads as long as they’re not adding to the peak. New data centers must connect flexibly with limited on-site generation or storage to cover those few peak hours. This is what the authors mean by “load flexibility” and “curtailment-enabled headroom.”

As I shared with POWER Magazine, while power plants do have significant untapped capacity, the transmission grid might not. The study doesn’t address transmission constraints that can limit power delivery where it’s needed. Congestion is a real problem already without the extra load and could easily wipe out a majority of that additional capacity.

To illustrate this point, think about where you would build a large data center. Next to a nuclear plant? A nuclear plant will already operate flat out and will not have any extra capacity. The “headroom” is available on average in the whole system, not at any single power plant. A peaking gas plant might indeed be idle most of the time, but not 99.5% of the time as highlighted by the Duke authors as the threshold. Your data center would need to take the extra capacity from a number of plants, which may be hundreds of miles apart. The transmission grid might not be able to cope with it.

However, there is also additional headroom or untapped potential in the transmission grid itself that has not been used so far. Grid operators have not been able to maximize their grids because the technology has not existed to do so.

The problem with existing grid management and static line ratings

Traditionally, power lines are given a static rating throughout the year, which is calculated by assuming the worst possible cooling conditions of a hot summer day with no wind. This method leads to conservative capacity estimates and does not account for environmental factors that can impact how much power can actually flow through a line.

Take the wind-cooling effect, for example. Wind cools down power lines and can significantly increase the capacity of the grid. Even a slight wind blowing around four miles per hour can increase transmission line capacity by 30 percent through cooling.

That’s why dynamic line ratings (DLR) are such a useful tool for grid operators. DLR enables the assessment of individual spans of transmission lines to determine how much capacity they can carry under current conditions. On average, DLR increases capacity by a third, helping utilities sell more power while bringing down energy prices for consumers.

However, DLR is not yet widely used. The core problem is that weather models are not accurate enough for grid operators. Wind is very dependent on the detailed landscape, such as forests or hills, surrounding the power line. A typical weather forecast will tell you the average conditions in the 10 square miles around you, not the wind speed in the forest where the power line is. Without accurate wind data at every section, even a small portion of the line risks overheating unless the line is managed conservatively.

DLR solutions have been forced to rely on sensors installed on transmission lines to collect real-time weather measurements, which are then used to estimate line ratings. However, installing and maintaining hundreds of thousands of sensors is extremely time-consuming, if not practically infeasible.

The Elering case study

Last year, my company, Gridraven, tested our machine learning-powered DLR system, which uses a AI-enabled weather model, on 3,100 miles of 110-kilovolt and 330-kilovolt lines operated by Elering, Estonia’s transmission system operator, predicting ratings in 15,000 individual locations. The power lines run through forests and hills, where conventional forecasting systems cannot predict conditions with precision.

From September to November 2024, our average wind forecast accuracy saw a 60 percent improvement over existing technology, resulting in a 40 percent capacity increase compared to the traditional seasonal rating. These results were further validated against actual measurements on transmission towers.

This pilot not only demonstrated the power of AI solutions against traditional DLR systems but also their reliability in challenging conditions and terrain.

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Georg Rute is the CEO of Gridraven, a software provider for Dynamic Line Ratings based on precision weather forecasting available globally. Prior to Gridraven, Rute founded Sympower, a virtual power plant, and was the head of smart grid development at Elering, Estonia's Transmission System Operator. Rute will be onsite at CERAWeek in Houston, March 10-14.

The views expressed herein are Rute's own. A version of this article originally appeared on LinkedIn.

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Enbridge's new Texas solar project to power Meta data centers

solar deal

Construction is underway on a new 600-megawatt solar project in Texas that will supply renewable energy to Meta Platforms Inc., the owner of Facebook, Instagram and other tech platforms.

Calgary-based Enbridge Inc., whose gas transmission and midstream operations are based in Houston, announced that Meta has agreed to purchase 100 percent of the power generated by its new $900 million solar project known as Clear Fork.

The clean energy developed at Clear Fork will be used to support Meta’s data center operations, according to a news release from Enbridge. Meta has had net-zero emissions across its operational portfolio since 2020, according to its 2024 environmental report. The company matches 100 percent of its data center usage with renewable energy.

"We are thrilled to partner with Enbridge to bring new renewable energy to Texas and help support our operations with 100% clean energy, " Urvi Parekh, Head of Global Energy at Meta, said in a news release.

The Clear Fork project is expected to be operational by the summer of 2027. It will join Enbridge’s first solar power project in Texas, Orange Grove, which was activated earlier this year, as well as the company’s Sequoia solar project, which is scheduled to go online in early 2026.

"Clear Fork demonstrates the growing demand for renewable power across North America from blue-chip companies who are involved in technology and data center operations," Matthew Akman, executive vice president of corporate strategy and president of power at Enbridge, said in the news release. "Enbridge continues to advance its world-class renewables development portfolio using our financial strength, supply chain reach and construction expertise under a low-risk commercial model that delivers strong competitive returns."

Energy experts: Executive order enhances federal permitting for AI data centers

Guest column

In an effort to accelerate the development of artificial intelligence, President Trump signed an executive order (EO) aimed at expediting the federal permitting process for data centers, particularly those supporting AI inference, training, simulation, or synthetic data generation.

Following the White House’s issuance of a broader AI Action Plan, the EO seeks to streamline regulatory burdens and utilize federal resources to encourage the development of data centers supporting AI, as well as the physical components and energy infrastructure needed to construct and provide power to these data centers.

Qualifying Projects

The EO directs several federal agencies to take actions to incentivize the development of “Qualifying Projects,” which the EO defines as “Data Centers” and “Covered Component Projects.” The EO defines “Data Center Projects” as facilities that require over 100 megawatts (MW) of new load dedicated to AI inference, training, simulation, or synthetic data generation. The EO defines Covered Component Projects as materials, products, and infrastructure that are required to build Data Center Projects or upon which Data Center Projects depend, including energy infrastructure projects like transmission lines and substations, dispatchable base load energy sources like natural gas, geothermal, and nuclear used principally to power Data Center Projects, and semiconductors and related equipment. For eligibility as a Qualifying Project, the project sponsor must commit at least $500 million in capital expenditures. Data Center Projects and Covered Component Projects may also meet the definition of Qualifying Project if they protect national security or are otherwise designated as Qualifying Projects by the Secretary of Defense, Secretary of the Interior, Secretary of Commerce, or Secretary of Energy.

Streamlining Permitting of Qualifying Projects

The EO outlines the following strategies aimed at improving the efficiency of environmental reviews and permitting for Qualifying Projects:

  • NEPA Applicability: The Council on Environmental Quality (CEQ), in coordination with relevant agencies, is directed to utilize existing and new categorical exclusions under the National Environmental Policy Act (NEPA) to cover actions related to Qualifying Projects, which “normally do not have a significant effect on the human environment.” The EO states that where federal financial assistance represents less than 50 percent of total project costs of a Qualifying Project, the Project shall be presumed not to be a “major Federal action” requiring NEPA review.
  • FAST-41: The Executive Director of the Federal Permitting Improvement Steering Council (FPISC) is empowered to designate a Qualifying Project as a “transparency project” under the Fixing America’s Surface Transportation Act (FAST-41) and expedite its transition from a transparency project to a “covered project” under FAST-41. FPISC is directed to consider all available options to designate a Qualifying Project as a FAST-41 covered project, even where the Qualifying Project may not be eligible.
  • EPA Permitting: The US Environmental Protection Agency (EPA) is directed to modify applicable regulations under several environmental protection statutes impacting the development of Qualifying Projects on federal and non-federal lands. EPA is also directed to develop guidance to expedite environmental reviews for identification and reuse of Brownfield and Superfund Sites suitable for Qualifying Projects. Importantly, state environmental permitting agencies are not subject to the EO.
  • Corps Permitting: The US Army Corps of Engineers is directed to review the nationwide permits issued under Section 404 of the Clean Water Act and Section 10 of the Rivers and Harbors Act of 1899 to determine whether an activity-specific nationwide permit is needed to facilitate the efficient permitting of activities related to Qualifying Projects.
  • Interior Permitting: The US Department of the Interior is directed to consult with the US Department of Commerce regarding the streamlining of Endangered Species Act consultations for Qualifying Projects, and to work with the US Department of Energy to identify federal lands that may be available for use by Qualifying Projects and offer appropriate authorizations to project sponsors.

Federal Incentives for Qualifying Projects

The EO also directs the US Secretary of Commerce to “launch an initiative to provide financial support for Qualifying Projects,” which may include loans, grants, tax incentives, and offtake agreements. The EO further directs all “relevant agencies” to identify and submit to the White House Office of Office of Science and Technology Policy any relevant existing financial support that can be used to assist Qualifying Projects, consistent with the protection of national security.

The EO reinforces the Trump administration’s focus on AI and creates new opportunities for both AI data center developers and energy infrastructure companies providing power or project components to these data centers. Proactive engagement with relevant agencies will be crucial for capitalizing on the opportunities created by this EO and the broader AI Action Plan. By leveraging these financial and environmental incentives, project developers may be able to shorten permitting timelines, reduce costs, and take advantage of federal financial support.

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Jason B. Hutt, Taylor M. Stuart and Anouk Nouet are lawyers at Bracewell. Hutt is chair of the firm’s environment, lands and resources department. Stuart counsels energy, infrastructure, and industrial clients on matters involving environmental and natural resources law and policy. Nouet advises clients on litigation, enforcement and project development matters with a focus on complex environmental and natural resources law and policy.

Houston clean-chemicals startup Solidec raises $2M to scale tech

fresh funding

Solidec, a Houston startup that specializes in manufacturing “clean” chemicals, has raised more than $2 million in pre-seed funding.

Houston-based New Climate Ventures led the oversubscribed pre-seed round, with participation from Plug and Play Ventures, Ecosphere Ventures, the Collaborative Fund, Safar Partners, Echo River Capital and Semilla Climate Capital, among other investors.

Solidec’s approach to chemical manufacturing replaces centralized infrastructure with modular on-site production using only air, water and electricity. Solidec’s platform is powered by modular reactors capable of producing widely used chemicals such as hydrogen peroxide, formic acid, acetic acid and ethylene.

“We’ve known the Solidec team for almost two years and have developed a high degree of conviction in the team, their technology, and their go-to-market strategy,” Eric Rubenstein, managing partner at New Climate Ventures, said in a news release. “We’re particularly excited about Solidec’s ability to produce many different widely used chemicals. It gives them critical flexibility to expand and serve a broad customer base.”

Solidec is initially focusing on hydrogen peroxide.

“Traditionally, hydrogen peroxide is produced in centralized, energy-intensive facilities using carbon-intensive inputs, then transported long distances, resulting in a significant carbon footprint,” Ryan DuChanois, co-founder and CEO of Solidec, said in the release. “Solidec’s modular reactor produces clean chemicals like hydrogen peroxide on-site, in fewer steps, and with less energy, slashing emissions, supply-chain risk, and cost.”

Solidec said its technology “is poised to disrupt the multibillion-dollar commodity and chemical industries.” The company has already signed up several customers.

The startup, a Rice University spinout, is a graduate of the Chevron Catalyst Program and a member of Greentown Labs Houston. It was cofounded by DuChanois, Haotian Wang and Yang Xia.