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CenterPoint’s Greater Houston Resiliency Initiative makes advancements on progress

The GHRI Phase Two will lead to more than 125 million fewer outage minutes annually, according to CenterPoint. Photo via centerpoint.com

CenterPoint Energy has released the first of its public progress updates on the actions being taken throughout the Greater Houston 12-county area, which is part of Phase Two of its Greater Houston Resiliency Initiative.

The GHRI Phase Two will lead to more than 125 million fewer outage minutes annually, according to CenterPoint.

According to CenterPoint, they have installed around 4,600 storm-resilient poles, installed more than 100 miles of power lines underground, cleared more than 800 miles of hazardous vegetation to improve reliability, and installed more self-healing automation all during the first two months of the program in preparation for the 2025 hurricane season.

"This summer, we accomplished a significant level of increased system hardening in the first phase of the Greater Houston Resilience Initiative,” Darin Carroll, senior vice president of CenterPoint Energy's Electric Business, says in a news release.

”Since then, as we have been fully engaged in delivering the additional set of actions in our second phase of GHRI, we continue to make significant progress as we work toward our ultimate goal of becoming the most resilient coastal grid in the country,” he continues.

The GHRI is a series of actions to “ strengthen resilience, enable a self-healing grid and reduce the duration and impact of power outages” according to a news release. The following progress through early November include:

The second phase of GHRI will run through May 31, 2025. During this time, CenterPoint teams will be installing 4,500 automated reliability devices to minimize sustained interruptions during major storms, reduce restoration times, and establish a network of 100 new weather monitoring stations. CenterPoint plans to complete each of these actions before the start of the next hurricane season.

“Now, and in the months to come, we will remain laser-focused on completing these critical resiliency actions and building the more reliable and more resilient energy system our customers expect and deserve," Carroll adds.

CenterPoint also announced that it has completed all 42 of the critical actions the company committed to taking in the aftermath of Hurricane Beryl. Some of the actions were trimming or removing higher-risk vegetation from more than 2,000 power line miles, installing more than 1,100 more storm-resilient poles, installing over 300 automated devices to reduce sustained outages, launching a new, cloud-based outage tracker, improving CenterPoint's Power Alert Service, hosting listening sessions across the service area and using feedback.

In October, CenterPoint Energy announced an agreement with Artificial Intelligence-powered infrastructure modeling platform Neara for engineering-grade simulations and analytics, and to deploy Neara’s AI capabilities across CenterPoint’s Greater Houston service area.

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A View From HETI

UH researchers have developed a thin film that could allow AI chips to run cooler and faster. Photo courtesy University of Houston.

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.

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This article originally appeared on our sister site, InnovationMap.

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