VPP partners

NRG makes latest partnership to grow virtual power plant

NRG Energy has partnered with Sunrun to grow its virtual power plant and support the ERCOT grid. Photo via Pexels.

Houston-based NRG Energy recently announced a new long-term partnership with San Francisco-based Sunrun that aims to meet Texas’ surging energy demands and accelerate the adoption of home battery storage in Texas. The partnership also aligns with NRG’s goal of developing a 1-gigawatt virtual power plant by connecting thousands of decentralized energy sources by 2035.

Through the partnership, the companies will offer Texas residents home energy solutions that pair Sunrun’s solar-plus-storage systems with optimized rate plans and smart battery programming through Reliant, NRG’s retail electricity provider. As new customers enroll, their stored energy can be aggregated and dispatched to the ERCOT grid, according to a news release.

Additionally, Sunrun and NRG will work to create customer plans that aggregate and dispatch distributed power and provide electricity to Texas’ grid during peak periods.

“Texas is growing fast, and our electricity supply must keep pace,” Brad Bentley, executive vice president and president of NRG Consumer, said in the release. “By teaming up with Sunrun, we’re unlocking a new source of dispatchable, flexible energy while giving customers the opportunity to unlock value from their homes and contribute to a more resilient grid

Participating Reliant customers will be paid for sharing their stored solar energy through the partnership. Sunrun will be compensated for aggregating the stored capacity.

“This partnership demonstrates the scale and strength of Sunrun’s storage and solar distributed power plant assets,” Sunrun CEO Mary Powell added in the release. “We are delivering critical energy infrastructure that gives Texas families affordable, resilient power and builds a reliable, flexible power plant for the grid.”

In December, Reliant also teamed up with San Francisco tech company GoodLeap to bolster residential battery participation and accelerate the growth of NRG’s virtual power plant network in Texas.

In 2024, NRG partnered with California-based Renew Home to distribute hundreds of thousands of VPP-enabled smart thermostats by 2035 to help households manage and lower their energy costs. At the time, the company reported that its 1-gigawatt VPP would be able to provide energy to 200,000 homes during peak demand.

Trending News

A View From HETI

Hadi Ghasemi, a University of Houston professor, has uncovered a method to release heat from data centers and electronics at record performance. Photo courtesy UH.

A University of Houston professor has developed a new cooling method that can remove heat at least three times more effectively from AI data centers than current technologies.

Hadi Ghasemi, a distinguished professor of Mechanical & Aerospace Engineering at UH, published his findings in two articles in the International Journal of Heat and Mass Transfer. The findings solve a critical issue in the growing AI sector, according to UH.

High-powered AI data centers generate huge amounts of heat due to the GPU and operating systems they use with extreme power densities, which introduce complex thermal challenges. Traditionally, cooling methods, like microchannels, which use flow and spray cooling, have had limitations when exposed to extreme heat flux, according to UH.

Ghasemi’s research, however, found a more effective way to design thin-film evaporation structures to release heat from data centers and electronics at record performance.

Ghasem’s solution coupled topology optimization and AI modeling to determine the best shapes for thin film efficiency, ultimately landing on a branch-like structure—resembling a tree.

The model found that the “branches” needed to be about 50 percent solid and 50 percent empty space for optimum efficiency, and that they could sustain high heat fluxes with minimal thermal resistance.

“These structures could achieve high critical heat flux at much lower superheat compared to traditionally studied structures,” Ghasemi said in a news release. “The new structures can remove heat without having to get as hot as previous removal systems.

Ghasemi’s doctoral candidates, Amirmohammad Jahanbakhsh and Saber Badkoobeh Hezave, also worked on the project. The team believes their results show the impact of a physics-aware, AI design and can help ensure reliability, longevity and stability of AI data centers.

“Beyond achieving record performance, these new findings provide fundamental insight into the governing heat-transfer physics and establishes a rational pathway toward even higher thermal dissipation capacities,” Ghasemi added in the release

Trending News