Amperon has grown its global footprint. Photo via Getty Images

It's official. Houston-based, AI-powered electricity forecasting and analytics services company Amperon Holdings is live in Europe.

The expansion, which Co-Founder and CEO Sean Kelly previously told InnovationMap about, is official, the company announced this month. In addition to the expansion, Amperon announced Jon Ecker as general manager, Europe, and Kelsey Hultberg as executive vice president, communications, and chief of staff.

Now, European companies that buy and sell energy in the renewable energy producers, financial institutions, and utilities markets can leverage Amperon's platform of AI and machine learning technologies to access short- and long-term forecasts for their individual meters and generation assets.

“As a warmer-than-expected June ushers in a hot summer, and increasing uncertainty looms for the calmer fall months due to the influx of wind and solar generation, we are eager to assist our European customers in navigating the power market volatility caused by heat waves, extreme weather events, and shifts in power usage across the region,” Kelly says in a news release.

“Our cutting-edge AI models are enabling our North American customers to benefit from data and asset optimization, on-site solar to commercial load management, and backup generation and we’re excited to bring these tools to our European customers,” he continues.

Leading the new initiative for Amperon is Ecker , who previously served as an executive at energy market simulation software company Energy Exemplar and as CEO of real-time energy data provider Genscape, which is now owned by Wood Mackenzie. He also co-founded at Energy Velocity, an energy data and software company now owned by Hitachi Energy.

“Amperon is providing North American, and now European renewable energy markets, with the critical tools they need to optimize their clean energy operations and support grid reliability,” Ecker says in the release. “As Europe faces high temperatures and rising power demand this summer, power market participants will need precise energy forecasting, and Amperon is looking forward to delivering these critical tools to help participants succeed.”

Hultberg joins Amperon from Houston-based Sunnova Energy International, where she was executive vice president of corporate communications and sustainability.

Founded in 2018, Amperon closed its series B round at $20 million last fall. This year, the company Amperon announced that it replatformed its AI-powered energy analytics technology onto Microsoft Azure. The partnership with the tech giant allows Amperon's energy sector clients to use Microsoft's analytics stack with Amperon data.

"For Amperon, 2024 is the year of partnerships," Kelly shares on the Houston Innovators Podcast. "I think you'll see partnership announcements here in the next couple of quarters."



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This article originally ran on InnovationMap.

The collaboration will help Amperon's energy sector clients to "successfully navigate the evolving grid to improve reliability, optimize asset economics, and accelerate decarbonization." Photo via amperon.co

Houston energy tech company taps Microsoft tools to accelerate AI adoption for decarbonization

teaming up

Amperon has announced that it is replatforming its AI-powered energy analytics technology onto Microsoft Azure.

The collaboration will help Amperon's energy sector clients to "successfully navigate the evolving grid to improve reliability, optimize asset economics, and accelerate decarbonization," according to the company.

"This collaboration with Microsoft marks a significant step forward in our mission to modernize energy data and AI infrastructure. By replatforming our technology onto Microsoft Azure and enabling our customers to use Microsoft's analytics stack with our data, we aim to empower users to make informed decisions as they navigate the energy transition," Abe Stanway, CTO of Amperon, says in the news release.

Amperon, which announced last fall that it closed its series B round at $20 million, created a platform that provides AI modeling and forecasting methodologies critical to decision making as energy companies decarbonize amid the evolving energy transition. The combined technology and tools will only enhance the user experience with modern data capabilities, per the release

"We are pleased to collaborate with Amperon to enable our customers with a scalable data analytics platform for forecasting – one of the most essential ingredients to managing an increasingly complex energy grid. Together, we will drive energy solution advancements and contribute to a more sustainable future," adds Hanna Grene of Microsoft.

Energy tech platform Amperon raised $20 million. Photo via Amperon.co

Houston-based, AI-powered electricity analytics company raises $20M series B

funds secured

A Houston startup has raised $20 million in its latest round of funding in order to accelerate its energy analytics and grid decarbonization technology.

Amperon Holdings Inc. announced today that it closed its series B round at $20 million. Energize Capital led the round and the D. E. Shaw group, Veriten, and HSBC Asset Management, an existing investor, joined in on the round. Additionally, two of Amperon's early customers, Ørsted and another strategic utility partner, participated in the series B, which brought Amperon’s total funding to $30 million.

The fresh funding will support the company in evolving its platform that conducts electricity demand forecasting to a comprehensive data analytics solution. Amperon's solution has an opportunity to really impact the industry's "increasingly turbulent power grids worldwide" among climate change and rapid adoption of variable energy resources, like wind and solar, the company explains in a news release about its raise.

“The energy transition is creating unprecedented market volatility, and Amperon is uniquely positioned to help market participants better navigate the transitioning grid – both in the U.S. and as we expand globally,” Sean Kelly, CEO and co-founder of Amperon, says in the release. “We've already established ourselves as the premier provider of electricity demand forecasting software. With this funding, we are poised to leverage our cutting-edge AI models to enable customers to unlock more value from data and asset optimization, spanning from on-site solar to commercial load management with backup generation and microgrid deployment.”

With the round, Energize Capital Partner Tyler Lancaster joins the Amperon board of directors.

“Today’s electricity grid is facing uniquely modern challenges as we work to rapidly transform our energy assets and decarbonize our economy,” he says in the release. “To facilitate the energy transition – a multitrillion-dollar market opportunity — we need more software tools custom-built to handle the complexities of our evolving energy markets.

"Amperon’s AI-powered analytics platform is exactly that, providing the accuracy and sophistication necessary for energy players across the value chain to manage their energy use and streamline our collective pathway to net-zero," he continues. "After getting to know Sean and the Amperon team since inception, Energize is thrilled to officially partner with them as a lead investor in this funding.”

In the past two years, Amperon reports that it grew revenue by five times, as well as quadrupled its team. The company was founded in 2017 and raised its $7 million series A last year.

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4 Houston researchers awarded projects in DOE's Genesis Mission

federal funding

The U.S. Department of Energy has named the nearly 300 projects selected under the Trump Administration's Genesis Mission, which aims to address some of the largest science and technology challenges in the country. The group features four projects from Houston universities and companies.

The initiative aims to unite government, industry, academia and philanthropy to lead to breakthroughs in energy, scientific discovery and national security, according to a release.

The selected projects feature 87 led by DOE and National Nuclear Security Administration (NNSA) National Laboratories, 168 led by universities, 19 led by companies and 4 led by nonprofit organizations—totalling 342 participating institutions.

“America has no shortage of bold ideas or talented scientists, and the response to the Genesis Mission proves that,” U.S. Secretary of Energy Chris Wright said in a news release. “The 278 projects selected today represent the very best of our nation’s scientific enterprise. The remarkable number of high-quality proposals we received demonstrates that America’s innovation pipeline is strong, and it points to even greater opportunities for future investment and continued expansion of the Genesis Mission portfolio.”

Twelve Texas-based projects were selected among the 278. The Houston projects and their researchers include:

Caroline Ajo-Franklin

Ajo-Franklin recieved a Phase I grant for her project "Predictive AI to Map Point Mutation Effects on Protein Function: Measurement and Biosynthesis of Isoprenoids." Ajo-Franklin is a professor of biosciences at Rice University, a CPRIT Scholar in Cancer Research and member of the Rice Synthetic Biology Institute. The project aims to accelerate the engineering of microbes that can produce isoprenoids, which are natural compounds that could replace petroleum-derived fuels, solvents and materials.

“This project creates a continuous feedback loop in which AI guides experiments and each experiment generates more detailed data to better hone the AI model,” Ajo-Franklin said in a news release. “In addition, it demonstrates the extraordinary star power Rice has recruited in protein engineering and synthetic biology.”

Anastasios Kyrillidis

Kyrillidis recived a Phase I grant for his project "Cracking the VQA Optimization Bottleneck: AI Methods for Quantum Chemistry and Materials." Kyrillidis is the Noah Harding Associate Professor of Computer Science at Rice and a member of the Ken Kennedy Institute. The project aims to develop AI tools to resolve bottlenecks in quantum computing for chemistry and materials research.

“Our goal is to replace fragile, hand-tuned optimization methods with intelligent systems that can learn from quantum computations while still operating within frameworks that provide strong mathematical guarantees,” Kyrillidis added in the release.

Myoungkyu Lee

Lee received a nearly $750,000 Phase I grant for his project "Physics-Informed AI Surrogates for Turbulent Forced Convection in Energy System." Lee is an assistant professor of mechanical aerospace engineering at the University of Houston. Lee will collaborate with researchers from Lawrence Livermore National Laboratory and University of Pennsylvania on the project and develop artificial intelligence to accelerate the design of materials for advanced nuclear fission and fusion reactors.

“The goal is to develop a tool that runs much faster than today’s most detailed simulations while keeping errors small,” Lee said in a news release. “If successful, the approach could support better heat-transfer predictions for molten-salt reactor design and provide a starting point for studying heat removal in fusion blankets. This is one contribution among many toward reliable, carbon-free energy.”

Amit Padhi

Padhi recieved a grant for his project "Probabilistic Inference of Subsurface Fracture Connectivity for Stimulation Control with Physics-Informed AI." Padhi is a scientific advisor for Halliburton.

The DOE first called for applications for the Genesis Mission in March. At the time, the DOE shared that it would grant approximately $293 million to the selected teams via Phase I awards, ranging from $500,000 to $750,000 for nine-month project periods, and Phase II awards, for $6 million to $15 million over a three-year project period.

Since then, however, the initiative has grown with 15 federal agencies now granting research awards and funding opportunities under the Genesis umbrella. The White House announced this week that it had secured more than $5 billion in federal commitments to expand the initiative.

SLB teams with Liberty Energy on modular power for AI data centers

ai alliance

Houston-headquartered SLB and Denver-based Liberty Energy Inc. announced a strategic agreement this month to support the rapid growth of new data center capacity.

Under the agreement, SLB will supply modular data center infrastructure and oversee large-scale execution, while Liberty will provide modular power generation systems and behind-the-meter power management technology for developers looking to add capacity. According to Reuters, the power will come from natural gas generation.

“The bottleneck in AI infrastructure is no longer just compute. It is the ability to deliver infrastructure and power on the timelines the market now demands,” Gavin Rennick, president of SLB’s New Energy and Industrial business, said in a news release. “By bringing together complementary infrastructure and power capabilities, we will help developers accelerate deployment of new data center capacity.”

The companies seek to specifically offer the modular technologies in areas without traditional grid connections or where grid capacity is limited.

They also aim to improve the "efficiency, flexibility and environmental performance of future data center energy systems," potentially through solutions like hybrid power systems and digital energy management, according to the news release.

Goldman Sachs estimates that U.S. data center capacity will more than double from 31 gigawatts in 2025 to 66 gigawatts in 2027. Other reports predict that Houston and Texas will be home to a significant portion of the data center boom, with capacity in the city and the state also expected to double in the next few years.

“The scale and complexity of AI energy infrastructure is fundamentally changing how power systems are built and deployed,” Ron Gusek, CEO of Liberty Energy, added in the release. “Liberty’s comprehensive power service platform is engineered to meet this transition, as customers increasingly prioritize tailored, integrated solutions. Building on our long-standing relationship with SLB, we are excited to bring power solutions that address immediate capacity constraints while supporting the next generation of energy systems.”

SLB sold its onshore hydraulic fracturing business in the United States and Canada to Liberty Energy in December 2020 in exchange for a 37 percent equity interest in the company.

New Rice study details how carbon capture could reduce AI data center emissions

by the numbers

A new study out of Rice University points to carbon capture and storage methods as pivotal solutions to addressing emissions from AI-driven data centers.

The study was authored by Hon Chung Lau, an adjunct professor in the Department of Chemical and Biomolecular Engineering at Rice University and founder of Low Carbon Energies LLC, and Steve C. Tsai, an energy transition consultant at Low Carbon Energies LLC, and published in the journal Energy & Fuels.

According to the study, U.S. data center power capacity could more than quadruple in five years, growing from 40 gigawatts in 2025 to 169 gigawatts by 2030. Without proper regulation of emissions, the report estimates that carbon dioxide produced by fossil-fuel power plants supplying electricity to data centers could grow at the same scale, increasing from 90 million metric tons to more than 404 million metric tons over the same time period.

The researchers analyzed publicly available data on announced U.S. data centers, which included energy sources, locations, and projected power capacity before estimating data center-related carbon emissions based on each state’s electricity mix. From there, they examined whether those emissions could be captured and stored underground in saline aquifers.

The team estimates that 34 states have enough saline aquifer storage capacity to store more than 100 years of projected data center-related carbon dioxide emissions beyond 2030. Aquifers could store an estimated 59 million metric tons of data center-related carbon dioxide, or about 66 percent of the sector’s emissions in 2025. However, that calculation could grow to 299 million metric tons, or about 74 percent of projected data center-related emissions by 2030.

The researchers found that more than 90 percent of data center-related carbon dioxide emissions could potentially be mitigated through carbon capture and storage when out-of-state storage options are included, even though they note that carbon capture isn’t the only solution.

“It does show that the geology exists to make a meaningful impact, especially in states where data center growth is strongest,” Lau said in a news release.

Rapid growth in states including Texas, Virginia, Pennsylvania, Ohio, Arizona, Colorado, Utah and Illinois was considered in the study. According to the findings, Texas would need to add 25 gigawatts of power capacity by 2030 to meet projected data center demand, as data centers require reliable electricity 24/7.

“Data centers are becoming one of the defining energy challenges of the AI era,” Lau added in the news release. “The question is not only whether we can build enough computing infrastructure, but whether we can power it in a way that is reliable, affordable and compatible with decarbonization goals.”