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Investors name 10 most-promising energy tech companies at Houston conference

startups to know

Here's what energy transition companies stood out to Rice Alliance's experts. Photo via Rice Alliance

At the 20th annual Energy Tech Venture Forum presented by Rice Alliance for technology and Entrepreneurship, 11 startups scored recognition from the event's investors who evaluated over 90 early-stage energy transition companies.

"The selection process was both exhilarating and challenging given the incredible ideas we've seen today," says Jason Sidhu, director of information services business engagement at TC Energy, who announced the top companies. "I want to extend my gratitude to every company that participate din this year's Energy Tech Venture Forum. Your commitment to solving energy problems and pursuing ambitions ideas is truly commendable."

In addition to the top 10 most-promising companies, the event's attendees decided the people's choice pick out of the 50 or so pitching companies. The winner of that recognition was Calgary, Alberta-based Galatea Technologies, which has created a tech platform to enhance workflows for operational, financial, and environmental performance.

The top companies, according to the Rice Alliance experts and investors, were:

  • Circular economy startup, Polystyvert. Based in Montreal, the company has created a unique dissolution recycling process that creates a material that can contribute to cutting carbon emissions by up to 90 percent.
  • United Kingdom-based Mirico provides a tracking technology to its customers to measure climate gases (like methane, carbon dioxide, nitrous oxide, and ammonia), across areas up to half a square mile and in all conditions.
  • Protein Evolution, from New Haven, Connecticut, taps into a combination of green chemistry and enzyme technology to break down synthetic polymers.
  • Another Canadian company, Ayrton Energy, based in Calgary, created a liquid organic H2 carrier (LOHC) storage technology presents an opportunity for large, scalable and efficient transport of H2 over long distances.
  • Also representing New Haven, Connecticut, Carbon Loop is on a mission to make carbon capture and conversion scalable through carbon dioxide electrolysis using a proprietary catalyst to convert captured carbon dioxide into methanol.d
  • Based in London, Mobilus Labs has designed a new way for frontline communication with an in-helmet hardware and software solution. software solution designed for the frontline workforce.
  • 1s1 Energy, based in California, is working on producing low-cost green hydrogen by creating new materials to unlock unprecedented electrolyzer efficiency, durability, and more.
  • From Skokie, Illinois, Numat is specializing in solutions within Metal-organic framework (MOF) research to enhance the process of separating the hazardous chemicals negatively impacting human health and the environment.
  • Mantel, headquartered in Cambridge, Massachusetts, created a molten borate technology to capture CO2 in a new and efficient way.
  • The lone Houston-based company, Mars Materials is working to produce acrylonitrile using CO2 and biomass to enable decarbonization applications in carbon fiber and wastewater treatment.

Ten companies from around the world were named as most promising. Photo courtesy of Rice

Next month, 96 startups will pitch at an annual event focused on the future of energy. Here's who will be there. Photo via rice.edu

Exclusive: Rice Alliance announces participants ahead of 20th annual energy symposium

where to be

Dozens of companies will be a part of an upcoming energy-focused conference at Rice University — from climate tech startups to must-see keynote speakers.

The 20th Annual Rice Alliance Energy Tech Venture Forum will take place on September 21 at Rice University’s Jones Graduate School of Business. Anyone who's interested in learning more about the major players in the low-carbon future in Houston and beyond should join the industry leaders, investors, and promising energy and cleantech startups in attendance.

This year's keynote speakers include Christina Karapataki, partner at Breakthrough Energy Ventures, the venture capital fund backed by Bill Gates; Scott Nyquist, vice chairman at Houston Energy Transition Initiative, founded by the Greater Houston Partnership; and Jeff Tillery, COO at Veriten.

Nearly 100 startups will also be pitching throughout the day, and at the end of the program, the most-promising companies — according to investors — will be revealed. See below for the 2023 selection of companies.

Presenting companies:

  • Element Resources
  • Eugenie AI
  • Flash H2 Synthesis from Waste Plastic at Zero Net Cost
  • Fluid Efficiency
  • Galatea Technologies
  • Heimdal
  • Impact Technology SystemsAS
  • INGU
  • Lithos
  • Luminescent
  • Mantel
  • Mars Materials
  • Microgrid Labs
  • Mirico
  • Mobilus Labs
  • Muon Vision
  • Nano Nuclear
  • NobleAI
  • Numat
  • Ourobio
  • Planckton Data Technologies
  • Polystyvert
  • Princeton NuEnergy
  • Protein Evolution
  • Qult Technologies
  • Sage Geosystems
  • Salient Predictions
  • Sawback Technologies
  • SHORELINE AI
  • Solidec
  • Spectral Sensor Solutions
  • Teren
  • Terradote
  • TexPower
  • Thiozen
  • Technology from the Lab of Dr. James Tour
  • Volexion
  • Xecta

CEA Demo Day:

  • Ayrton Energy
  • Carbix
  • CryoDesalination
  • Digital Carbon Bank
  • EarthEn
  • H Quest Vanguard
  • Highwood Emissions Management
  • Icarus RT
  • Khepra
  • Natrion
  • Oceanways
  • Relyion Energy
  • Triton Anchor
  • TROES

Office hours only:

  • 1s1 Energy
  • AKOS Energy
  • Aperta Systems
  • Atargis Energy
  • Ayas
  • C-Power
  • C-Quester
  • Carbon Loop
  • Deep Anchor Solutions
  • DG Matrix
  • Drishya AI Labs
  • Earthbound.ai
  • EarthBridge Energy
  • Enoverra
  • equipcast
  • ezNG Solutions
  • Feelit Technologies
  • FluxWorks
  • Forge
  • Horne Technologies
  • Imperium Technologies
  • LiCAP Technologies
  • Make My Day
  • Moblyze
  • MyPass Global
  • NovaSpark Energy
  • Octet Scientific
  • Perceptive Sensor Technologies
  • PetroBricks
  • Piersica
  • Poseidon Minerals
  • Predyct
  • RIvotto
  • Roboze
  • Talisea
  • ThermoLift Solutions
  • Trout Software
  • Tuebor Energy
  • Undesert Corporation
  • Viridos
  • Vroom Solar
  • Well Information Technologies
  • WellWorth
  • Zsense Systems
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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.”

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