Houston researchers earn $3.3M in DOE funding to develop safer underground power line installation

going under

Researchers have secured $3.3 million in funding to develop an AI-powered subsurface sensing system aimed at improving the safety and efficiency of underground power line installation. Photo via Getty Images

Researchers from the University of Houston — along with a Hawaiian company — have received $3.3 million in funding to explore artificial intelligence-backed subsurface sensing system for safe and efficient underground power line installation.

Houston's power lines are above ground, but studies show underground power is more reliable. Installing underground power lines is costly and disruptive, but the U.S. Department of Energy, in an effort to find a solution, has put $34 million into its new GOPHURRS program, which stands for Grid Overhaul with Proactive, High-speed Undergrounding for Reliability, Resilience, and Security. The funding has been distributed across 12 projects in 11 states.

“Modernizing our nation’s power grid is essential to building a clean energy future that lowers energy costs for working Americans and strengthens our national security,” U.S. Secretary of Energy Jennifer M. Granholm says in a DOE press release.

UH and Hawaii-based Oceanit are behind one of the funded projects, entitled “Artificial Intelligence and Unmanned Aerial Vehicle Real-Time Advanced Look-Ahead Subsurface Sensor.”

The researchers are looking a developing a subsurface sensing system for underground power line installation, potentially using machine learning, electromagnetic resistivity well logging, and drone technology to predict and sense obstacles to installation.

Jiefu Chen, associate professor of electrical and computer engineering at UH, is a key collaborator on the project, focused on electromagnetic antennas installed on UAV and HDD drilling string. He's working with Yueqin Huang, assistant professor of information science technology, who leads the geophysical signal processing and Xuqing Wu, associate professor of computer information systems, responsible for integrating machine learning.

“Advanced subsurface sensing and characterization technologies are essential for the undergrounding of power lines,” says Chen in the release. “This initiative can enhance the grid's resilience against natural hazards such as wildfires and hurricanes.”

“If proven successful, our proposed look-ahead subsurface sensing system could significantly reduce the costs of horizontal directional drilling for installing underground utilities,” Chen continues. “Promoting HDD offers environmental advantages over traditional trenching methods and enhances the power grid’s resilience.”

University of Houston professor Xiaonan Shan and the rest of his research team are celebrating fresh funding from a federal grant. Photo via UH.edu

Houston scientists land $1M NSF funding for AI-powered clean energy project

A team of scientists from the University of Houston, in collaboration with Howard University in Washington D.C., has received a $1 million award from the National Science Foundation for a project that aims to automate the discovery of new clean-energy catalysts.

The project, dubbed "Multidisciplinary High-Performance Computing and Artificial Intelligence Enabled Catalyst Design for Micro-Plasma Technologies in Clean Energy Transition," aims to use machine learning and AI to improve the efficiency of catalysts in hydrogen generation, carbon capture and energy storage, according to UH.

“This research directly contributes to these global challenges,” Jiefu Chen, the principal investigator of the project and associate professor of electrical and computer engineering, said in a statement. “This interdisciplinary effort ensures comprehensive and innovative solutions to complex problems.”

Chen is joined by Lars Grabow, professor of chemical and biomolecular engineering; Xiaonan Shan, associate professor of electrical and computing engineering; and Xuquing Wu, associate professor of information science technology. Su Yan, an associate professor of electrical engineering and computer science at Howard University, is collaborating on the project.

The University of Houston team: Xiaonan Shan, associate professor electrical and computing engineering, Jiefu Chen, associate professor of electrical and computer engineering, Lars Grabow, professor of chemical and biomolecular engineering, and Xuquing Wu, associate professor of information science technology. Photo via UH.edu

The team will create a robotic synthesis and testing facility that will automate the experimental testing and verification process of the catalyst design process, which traditionally is slow-going. It will implement AI and advanced, unsupervised machine learning techniques, and have a special focus on plasma reactions.

The project has four main focuses, according to UH.

Using machine learning to discover materials for plasma-assisted catalytic reactions
Developing a model to simulate complex interactions to better understand microwave-plasma-assisted heating
Designing catalysts supports for efficient microwave-assisted reactions
Developing a bench scale reactor to demonstrate the efficiency of the catalysts support system

Additionally, the team will put the funding toward the development of a multidisciplinary research and education program that will train students on using machine learning for topics like computational catalysis, applied electromagnetics and material synthesis. The team is also looking to partner with industry on related projects.

“This project will help create a knowledgeable and skilled workforce capable of addressing critical challenges in the clean energy transition,” Grabow added in a statement. “Moreover, this interdisciplinary project is going to be transformative in that it advances insights and knowledge that will lead to tangible economic impact in the not-too-far future.”

This spring, UH launched a new micro-credential course focused on other applications for AI and robotics in the energy industry.

Around the same time, Microsoft's famous renowned co-founder Bill Gates spoke at CERAWeek to a standing-room-only crowd on the future of the industry. Also founder of Breakthrough Energy, Gates addressed the topic of AI.

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Houston startup raises $6M to grow AI platform for solar, battery contractors

fresh funding

Houston tech startup Artemis has raised $6 million from 10 investors. The company offers an AI-supported platform that enables solar, battery storage and home improvement contractors to design, sell and finance energy projects.

Long Journey and Copec WIND Ventures co-led the round, with participation from angel investor Scott Banister, Coalition Operators, FJ Labs, Ludlow Ventures, Palm Tree Crew, Plug and Play Ventures, Shrug Capital and Tribeca Ventures.

To help propel growth, the company secured $10 million in financing last year (under its previous name, Monalee) from venture debt and growth credit provider Applied Real Intelligence. As Monalee, the company raised $16 million in venture capital.

The company was founded in 2022 as an installer of solar and battery storage projects. Five years later, the startup used in-house technology to establish its standalone software platform as it began pivoting away from installation. The company recently adopted the Artemis brand name.

Artemis says its platform saves time and money for installers of residential solar, battery storage, and energy projects. The platform combines an AI-powered design tool with embedded financing capabilities and compliance automation to create a single operating system.

The company says its customers report as much as a 72 percent reduction in software costs and up to 98 percent faster turnaround times. Thus far, more than 100 installers are using Artemis’ technology.

“Installers shouldn’t need six tools and a week of back-and-forth to sell a project," Walid Halty, co-founder and CEO of Artemis, said in a press release. “This funding gives us the fuel to scale our mission to compress design, financing, and compliance into a single flow so every installer can operate like a modern energy company. We’re not just speeding up deals, we're modernizing how distributed energy gets built.”

The Artemis platform, now available in the U.S. and soon to be launched in Latin America, caters to home improvement contractors, solar companies, lenders, and utilities.

“Artemis is transforming the complexity of distributed energy into elegant simplicity," added Arielle Zuckerberg, general partner at Long Journey.

Houston researchers propose model to scale e-waste recycling

critical research

The “missing link” in critical minerals may have been in our junk drawers all along, according to new research from the University of Houston.

Jian Shi, an associate professor in the UH Cullen College of Engineering, and his team have unveiled a new supply chain model that aims to make e-waste economically viable and could help make large-scale recycling possible.

Shi, along with professor Kailai Wang and graduate researcher Chuyue Wang, published the work in a recent issue of Nature. Their study outlines how gold, lithium and cobalt from discarded electronics can be kept circulating in the U.S. through the process of “urban mining.” It was supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) through the Vehicle Technologies Office.

The team’s research found that e-waste is the fastest-growing solid waste stream in the world. When waste from smartphones or tablets is left unmanaged, the devices can leak hazardous waste and pose significant fire risks due to aging batteries. Additionally, when they are shipped off to foreign landfills, the U.S. loses the potential to recycle or reuse the critical minerals left inside.

“A lot of people have iPads or old iPhones sitting in their drawers right now, and that’s a waste of a critical resource,” Shi said in a news release. “Urban mining allows us to extract the same high-value materials found in traditional mines without the environmental destruction. More importantly, it helps secure our domestic supply chain for the technologies of tomorrow.”

According to UH, recycling e-waste has not succeeded in the U.S. due to a fragmented recycling system, in which manufacturers, collectors and recyclers operate separately, driving up costs.

The UH team's research looks to change that.

In the study, the researchers modeled streamlined recycling efforts by mapping the interactions between manufacturers and independent recycling markets. Their dual-channel closed-loop supply chain (CLSC) model identified how these players can transition from competitors to partners, which can distribute profits more equitably and make recycling efforts more financially attractive.

According to UH, the research has particular significance due to the growing demand for electronic vehicles and their batteries.

“We can improve the performance of the entire recycling ecosystem and make the profit distribution more balanced,” Wang said in the release. “This ensures that the materials we need for EVs and advanced electronics stay right here in the U.S.”

“By making recycling work at scale, we aren’t just cleaning up waste,” Shi added. “We’re building a foundation that benefits both our national security and our economy.”

1PointFive signs latest deal, shares update on $1.3B carbon removal project

DAC deal

Houston-based 1PointFive, a subsidiary of Occidental Petroleum Corp., has secured another buyer of carbon dioxide removal credits for its $1.3 billion STRATOS project as it moves toward operation.

Bain & Company, a Boston-based consulting firm, has agreed to purchase 9,000 metric tons of carbon dioxide removal (CDR) credits from the direct air capture (DAC) facility over three years, according to a news release. DAC technology pulls CO2 from the air at any location, not just where carbon dioxide is emitted.

The deal is Bain's first purchase of DAC removal credits. The company has developed a program that helps clients purchase carbon credits from a range of carbon-removal technologies.

"We are proud to partner with 1PointFive and add them to our portfolio of engineered carbon removal technologies," Sam Israelit, Bain’s chief sustainability officer, said in the news release. "Their track record for developing DAC technology, coupled with their deep understanding of what it takes to deliver large-scale infrastructure projects, uniquely positions them to be a leader in this emerging segment.”

“We believe this agreement demonstrates continued momentum for the solution while supporting the development of vital domestic infrastructure,” Anthony Cottone, president and general manager of 1PointFive, added in the release.

Bain joins others like Microsoft, Amazon, AT&T, Airbus, the Houston Astros and the Houston Texans that have agreed to buy CDR credits from STRATOS.

The Texas-based STRATOS project is being developed through a joint venture with investment manager BlackRock and is designed to capture up to 500,000 metric tons of CO2 per year. The U.S Environmental Protection Agency approved Class VI permits for the project last year.

1PointFive says STRATOS is "progressing through start-up activities." The company shared in a LinkedIn post that Phase 1 of the project is expected to go online in Q2, with Phase 2 ramping up through the remainder of 2026.

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