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.

  1. Using machine learning to discover materials for plasma-assisted catalytic reactions
  2. Developing a model to simulate complex interactions to better understand microwave-plasma-assisted heating
  3. Designing catalysts supports for efficient microwave-assisted reactions
  4. 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 energy tech platform Molecule closes series B funding

energy software

Houston-based energy trading risk management (ETRM) software company Molecule has completed a successful series B round for an undisclosed amount, according to a July 16 release from the company.

The raise was led by Sundance Growth, a California-based software growth equity firm.

Sameer Soleja, founder and CEO of Molecule, said in the release that the funding will allow the company to "double down on product innovation, grow our team, and reach even more markets."

Molecule closed a $12 million Series A round in 2021, led by Houston-based Mercury Fund, and has since seen significant growth. The company, which was founded in 2012, has expanded its customer base across the U.S., U.K., Europe, Canada and South America, according to the release.

Additionally, it has launched two new modules of its software platform. Its Hive module, which debuted in 2022, enables clients to manage their energy portfolio and renewable credits together in one scalable platform. It also introduced Elektra, an add-on for the power market to its platform, which allows for complex power market trading.

"Four years ago, we committed to becoming the leading platform for energy trading," Soleja said in the release. "Today, our customers are managing complex power and renewable portfolios across multiple jurisdictions, all within Molecule.”

Molecule is also known for its data-as-a-lake platform, Bigbang, which enables energy ETRM and commodities trading and risk management (CTRM) customers to automatically import trade data from Molecule and then merge it with various sources to conduct queries and analysis.

“Molecule is doing something very few companies in energy tech have done: combining mission-critical depth with cloud-native, scalable technology,” Christian Stewart, Sundance Growth managing director, added in the statement. “Sameer and his team have built a platform that’s not only powerful, but user-friendly—a rare combination in enterprise software. We’re thrilled to partner with Molecule as they continue to grow and transform the energy trading and risk management market.”

D.C. energy company secures $233M for ERCOT battery storage projects

fresh funding

The Electricity Reliability Council of Texas’ grid will get a boost courtesy of Lydian Energy.

The D.C.-based company announced the successful financial close of its first institutional project financing totaling $233 million, backed by ING Group and KeyBank. The financing will support three battery energy storage system (BESS) projects in Texas.

Lydian is an independent power producer that specializes in the development, construction and operation of utility-scale solar and battery energy storage projects. The company reports that it plans to add 550 megawatts of energy—which can power approximately 412,500 homes—to the Texas grid administered by ERCOT.

“This financing marks an important step forward as we continue executing on our vision to scale transformative battery storage projects that meet the evolving energy needs of the communities we serve,” Emre Ersenkal, CEO at Lydian Energy, said in a news release.

The projects include:

Pintail 

  • Located in San Patricio county
  • 200 megawatts
  • Backed by ING

Crane

  • Located in Crane county
  • 200 megawatts
  • Backed by ING

Headcamp

  • Located in Pecos county
  • 150 megawatts
  • Backed by KeyBank

ING served as the lender for Pintail and Crane projects valued at a combined total of approximately $139 million.

KeyBank provided a $94 million financing package for the Headcamp project. KeyBanc Capital Markets also structured the financing package for Headcamp.

The three projects are being developed under Excelsior Energy Capital’s Fund II. Lydian’s current portfolio comprises 20 solar and storage projects, totaling 4.7 gigawatts of capacity.

“Our support of Lydian’s portfolio reflects ING’s focus on identifying strategic funding opportunities that align with the accelerating demand for sustainable power,” Sven Wellock, managing director and head of energy–renewables and power at ING, said in the release. “Battery storage plays a central role in supporting grid resilience, and we’re pleased to back a platform with strong fundamentals and a clear execution path.”

The facilities are expected to be placed in service by Q4 2025. Lydian is also pursuing additional financing for further projects, which are expected to commence construction by the end of 2025.

“These financings represent more than capital – they reflect the strong demand for reliable energy infrastructure in high-growth U.S. markets,” Anne Marie Denman, co-founding partner at Excelsior Energy Capital and chair of the board at Lydian Energy, added in the news release. “We’re proud to stand behind Lydian’s talented team as they deliver on the promise of battery storage with bankable projects, proven partners, and disciplined execution. In the midst of a lot of noise, these financings are a reminder that capital flows where infrastructure is satisfying fundamental needs of our society – in this case, the need for reliable, sustainable, domestic, and affordable energy.”