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

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

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.

Trending News

A View From HETI

A new joint venture will work on four projects supplying 5 gigawatts of power from combined-cycle power plants for the ERCOT and PJM Interconnection grids. Photo via Getty Images.

Houston-based power provider NRG Energy Inc. has formed a joint venture with two other companies to meet escalating demand for electricity to fuel the rise of data centers and the evolution of generative AI.

NRG’s partners in the joint venture are GE Vernova, a provider of renewable energy equipment and services, and TIC – The Industrial Co., a subsidiary of construction and engineering company Kiewit.

“The growing demand for electricity in part due to GenAI and the buildup of data centers means we need to form new, innovative partnerships to quickly increase America’s dispatchable generation,” Robert Gaudette, head of NRG Business and Wholesale Operations, said in a news release. “Working together, these three industry leaders are committed to executing with speed and excellence to meet our customers’ generation needs.”

Initially, the joint venture will work on four projects supplying 5 gigawatts of power from combined-cycle power plants, which uses a combination of natural gas and steam turbines that produce additional electricity from natural gas waste. Electricity from these projects will be produced for power grids operated by the Electric Reliability Council of Texas (ERCOT) and PJM Interconnection. The projects are scheduled to come online from 2029 through 2032.

The joint venture says the model it’s developing for these four projects is “replicable and scalable,” with the potential for expansion across the U.S.

The company is also developing a new 721-megawatt natural gas combined-cycle unit at its Cedar Bayou plant in Baytown, Texas. Read more here.

Trending News