To support the progression of solar power, a team led by Texas A&M Engineering Experiment Station researchers received a $4.4 million Department of Energy grant to develop and demonstrate a cyber-resilient operation for power distribution systems with massively photovoltaic generation, such as rooftop solar panels.
Dr. Nimir O. Elbashir and his research team are working on a novel process that could help gas-producing countries process natural gas without significantly contributing to CO2 emissions by converting natural gas into valuable hydrocarbon products, including ultraclean fuels or useful chemicals.
Texas A&M University is part of the National Alliance for Water Innovation consortium, which was recently awarded a five-year, $100 million Energy-Water Desalination Hub by the U.S. Department of Energy that will address water security issues in the United States.
Currently we are facing serious issues related to global warming due to the excessive use of coal and petroleum. Researchers are collaborating to work on a new porous polymer that can store natural gas, a cleaner alternative, more effectively than anything currently being used.
The quest for clean energy sources has been ongoing for many years with minimal results. This could all change with the development of a single device that will lie on the water’s surface and utilize the ocean waves to generate electrical power.
A team lead by Dr. Kate Davis from the Texas A&M Engineering Experiment Station received a grant from the U.S. Department of Energy to support the research, development and demonstration of next-generation tools and technologies to improve the cybersecurity and resilience of the nation's critical energy infrastructure.
Dr. Akhil Datta-Gupta is using $1.2 million in funding from the Department of Energy to create a rapid and cost-effective CO2 subsurface monitoring system. This system will benefit energy companies using injected CO2 for oil recovery and power companies that store produced CO2 waste emissions.
Dr. Yu Ding, the Mike and Sugar Barnes Professor in the Department of Industrial and Systems Engineering at Texas A&M University has made a big impact in the wind energy industry with his use of data science to model wind turbine performance and quantify potential upgrades.