GSE Solutions Supports NuScale Power’s Advances in Hydrogen Production Using Simulation
COLUMBIA, Md., June 30, 2025 /PRNewswire/ — GSE Solutions, a leader in advanced engineering solutions supporting clean energy production and decarbonization initiatives in the power industry, today announced it has developed a hydrogen fuel cell generation and storage plant simulation model using its JTopmeret modeling to support a NuScale Power (NuScale) (NYSE: SMR) hydrogen simulator project.
NuScale, the industry-leading provider of proprietary and innovative advanced small modular reactor (SMR) nuclear technology, recently launched new research initiatives aimed at advancing integrated energy systems that can deliver both clean water and energy-efficient hydrogen production. Included was the development of an Integrated Energy System simulator for hydrogen production (High-Temperature Steam Electrolysis Mode), hydrogen fuel cell generation and hydrogen storage.
GSE Solutions, in collaboration with NuScale’s operations team, helped redesign the steam supply, hydrogen compression, and heat recovery system control logic, utilizing GSE’s JTopmeret® and JLogic modeling technology, components of GSE’s JADE® high-fidelity simulation suite, for their reversible solid oxide fuel cell (RSOFC). The RSOFC interfaces with the existing SMR control room simulator at NuScale headquarters in Corvallis, Oregon. The updated simulator enables NuScale to dynamically evaluate and optimize various configurations for a wide range of commercial-scale industrial applications that require more than 200 metric tons of hydrogen per day. NuScale is the first SMR company to integrate hydrogen production into its control room simulator.
Ravi Khanna, President and CEO, GSE Solutions, said:
We are proud to be part of an industry first,
“NuScale can now use the integrated SMR/RSOFC model to test control strategies and determine how best to use them for hydrogen storage in meeting decarbonization goals.”
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GSE Solutions Supports NuScale Power’s Advances in Hydrogen Production Using Simulation, source
