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  • Rutgers Awarded: DOE ARPA-E grant for advancing "Computationally Efficient Atmospheric‐Data‐Driven Control Co‐Design Optimization Framework with Mixed‐Fidelity Fluid and Structure Analysis (ATLANTIS)"

Rutgers Awarded: DOE ARPA-E grant for advancing "Computationally Efficient Atmospheric‐Data‐Driven Control Co‐Design Optimization Framework with Mixed‐Fidelity Fluid and Structure Analysis (ATLANTIS)"

RUTGERS UNIVERSITY, THE STATE UNIVERSITY OF NEW JERSEY – PISCATAWAY, NJ

Computationally Efficient Atmospheric-Data-Driven Control Co-Design Optimization Framework with Mixed-Fidelity Fluid and Structure Analysis – $1,356,872

Rutgers University will develop a computationally efficient, atmospheric-data-driven, control co-design optimization software framework for floating offshore wind turbine design. They will focus on developing a modular computational framework for the modeling, optimization, and control of primary structures coupled to the surrounding air, water, and actuator dynamics. Their framework will integrate traditional aeroelastic models with higher fidelity simulation tools. This project will yield a modular and open-source framework that will be available to the other Phase 1 teams to support the broad mission of the ATLANTIS Program.

The team: Onur Bilgen (PI), Rutgers Co-PIs/Collaborators: (MAE), Ruo-Qian Wang (Civil), Travis Miles (Marine)

Partner Organizations: University of Michigan, Brigham Young University, NREL, DARCorporation

Funding: Federal Part: $1,356,872, Total (with 10% Cost-share):  $1,507,635.56. 

More information and the official announcement is available here >> https://arpa-e.energy.gov/?q=news-item/department-energy-announces-26-million-offshore-wind-energy"