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AMR-Wind is a high-fidelity computational-fluid-dynamics solver for simulating wind farm flow physics. The solver enables predictive simulations of the atmospheric boundary layer and wind plants by leveraging a block-structured, adaptive-mesh, incompressible-flow solver. AMR-Wind is designed for scalability on high performance computing systems, with an emphasis on performance portability for graphical processing units (GPUs). These flow solver capabilities and performance characteristics were enabled using the AMReX library. In this talk, we present AMR-Wind, its capabilities and performance characteristics. We detail the numerical implementation, verification and validations efforts, as well as demonstrate AMR-Wind for large eddy simulations of wind farm physics. A demonstration simulation is presented for a 12-turbine wind farm operating in a turbulent atmospheric boundary layer with realistic wake interactions. We also discuss AMR-Wind in the wider context of the ExaWind suite of codes, including (1) its integration as a background solver to Nalu-Wind with overset methods to perform geometry-resolved simulations of wind turbines and (2) its use coupled to a mesoscale weather simulation code, ERF.
