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Jason Jonkman

Researcher at National Renewable Energy Laboratory

Publications -  219
Citations -  13656

Jason Jonkman is an academic researcher from National Renewable Energy Laboratory. The author has contributed to research in topics: Wind power & Turbine. The author has an hindex of 44, co-authored 196 publications receiving 11767 citations. Previous affiliations of Jason Jonkman include Office of Scientific and Technical Information.

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Development of a Control Co-Design Modeling Tool for Marine Hydrokinetic Turbines

TL;DR: CT-Opt as discussed by the authors is a control co-design modeling tool for marine hydrokinetic turbines that combines multiple models across a range of fidelities to enable coupled optimization of the system design and system controller via a control-co-design approach.
Journal ArticleDOI

A time‐varying formulation of the curled wake model within the FAST.Farm framework

TL;DR: In this paper , the authors present a time-varying formulation of the curled wake model that is implemented in FAST.Farm and compare the two formulations and highlight the differences with the original wake model.

Hybrid Electro-Mechanical Simulation Tool for Wind Turbine Generators: Preprint

TL;DR: In this article, the authors describe the use of MATLAB/Simulink to simulate the electrical and grid-related aspects of a WTG and the FAST aero-elastic wind turbine code to simulate aerodynamic and mechanical aspects of the WTG.
Journal ArticleDOI

Dynamic inflow and unsteady aerodynamics models for modal and stability analyses in OpenFAST

TL;DR: In this article , the authors present two aerodynamic models that are used to perform modal and stability analyses of wind turbines, which are written in a continuous-time state-space form, which is the form needed to perform linearizations within OpenFAST.