J
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.
Papers
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Proceedings ArticleDOI
Development and Verification of a Fully Coupled Simulator for Offshore Wind Turbines
Jason Jonkman,Marshall Buhl +1 more
TL;DR: In this paper, a quasi-static mooring system was developed with enough sophistication to address the limitations of previous frequency and time domain studies and to have the features required to perform an integrated loads analysis.
Hydrodynamic Optimization Method and Design Code for Stall-Regulated Hydrokinetic Turbine Rotors
D. Sale,Jason Jonkman,W. Musial +2 more
TL;DR: In this paper, the authors describe the adaptation of a wind turbine performance code for use in the development of a general use design code and optimization method for stall-regulated horizontal-axis hydrokinetic turbine rotors.
Journal ArticleDOI
The effects of second-order hydrodynamics on a semisubmersible floating offshore wind turbine
TL;DR: In this article, the second-order hydrodynamic effects on a semisubmersible floating offshore wind turbine were investigated and compared to the first-order energy loads and induced motions in the frequency domain.
Journal ArticleDOI
Modeling and Control to Mitigate Resonant Load in Variable-Speed Wind Turbine Drivetrain
TL;DR: In this article, a power-electronics-based controller is proposed to attenuate the drivetrain load in a wind turbine by temporarily shifting the closed-loop eigenfrequency through the addition of virtual inertia.
Journal ArticleDOI
The creation of a comprehensive metocean data set for offshore wind turbine simulations
TL;DR: In this article, a database of meteorological and ocean conditions for use in offshore wind energy research and design is presented, including wind speed, significant wave height, wave peak-spectral period, wind direction and wave direction.