MVCO site - UTD Scanning Lidar (Windcube 200S) / Raw Data
This dataset contains raw data from the UTD LIDAR Windcube 200S at the MVCO site.
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Engineering topics
Zalkind, Daniel
Publications and source records attributed to Zalkind, Daniel.
MVCO site - UTD Scanning Lidar (Halo XR) / Raw Data
This dataset contains raw data from the UTD Halo XR Lidar at the WFIP3 MVCO site.
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MVCO site - UTD LIDAR Halo XR / Processed Data
This dataset contains processed data from the UTD Halo XR Lidar at the MVCO site.
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MVCO site - UTD Surface Met / Raw Data
This dataset contains raw data from the WFIP3 MVCO site UTD sonic anemometer.
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MVCO site - UTD Surface Met Station / Reviewed Data
This dataset contains reviewed data from the C1 UTD surface met station at the MVCO site.
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MVCO Site - Lidar / Processed Data
This dataset contains processed data from the UTD LIDAR Windcube 200S at the WFIP3 MVCO site.
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Development of an Optimal Variable-Pitch Controller for Floating Axial-Flow Marine Hydrokinetic Turbines
This article discusses the development of an optimal variable-pitch controller for floating, axial-flow marine turbines. Recently, OpenFAST, an open-source wind turbine modeling tool, has been extended to model marine turbines. A controller is necessary to simulate marine turbines for different load cases using OpenFAST, which greatly impacts the performance of the energy system. Previous studies have designed controllers using a linearized model of the marine turbine, which can be time-consuming and require the expertise of a control engineer. In this study, we use an automated approach that uses generic models of the marine turbine to identify the controller gains, which can expedite the process of designing a controller. Using an optimizer to identify the control system parameters can additionally improve the controller's performance. The optimal controller tuned using such an approach results in a 20% reduction in the tower-base damage equivalent loading and better tracking of the rated generator speed and power.
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