Advancing Wind Farm Controls through Atmospheric Insights

We are initiating a study on advancing wind farm controls through atmospheric insights. The study will reveal how we use limited atmospheric measurement data in optimally control wind farms in collective ways. The hierarchical multidisciplinary design optimization with varied fidelity level will be used to train, estimate, and operate the target wind farms. Participating Students

Design Coupling Tool Development for Wind Energy with Integrated Servo-Control (WEIS) Framework

Design coupling tool enables a reduction in the number of design variables, while preserving sufficient design accuracy, resulting in a reduction in total design optimization cost. This project aims to develop design coupling analysis methodologies leveraging various modeling and analysis technologies, such as machine learning, surrogate modeling, and design process framework theories. The demonstration problem will be implemented in the Wind Energy with Integrated Servo-control (WEIS) toolset, based on the OpenMDAO-WEIS framework, and will identify groups of design variables that …

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Hierarchical Control Co-Design for the Development of Floating Vertical-Axis Wind Turbines

The objective of this project is the development of a hierarchical control co-design (H-CCD)formulation, specifically applied to the floating vertical-axis wind turbine (FloatVAWT) systemdesign as a strategy to enable achievement of aggressive LCOE targets. Vertical-axis windturbines (VAWTs) have significant potential in achieving low-cost floating offshore wind turbine(FOWT) systems based on their inherent characteristics favorable to the marine environmentbecause they have lower vertical centers of gravity and aerodynamic pressure, demandingsmaller and less expensive floating platforms. Related Publications and Presentations

Experimental Modeling of Hydrokinetic Turbine Systems

Experimental analysis on the hydrokinetic turbine systems provide data for identifying and validating model parameters for the horizontal axis hydrokinetic turbines in the context of design optimization. It is crucial to optimize the HAHkT scale, external and internal geometry, rotor and blade design, and control scheme simultaneously to achieve cost-efficient energy conversion. However, high-fidelity simulation models, such as three-dimensional computational fluid dynamics (CFD), are costly, making the reduced-order model (ROM) approach more practical in the optimization loop. In this study, …

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