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Experimental Hydrodynamic Performance Assessment Of the SNMREC’s 20 kW Ocean Current Turbine
Title
Experimental Hydrodynamic Performance Assessment Of the SNMREC’s 20 kW Ocean Current Turbine.
Creator
Young, Matthew T., VanZwieten, James H., Graduate College
Date Issued
2011-04-08
PURL
http://purl.flvc.org/fcla/dt/3172440
Subject Headings
Water-power --Technological innovations --United States, Fluid dynamics, Ocean currents
Format
Document (PDF)
Design and analysis of an ocean current turbine performance assessment system
Title
Design and analysis of an ocean current turbine performance assessment system.
Creator
Young, Matthew T., College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering
Abstract/Description
This thesis proposes a sensor approach for quantifying the hydrodynamic performance of Ocean Current Turbines (OCT), and investigates the influence of sensor-specific noise and sampling rates on calculated turbine performance. Numerical models of the selected sensors are developed, and then utilized to add stochastic measurement error to numerically-generated, non-stochastic OCT data. Numerically-generated current velocity and turbine performance measurements are used to quantify the relative...
Show moreThis thesis proposes a sensor approach for quantifying the hydrodynamic performance of Ocean Current Turbines (OCT), and investigates the influence of sensor-specific noise and sampling rates on calculated turbine performance. Numerical models of the selected sensors are developed, and then utilized to add stochastic measurement error to numerically-generated, non-stochastic OCT data. Numerically-generated current velocity and turbine performance measurements are used to quantify the relative influence of sensor-specific error and sampling limitations on sensor measurements and calculated OCT performance results. The study shows that the addition of sensor error alters the variance and mean of OCT performance metric data by roughly 7.1% and 0.24%, respectively, for four evaluated operating conditions. It is shown that sensor error results in a mean, maximum and minimum performance metric to Signal to Noise Ration (SNR) of 48.6% and 6.2%, respectively.
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Date Issued
2012
PURL
http://purl.flvc.org/FAU/3359164
Subject Headings
Marine turbines, Mathematical models, Fluid dynamics, Structural dynamics, Stochastic processes, Rotors, Design and construction, Testing
Format
Document (PDF)