Numerical Simulation of an Experimental Ocean Current Turbine

VanZwieten, James H.; Vanrietvelde, N.; Hacker, B. L.

doi:10.1109/joe.2012.2218891

Cited by 38 publications

(25 citation statements)

References 14 publications

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“…The MCT numerical simulation platform utilized for this work incorporates the blade element momentum modeling technique and dynamic wake inflow model presented in [21] to calculate the fluid structure interactions. Additionally, the 20-m diameter variable pitch rotor utilized by the platform is based upon the work done in [22].…”

Section: Mct Modeling and Imbalance Faults Analysis A Mct Modeling And Simulationmentioning

confidence: 99%

Rotor Blade Pitch Imbalance Fault Detection for Variable-Speed Marine Current Turbines via Generator Power Signal Analysis

Tang¹

2020

Preprint

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<div>Marine hydrokinetic (MHK) turbines extract renewable energy from oceanic environments. However, due to the harsh conditions that these turbines operate in, system performance naturally degrades over time. Thus, ensuring efficient condition-based maintenance is imperative towards guaranteeing reliable operation and reduced costs for hydroelectric power. </div><div>This paper proposes a novel framework aimed at identifying and classifying the severity of rotor blade pitch imbalance faults experienced by marine current turbines (MCTs). In the framework, a Continuous Morlet Wavelet Transform (CMWT) is first utilized to acquire the wavelet coefficients encompassed within the 1P frequency range of the turbine's rotor shaft. From these coefficients, several statistical indices are tabulated into a six-dimensional feature space. Next, Principle Component Analysis (PCA) is employed on the resulting feature space for dimensionality reduction, followed by the application of a K-Nearest Neighbor (KNN) machine learning algorithm for fault detection and severity classification. The framework's effectiveness is validated using a high-fidelity MCT numerical simulation platform, where results demonstrate that pitch imbalance faults can be accurately detected 100% of the time and classified based upon severity more than 97% of the time.</div>

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Section: Mct Modeling and Imbalance Faults Analysis A Mct Modeling And Simulationmentioning

confidence: 99%

Rotor Blade Pitch Imbalance Fault Detection for Variable-Speed Marine Current Turbines via Generator Power Signal Analysis

Tang¹

2020

Preprint

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“…With a blade-circle diameter of 33 m and an assumed rotor power coefficient, C p (the ratio between the power extracted by the rotor blades and the current's MHK power), of 0.48, a current speed of 1.7 m s −1 produces a maximum power extraction from the current of 1 MW (Figure 2). Published estimates of in-stream rotor power coefficients range from 0.3 (e.g., Gorban et al 2001, Guney 2011) to approximately 0.5 (e.g., VanZwieten et al 2013b, Neary et al 2014b). …”

Section: Extracting Marine Hydrokinetic Energymentioning

confidence: 99%

Marine Hydrokinetic Energy from Western Boundary Currents

Bane

Muglia

et al. 2017

Annu. Rev. Mar. Sci.

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The kinetic energy in ocean currents, or marine hydrokinetic (MHK) energy, is a renewable energy resource that can help meet global energy requirements. An ocean circulation model-based census shows that subtropical surface western boundary currents (WBCs) are the only nearshore, large-scale currents swift enough to drive large electricity-generating ocean turbines envisioned for future use. We review several WBCs in the context of kinetic energy extraction. The power density in the Gulf Stream off North Carolina at times reaches several thousand watts per square meter at 75 m below the surface, and the annual average power is approximately 500-1,000 W m −2 . Significant fluctuations occur with periods of 3-20 days (Gulf Stream meanders) and weeks to months (Gulf Stream path shifts). Interannual variations in annual average power occur because of year-to-year changes in these WBC motions. No large-scale turbines presently exist, and the road to establishing MHK facilities in WBCs will encounter challenges that are similar in many aspects to those associated with the development of offshore wind power.

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“…OCT Hydrodynamic Model: Th presented in this paper are calculate simulation of the SNMREC's 20 k developed prior to this study [8] presented in [9]. The simulation inc the cable that attaches the turbine t other tow point, an unsteady blade model, and a model that accounts fo on the main turbine body and ap predicts the performance of the turbine design presented in [9], wh cable, 3-bladed rotor (3 m diameter and has a total mass of 1680 kg (Figu Figure 4: The SNMREC's neutrally buoyan design that is evaluated using the numeric sim Please note that the rotor is not accurately d cable is not drawn t 2. OCT Electromechanical Mode presented in [9] can be used to calcu of an OCT, as well as the shaft po include an electromechanical mode used to directly estimate the electr turbine.…”

Section: A Oct Numeric Modelmentioning

confidence: 99%

Design and analysis of an ocean current turbine performance assessment system

2012

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To quantify the performance of experimental ocean current turbines (OCTs) during offshore testing, important performance metrics are presented along with a proposed sensor suite and the mathematical relationships that can be used to calculate them. A numerical simulation of an OCT and numeric models of the selected sensors are utilized to synthesize measurements which are used to calculate relative free stream flow velocity, electric power output, total system efficiency, shaft power, and rotor efficiency. By evaluating the calculated performance metrics, both with and without sensor limitations, the impact of the sensor limitations on the calculated performance metrics are evaluated. The impact of averaging times on the repeatability of performance calculations are also evaluated for several operating conditions to guide offshore testing requirements. It is found that for a 2 m significant wave height the selected sensor system increases the standard deviation of the calculated performance metrics for 1 min averages and an operating depth of 10 m by 5-20%. For a depth of 20 m the OCT performance is more consistent and the sensors increase the variability of the calculated performance metrics by between 30-50% for 1 min averages. For the same significant wave height and a depth of 10 m the standard deviation of the 1 min averaged sensor measured system and rotor efficiencies for are shown to range from 0.9 and 3.3% of their mean value. However this can be decreased to a 0.13 and 0.52% if the operating depth is decreased to 10 m and the averaging time is increased to 10 min.

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Numerical Simulation of an Experimental Ocean Current Turbine

Cited by 38 publications

References 14 publications

Rotor Blade Pitch Imbalance Fault Detection for Variable-Speed Marine Current Turbines via Generator Power Signal Analysis

Rotor Blade Pitch Imbalance Fault Detection for Variable-Speed Marine Current Turbines via Generator Power Signal Analysis

Marine Hydrokinetic Energy from Western Boundary Currents

Design and analysis of an ocean current turbine performance assessment system

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