A Methodology for Large-Scale Ocean Wave Power Time-Series Generation

Brekken, Ted K. A.; Özkan-Haller, H. Tuba; Simmons, Asher

doi:10.1109/joe.2012.2187393

Cited by 32 publications

(18 citation statements)

References 15 publications

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“…On the contrary, if the array spacing is large compared with the size of the WECs the direct interactions can be neglected [106,107], but the capital cost will be greater as the mooring and submarine cables will be more expensive. Some studies consider a spacing of 100 m [108,109], whereas others assume smaller spacing values [110]. In some cases [111,112] the spacing is given as a function of the device diameter, with a typical value of 10 times the diameter; finally, in other cases the spacing is given as a function of the wavelength, namely 75-100% of the wavelength [105,106].…”

Section: Wave Farm Costsmentioning

confidence: 99%

The economics of wave energy: A review

Astariz

Iglesias

2015

Renewable and Sustainable Energy Reviews

366

131

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Section: Wave Farm Costsmentioning

confidence: 99%

The economics of wave energy: A review

Astariz

Iglesias

2015

Renewable and Sustainable Energy Reviews

366

131

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“…The proposed models characterize the variation of H s and T over time considering real data observation for the parametric adjustment and validation. The methodology consider two parts: a first analysis based on Fourier series, which is used to describe the seasonal behavior of waves in deep waters [23], where the theory of linear waves can be applied [13]; and a second part corresponding to the representation of the randomness inherent to the oceans, which is characterized by the Ornstein-Uhlenbeck (O-U) process. Mathematically, this is expressed in Equation 1for H s and in Equation 2for T.…”

Section: Theoretical Modelmentioning

confidence: 99%

A Dynamic Stochastic Hybrid Model to Represent Significant Wave Height and Wave Period for Marine Energy Representation

et al. 2019

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This paper presents a methodology to represent ocean wave power generation based on real data observation for significant wave height (SWH or H s ) and wave period (WP or T). This technique is based on a hybrid model, which considers Fourier series and stochastic differential equations, allowing a continuous time representation of the random changes in the parameters associated with wave power generation ( H s and T). The methodology is explained, including estimation methods and a validation procedure. The data series generated by the models erre used to create simulated wave power output applying a transformed matrix and a theoretical model. The results validate the utilization of this technique, when the objective is to obtain a robust dynamic representation of a random process, oriented to linear studies.

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“…It is clear that a closed-loop system in (30) will result in an optimization problem that is nonlinear because of the K in the term BKn = BKEw n . Therefore, another approach is used to obtain the control gain K.…”

Section: B Measurement Noisesmentioning

confidence: 99%

“…The sea wave elevation is approximated into a Fourier series consisting of sinusoidal waves at different energy content (amplitude), frequency, and phase [29,30].…”

Section: A Ship Deck Heave Modelmentioning

confidence: 99%

Autonomous ship deck landing of a quadrotor using invariant ellipsoid method

Tan

Wang

Paw

et al. 2016

IEEE Trans. Aerosp. Electron. Syst.

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This paper proposes an invariant ellipsoid-based method for the controller design and gain synthesis of a low-cost quadrotor autonomous ship deck landing system subjected to wind disturbance and measurement noise. This method optimizes the quadrotor performance, hence achieving soft landing. A complete control architecture for the quadrotor is also presented. Simulations are performed using a realistic ship deck model in the presence of measurement noise and wind disturbance with a quadrotor. has been with the School of Electrical and Electronic Engineering at Nanyang Technological University, Singapore, where he is currently an associate professor. His research interest includes multiagent systems, vision-based control systems, robust and reliable control, path planning and trajectory generation, and flight control systems. Yew Chai Paw received the B.Eng. and M.Eng. degrees in mechanical and aerospace engineering from Nanyang Technology University, Singapore, in 2000 and 2005, respectively. He received the Ph.D. degree in aerospace engineering in 2009 from University of Minnesota, MN. He is currently a principal member of technical staff in DSO National Laboratories, Singapore. His research interests include UAV system engineering and flight dynamics modeling. Fang Liao received her B.E. and M.E. degrees in control and navigation, both from

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A Methodology for Large-Scale Ocean Wave Power Time-Series Generation

Cited by 32 publications

References 15 publications

The economics of wave energy: A review

The economics of wave energy: A review

A Dynamic Stochastic Hybrid Model to Represent Significant Wave Height and Wave Period for Marine Energy Representation

Autonomous ship deck landing of a quadrotor using invariant ellipsoid method

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