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Dive into the research topics where Ryan Geoffrey Coe is active.

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Featured researches published by Ryan Geoffrey Coe.


ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering | 2015

Preliminary Wave Energy Converters Extreme Load Analysis

Yi-Hsiang Yu; Jennifer van Rij; Ryan Geoffrey Coe; Michael Lawson

Wave energy converter (WEC) devices are designed to sustain the wave-induced loads that they experience during both operational and survival sea states. The extreme values of these forces are often a key cost driver for WEC designs. These extreme loads must be carefully examined during the device design process, and the development of a specific extreme condition modeling method is essential. In this paper, the key findings and recommendations from the extreme conditions modeling workshop hosted by Sandia National Laboratories and the National Renewable Energy Laboratory are reviewed. Next, a study on the development and application of a modeling approach for predicting WEC extreme design load is described. The approach includes midfidelity Monte-Carlo-type time-domain simulations to determine the sea state in which extreme loads occur. In addition, computational fluid dynamics simulations are employed to examine the nonlinear wave and floating-device-interaction-induced extreme loads. Finally, a discussion on the key areas that need further investigation to improve the extreme condition modeling methodology for WECs is presented.Copyright


oceans conference | 2014

Nonlinear time-domain performance model for a wave energy converter in three dimensions

Ryan Geoffrey Coe; Diana L Bull

A nonlinear three-dimensional time-domain performance model has been developed for a floating axisymmetric point absorbing WEC. This model employs a set of linear partial differential equations, in the form of a state-space model, to replace the convolution integrals needed to solve for radiation reaction. Linear time-domain results are verified against predictions from a frequency-domain model. Nonlinear time-domain predictions are compared back to frequency-domain and linear time-domain predictions to show the effects of some linearization assumptions. A simple resistive control strategy is applied throughout these scenarios.


oceans conference | 2016

Estimation of excitation force on wave energy converters using pressure measurements for feedback control

Ossama Abdelkhalik; Shangyan Zou; Giorgio Bacelli; Rush D. Robinett; David G. Wilson; Ryan Geoffrey Coe

Many of the control strategies for wave energy converters (WECs) that have been studied in the literature rely on the availability of estimates for either the wave elevation or the exciting force caused by the incoming wave; with the objective of addressing this issue, this paper presents the design of a state estimator for a WEC. In particular, the work described in this paper is based on an extended Kalman filter that uses measurements from pressure sensors located on the hull of the WEC to estimate the wave exciting force. Simulation results conducted on a heaving point absorber WEC shows that the extended Kalman filter provides a good estimation of the exciting force in the presence of measurement noise combined with a simplified model of the system, thus making it a suitable candidate for the implementation in an experimental set-up.


IEEE Transactions on Sustainable Energy | 2017

Multiresonant Feedback Control of a Three-Degree-of-Freedom Wave Energy Converter

Ossama Abdelkhalik; Shangyan Zou; Rush D. Robinett; Giorgio Bacelli; David G. Wilson; Ryan Geoffrey Coe; Umesh A. Korde

For a three-degree-of-freedom wave energy converter (heave, pitch, and surge), the equations of motion could be coupled depending on the buoy shape. This paper presents a multiresonant feedback control, in a general framework, for this type of a wave energy converter that is modeled by linear time invariant dynamic systems. The proposed control strategy finds the optimal control in the sense that it computes the control based on the complex conjugate criteria. This control strategy is relatively easy to implement since it is a feedback control in the time domain that requires only measurements of the buoy motion. Numerical tests are presented for two different buoy shapes: a sphere and a cylinder. Regular, Bretschnieder, and Ochi–Hubble waves are tested. Simulation results show that the proposed controller harvests energy in the pitch-surge-heave modes that is about three times the energy that can be harvested using a heave-only device. This multiresonant control can also be used to shift the energy harvesting between the coupled modes, which can be exploited to eliminate one of the actuators while maintaining about the same level of energy harvesting.


ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering | 2015

SENSITIVITY OF A WAVE ENERGY CONVERTER DYNAMICS MODEL TO NONLINEAR HYDROSTATIC MODELS

Ryan Geoffrey Coe; Diana L Bull

A three dimensional time-domain model, based on Cummins equation, has been developed for an axisymmetric point absorbing wave energy converter (WEC) with an irregular cross section. This model incorporates a number of nonlinearities to accurately account for the dynamics of the device: hydrostatic restoring, motion constraints, saturation of the power-take-off force, and kinematic nonlinearities. Here, an interpolation model of the hydrostatic restoring reaction is developed and compared with a surface integral based method. The effects of these nonlinear hydrostatic models on device dynamics are explored by comparing predictions against those of a linear model. For the studied WEC, the interpolation model offers a large improvement over a linear model and is roughly two orders-of-magnitude less computationally expensive than the surface integral based method.Copyright


Archive | 2014

REVIEW OF METHODS FOR MODELING WAVE ENERGY CONVERTER SURVIVAL IN EXTREME SEA STATES

Ryan Geoffrey Coe; Vincent Sinclair Neary


Energies | 2017

System Identification of a Heaving Point Absorber: Design of Experiment and Device Modeling

Giorgio Bacelli; Ryan Geoffrey Coe; David Charles Patterson; David G. Wilson


Journal of Ocean Engineering and Marine Energy | 2016

On the control design of wave energy converters with wave prediction

Ossama Abdelkhalik; Rush D. Robinett; Shangyan Zou; Giorgio Bacelli; Ryan Geoffrey Coe; Diana L Bull; David G. Wilson; Umesh A. Korde


Renewable Energy | 2018

Full long-term design response analysis of a wave energy converter

Ryan Geoffrey Coe; Carlos Michelen; Aubrey Celia Eckert-Gallup; Cédric J. Sallaberry


Archive | 2016

A comparison of WEC control strategies

David G. Wilson; Giorgio Bacelli; Ryan Geoffrey Coe; Diana L Bull; Ossama Abdelkhalik; Umesh A. Korde; Rush D. Robinett

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David G. Wilson

Sandia National Laboratories

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Ossama Abdelkhalik

Michigan Technological University

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Rush D. Robinett

Michigan Technological University

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Diana L Bull

Sandia National Laboratories

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Shangyan Zou

Michigan Technological University

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Umesh A. Korde

Michigan Technological University

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Yi-Hsiang Yu

National Renewable Energy Laboratory

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Carlos Michelen

Sandia National Laboratories

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