Optimal control of wave energy converters

Zou, Shangyan; Abdelkhalik, Ossama; Robinett, Rush D.; Bacelli, Giorgio; Wilson, David G.

doi:10.1016/j.renene.2016.11.036

Cited by 70 publications

(55 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Babarit et al [5] studied how the declutching control influenced the energy absorption of a WEC in regular and irregular waves. Zou et al [6] investigated constrained and unconstrained optimal control of a heaving point-absorber. Park et al [7] proposed an phase control by estimating the wave period using velocity and acceleration information.…”

Section: Introductionmentioning

confidence: 99%

Wave Force Prediction Effect on the Energy Absorption of a Wave Energy Converter With Real-Time Control

Yuan

Gao

et al. 2019

IEEE Trans. Sustain. Energy

View full text Add to dashboard Cite

Liang Li et al.: Wave force prediction effect on the energy absorption of a wave energy converter with real-time control Abstract-Real-time control has been widely adopted to enlarge the energy extraction of a wave energy converter (WEC). In order to implement a real-time control, it is necessary to predict the wave excitation forces in the close future. In many previous studies, the wave forces over the prediction horizon were assumed to be already known, while the wave force prediction effect has been hardly examined. In this paper, we investigate the effect of wave force prediction on the energy absorption of a heaving point-absorber WEC with real-time latching control. The real-time control strategy is based on the combination of optimal command theory and first order-one variable grey model GM(1,1). It is shown that a long prediction horizon is beneficial to the energy absorption whereas the prediction deviation reduces extracting efficiency of the WEC. Further analysis indicates that deviation of wave force amplitude has little influence on the WEC performance. It is the phase deviation that leads to energy loss. Since the prediction deviation accumulates over the horizon, a moderate horizon is thus recommended.Index Terms-real-time control, wave energy converter, energy absorption, renewable energy, wave force prediction I. IntroductionT is expected that the global demand for energy will climb up to 25 percent by 2040 and the world is pursuing economic and renewable energy sources to keep up with this considerable demand growth [1]. Among various of ocean energy resources, sea waves take the advantage of high power density and all-day availability. To extract energy from ocean waves, WECs with various operation mechanisms have been developed. Li et al. [2] showed the power output of an oscillating-body WEC installed on a spar-type floating wind turbine. Boren et al. [3] presented a testing of a scaled vertical axis pendulum WEC. He et al. [4] utilized a floater breakwater to harvest energy from the waves. Experimental study of the concept was performed.Control action is introduced to the WEC to enlarge the energy absorption and broaden the bandwidth. Babarit et al. [5] studied how the declutching control influenced the energy absorption of a WEC in regular and irregular waves. Zou et al.[6] investigated constrained and unconstrained optimal control of a heaving point-absorber. Park et al. [7] proposed an phase L. Li, Z. M. Yuan (corresponding author), and Y. Gao, are with Department of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde, (e-mail: liang.li@strath.ac.uk; zhiming.yuan@strath.ac.uk; yan.gao@strath.ac.uk ).control by estimating the wave period using velocity and acceleration information.The latching control was first proposed by Budal and Falnes [8]. They found that one condition for maximizing energy absorption was to keep the velocity in phase with the wave excitation force. Therefore, the latching control is a kind of phase control. Hoskin and Nichols [9] used op...

show abstract

Section: Introductionmentioning

confidence: 99%

Wave Force Prediction Effect on the Energy Absorption of a Wave Energy Converter With Real-Time Control

Yuan

Gao

et al. 2019

IEEE Trans. Sustain. Energy

View full text Add to dashboard Cite

show abstract

“…The OWC device continues to have many of its aspects researched. This includes control, turbine speed optimization, generator selection, turbine inertia considerations, power maximisation, permanent–magnet generator operation with irregular waves, short–term wave prediction for operational improvement, and use of impulse turbines …”

Section: Introductionmentioning

confidence: 99%

Multi-chamber oscillating water column wave energy converters and air turbines: A review

2018

View full text Add to dashboard Cite

Summary The oscillating water column (OWC) is a more common type of wave energy converter (WEC) that has been the subject of the study and development for several decades. Multi–chamber oscillating water column (MC–OWC) devices or arrays have the advantage of being more efficient in energy extraction compared to a single chamber system, particularly in more chaotic sea states. A variety of single and array OWC devices have been proposed and studied on a small–scale, whereas few large–scale devices have been tested under ocean wave conditions. This paper provides a concise review of the current state of MC–OWC device development in laboratory conditions. The review highlights explicitly the main stages of MC–OWC device development for one ongoing study as an example. This review was based on the available information in the literature from 2003 to 2012, in addition, further work is presented as part of the current study at the University of Technology Sydney. This study is from 2015 to 2018. The discussion shows the challenges that a device needs to overcome to be more competitive with other WECs in the global of wave energy converter area.

show abstract

“…Most of them absorb energy from the wave height and the water depth. The location for a WEC system typically include shoreline, near-shore and offshore [2]. With the contribution from the improved technological support, various types of concepts/prototypes to extract wave energy from ocean have emerged in recent years.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Wave Power Generation Using a Convolutional Neural Network with Multiple Inputs

2018

Energies

View full text Add to dashboard Cite

Successful development of a marine wave energy converter (WEC) relies strongly on the development of the power generation device, which needs to be efficient and cost-effective. An innovative multi-input approach based on the Convolutional Neural Network (CNN) is investigated to predict the power generation of a WEC system using a double-buoy oscillating body device (OBD). The results from the experimental data show that the proposed multi-input CNN performs much better at predicting results compared with the conventional artificial network and regression models. Through the power generation analysis of this double-buoy OBD, it shows that the power output has a positive correlation with the wave height when it is higher than 0.2 m, which becomes even stronger if the wave height is higher than 0.6 m. Furthermore, the proposed approach associated with the CNN algorithm in this study can potentially detect the changes that could be due to presence of anomalies and therefore be used for condition monitoring and fault diagnosis of marine energy converters. The results are also able to facilitate controlling of the electricity balance among energy conversion, wave power produced and storage.

show abstract

Optimal control of wave energy converters

Cited by 70 publications

References 10 publications

Wave Force Prediction Effect on the Energy Absorption of a Wave Energy Converter With Real-Time Control

Wave Force Prediction Effect on the Energy Absorption of a Wave Energy Converter With Real-Time Control

Multi-chamber oscillating water column wave energy converters and air turbines: A review

Prediction of Wave Power Generation Using a Convolutional Neural Network with Multiple Inputs

Contact Info

Product

Resources

About