Developments, expectations of wave energy converters and mooring anchors in the UK

2008 ◽  
Vol 7 (1) ◽  
pp. 10-16 ◽  
Author(s):  
Ming Huang ◽  
G. A. Aggidis
Keyword(s):  
Wave Energy ◽  
Wave Energy Converters ◽  
The Uk ◽  
Energy Converters

Development of a Novel Floater to Power Take-Off Connection for Wave Energy Converters Based on a Belt-Pulley System

2017 ◽  
Author(s):  
Robin Kusch ◽  
Mohammad Rahmati ◽  
Jan P. Peckolt ◽  
Jan Pütz ◽  
Julius Schay
Keyword(s):  
Wave Energy ◽  
Theoretical Background ◽  
Development Project ◽  
Commercial Development ◽  
Pulley System ◽  
Design And Optimization ◽  
Wave Energy Converters ◽  
Pulling Force ◽  
The Uk ◽  
Energy Converters

While renewable energy is generally considered to be a well-researched field, wave energy converters (WECs) are still in early industrial stages, for example due to high costs, even though the potential of WECs in countries such as the UK is very high. Apart from the power plant location, the amount of power generated by a wave energy converter is also highly influenced by the efficiency of both the energy transfer from the wave to the plant’s generator and the power take-off (PTO) itself. Improving on any of these aspects therefore increases the power output and economic attractiveness. Based on a commercial development project by the NEMOS GmbH in Germany, this paper presents a more efficient means of connecting a floater and a rotary PTO based on a free traction mechanism consisting of a custom belt and matching pulley. In addition to regular longitudinal forces, the belt system can transfer transversal forces of up to 14 % of its pulling force and allowing run-in angles up to 8°. First tests show an average efficiency to 99.6 % in wet conditions. The paper lays out the theoretical background of the new design and discusses existing alternatives, before detailing the taken approach to design and optimization. The results are validated and compared to an existing rope design and a benchmark flat belt.

scholarly journals Switching sequences for non-predictive declutching control of wave energy converters

2020 ◽  
Vol 53 (2) ◽  
pp. 12295-12300
Author(s):  
Paula B. Garcia-Rosa ◽  
Olav B. Fosso ◽  
Marta Molinas
Keyword(s):  
Wave Energy ◽  
Wave Energy Converters ◽  
Energy Converters

scholarly journals Layout optimization of heaving Wave Energy Converters linear arrays in front of a vertical wall

2021 ◽  
Author(s):  
Eva Loukogeorgaki ◽  
Constantine Michailides ◽  
George Lavidas ◽  
Ioannis K. Chatjigeorgiou
Keyword(s):  
Wave Energy ◽  
Vertical Wall ◽  
Layout Optimization ◽  
Linear Arrays ◽  
Wave Energy Converters ◽  
Energy Converters

scholarly journals Model Predictive Control for Wave Energy Converters: A Moving Window Blocking Approach

2020 ◽  
Vol 53 (2) ◽  
pp. 12815-12821
Author(s):  
Juan Guerrero-Fernández ◽  
Oscar J. González-Villarreal ◽  
John Anthony Rossiter ◽  
Bryn Jones
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Wave Energy ◽  
Moving Window ◽  
Wave Energy Converters ◽  
Energy Converters

Design of a new turbine for OWC Wave Energy Converters: the DDT concept

2020 ◽  
Author(s):  
Manuel García-Díaz ◽  
Bruno Pereiras ◽  
Celia Miguel-González ◽  
Laudino Rodríguez ◽  
Jesús Fernández-Oro
Keyword(s):  
Wave Energy ◽  
Wave Energy Converters ◽  
Energy Converters

scholarly journals HF Radars for Wave Energy Resource Assessment Offshore NW Spain

2021 ◽  
Vol 13 (11) ◽  
pp. 2070
Author(s):  
Ana Basañez ◽  
Vicente Pérez-Muñuzuri
Keyword(s):  
Wave Energy ◽  
Numerical Models ◽  
Wave Spectrum ◽  
Energy Resource ◽  
Electrical Energy ◽  
Resource Assessment ◽  
Electricity Production ◽  
Statistical Validation ◽  
Wave Energy Converters ◽  
Energy Converters

Wave energy resource assessment is crucial for the development of the marine renewable industry. High-frequency radars (HF radars) have been demonstrated to be a useful wave measuring tool. Therefore, in this work, we evaluated the accuracy of two CODAR Seasonde HF radars for describing the wave energy resource of two offshore areas in the west Galician coast, Spain (Vilán and Silleiro capes). The resulting wave characterization was used to estimate the electricity production of two wave energy converters. Results were validated against wave data from two buoys and two numerical models (SIMAR, (Marine Simulation) and WaveWatch III). The statistical validation revealed that the radar of Silleiro cape significantly overestimates the wave power, mainly due to a large overestimation of the wave energy period. The effect of the radars’ data loss during low wave energy periods on the mean wave energy is partially compensated with the overestimation of wave height and energy period. The theoretical electrical energy production of the wave energy converters was also affected by these differences. Energy period estimation was found to be highly conditioned to the unimodal interpretation of the wave spectrum, and it is expected that new releases of the radar software will be able to characterize different sea states independently.

scholarly journals Hardware-in-the-Loop Validation of Model Predictive Control of a Discrete Fluid Power Power Take-Off System for Wave Energy Converters

Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3668
Author(s):  
Anders H. Hansen ◽  
Magnus F. Asmussen ◽  
Michael M. Bech
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Wave Energy ◽  
Fluid Power ◽  
Wave Power ◽  
Reactive Control ◽  
Power Extraction ◽  
Wave Energy Converters ◽  
Extraction Algorithm ◽  
Energy Converters

Model predictive control based wave power extraction algorithms have been developed and found promising for wave energy converters. Although mostly proven by simulation studies, model predictive control based algorithms have shown to outperform classical wave power extraction algorithms such as linear damping and reactive control. Prediction models and objective functions have, however, often been simplified a lot by for example, excluding power take-off system losses. Furthermore, discrete fluid power forces systems has never been validated experimentally in published research. In this paper a model predictive control based wave power extraction algorithm is designed for a discrete fluid power power take-off system. The loss models included in the objective function are based on physical models of the losses associated with discrete force shifts and throttling. The developed wave power extraction algorithm directly includes the quantized force output and the losses models of the discrete fluid power system. The experimental validation of the wave power extraction algorithm developed in the paper shown an increase of 14.6% in yearly harvested energy when compared to a reactive control algorithm.

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