scholarly journals Investigation of suitable sites for Wave Energy Converters around Sicily (Italy)

2015 ◽  
Vol 12 (1) ◽  
pp. 315-354 ◽  
Author(s):  
C. Iuppa ◽  
L. Cavallaro ◽  
D. Vicinanza ◽  
E. Foti
Keyword(s):  
Wave Energy ◽  
Hot Spot ◽  
Energy Concentration ◽  
Generation Model ◽  
Computational Domain ◽  
Weather Forecasts ◽  
Wave Energy Converters ◽  
Western Side ◽  
High Wave Energy ◽  
Energy Converters

Abstract. An analysis of wave energy along the coasts of Sicily (Italy) is presented with the aim of selecting possible sites for the implementation of Wave Energy Converters (WECs). The analysis focuses on the selection of hot-spot-areas of energy concentration. A third-generation model was adopted to reconstruct the wave data along the coast over a period of 14 years. The reconstruction was performed using the wave and wind data from the European Centre for Medium-Range Weather Forecasts. The analysis of wave energy allowed us to characterise the most energetic zones, which are located on the western side of Sicily and on the Strait of Sicily. Moreover, the estimate of the annual wave power on the entire computational domain identified eight interesting sites. The main features of the sites include relatively high wave energy and proximity to the coast, which may be possible sites for the implementation of WEC farms.

scholarly journals Investigation of suitable sites for wave energy converters around Sicily (Italy)

Ocean Science ◽  
2015 ◽  
Vol 11 (4) ◽  
pp. 543-557 ◽  
Author(s):  
C. Iuppa ◽  
L. Cavallaro ◽  
D. Vicinanza ◽  
E. Foti
Keyword(s):  
Wave Energy ◽  
Energy Concentration ◽  
Generation Model ◽  
Computational Domain ◽  
Weather Forecasts ◽  
Wave Energy Converters ◽  
Western Side ◽  
High Wave Energy ◽  
Selection Of ◽  
Energy Converters

Abstract. An analysis of wave energy along the coasts of Sicily (Italy) is presented with the aim of selecting possible sites for the implementation of wave energy converters (WECs). The analysis focuses on the selection of hotspot areas of energy concentration. A third-generation model was adopted to reconstruct the wave data along the coast over a period of 14 years. The reconstruction was performed using the wave and wind data from the European Centre for Medium-Range Weather Forecasts. The analysis of wave energy allowed us to characterise the most energetic zones, which are located on the western side of Sicily and on the Strait of Sicily. Moreover, the estimate of the annual wave power on the entire computational domain identified eight interesting sites. The main features of the sites include relatively high wave energy and proximity to the coast, which makes them possible sites for the implementation of WEC farms.

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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