scholarly journals Device Selection of the Potential Wave Energy Site in Indonesian Seas

2019 ◽  
Vol 291 ◽  
pp. 012040
Author(s):  
B Triasdian ◽  
Y S Indartono ◽  
N S Ningsih ◽  
D Novitasari
Keyword(s):  
Wave Energy ◽  
Indonesian Seas ◽  
Potential Wave ◽  
Device Selection ◽  
Selection Of

A multi-criteria approach for selection of wave energy converter/location

Energy ◽  
2020 ◽  
Vol 204 ◽  
pp. 117924 ◽  
Author(s):  
Bahareh Kamranzad ◽  
Sanaz Hadadpour
Keyword(s):  
Wave Energy ◽  
Wave Energy Converter ◽  
Energy Converter ◽  
Selection Of

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 BIBLIOMETRIC STUDY APPLIED TO AN OVERTOPPING WAVE ENERGY CONVERTER DEVICE

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Maycon Da Silveira Paiva ◽  
Leonardo Da Silva Silveira ◽  
Liércio André Isoldi ◽  
Bianca Neves Machado
Keyword(s):  
Wave Energy ◽  
Electrical Energy ◽  
Wave Energy Converter ◽  
Bibliometric Study ◽  
Energy Converter ◽  
Statistical Tool ◽  
Online Databases ◽  
Bibliometric Methodology ◽  
Sea Wave ◽  
Selection Of

The present study aims to analyze the state of the art of scientific studies about the Overtopping device used to convert sea wave energy into electrical energy, by means the Bibliometric Methodology. The development of this study took place through the selection of articles from conference proceedings, as well as national and international journals. The Bibliometric methodology consists of a statistical tool that allows quantifying the measurement of production indexes. Using selected keywords, it was conducted a survey of studies in the online databases of Science Direct, SciELO and Google Scholar. The works found then went through a filtering process, in order to limit the bibliometric study only to studies about Overtopping devices as sea wave energy converter. Finally, the investigation of these selected articles was carried out under the optics of production and authorship study, content study and study of bibliographic references. Where it was identified growth in publications related to the topic, methodologies used and, among other indicators, the authors most cited in the analyzed articles. The predominant keywords used were “Wave Energy Converter” and “Overtopping”. It was noted that Brazilian universities are leaders in the productivity, presenting more than 36% of the scientific production regarding Overtopping WECs.

Corrigendum to “Numerical benchmarking study of a selection of wave energy converters” [Renew Energy 41 (2012) 44–63]

2015 ◽  
Vol 74 ◽  
pp. 955-957 ◽  
Author(s):  
A. Babarit ◽  
J. Hals ◽  
M.J. Muliawan ◽  
A. Kurniawan ◽  
T. Moan ◽  
...  
Keyword(s):  
Wave Energy ◽  
Wave Energy Converters ◽  
Selection Of ◽  
Energy Converters

Selection of design power of wave energy converters based on wave basin experiments

2011 ◽  
Vol 36 (11) ◽  
pp. 3124-3132 ◽  
Author(s):  
Luca Martinelli ◽  
Barbara Zanuttigh ◽  
Jens Peter Kofoed
Keyword(s):  
Wave Energy ◽  
Wave Energy Converters ◽  
Wave Basin ◽  
Design Power ◽  
Selection Of ◽  
Energy Converters

A New Classification of Wave Energy Converters Used for Selection of Devices

2018 ◽  
Vol 85 ◽  
pp. 1286-1290 ◽  
Author(s):  
M. Dolores Esteban ◽  
José-Santos López-Gutiérrez ◽  
Vicente Negro ◽  
Marcelo Laviña ◽  
Pedro Muñoz-Sánchez
Keyword(s):  
Wave Energy ◽  
New Classification ◽  
Wave Energy Converters ◽  
Selection Of ◽  
Energy Converters

Harnessing the kinetic and potential wave energy: Design and development of a new wave energy converter

2015 ◽  
pp. 367-374 ◽  
Author(s):  
P Rosa-Santos ◽  
F Taveira-Pinto ◽  
J Pinho-Ribeiro ◽  
L Teixeira ◽  
J Marinheiro
Keyword(s):  
Wave Energy ◽  
Wave Energy Converter ◽  
New Wave ◽  
Energy Converter ◽  
Design And Development ◽  
Potential Wave

scholarly journals Dimensioning Methodology of Energy Storage Systems for Power Smoothing in a Wave Energy Conversion Plant Considering Efficiency Maps and Filtering Control Techniques

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3380
Author(s):  
Jorge Torres ◽  
Marcos Blanco ◽  
Marcos Lafoz ◽  
Gustavo Navarro ◽  
Jorge Nájera ◽  
...  
Keyword(s):  
Power Generation ◽  
Energy Storage ◽  
Energy Conversion ◽  
Wave Energy ◽  
Storage Systems ◽  
Wave Energy Conversion ◽  
Energy Storage Systems ◽  
Control Techniques ◽  
Power Oscillations ◽  
Selection Of

This paper aims at presenting and describing a dimensioning methodology for energy storage systems (ESS), in particular for one based on flywheels, applied for the specific application of reducing power oscillation in a wave energy conversion (WEC) plant. The dimensioning methodology takes into account the efficiency maps of the storage technology as well as the effect of the filtering control techniques. The methodology is applied to the case study of a WEC plant in operation in Spain, using real power generation profiles delivered into the electric grid. The paper firstly describes the calculation procedure of the efficiency maps for the particular technology of flywheels, although it could be extended to other storage technologies. Then, the influence of using future data values in the dimensioning process and the control of the ESS operation is analysed in depth. A moving average filter (MAF) is defined to compensate for power oscillations, studying the difference between considering prediction and not doing so. It is concluded that a filtering control using future values based on a number of samples equivalent to a 4-min time order provides an important reduction in the energy storage requirements for a power generation plant. Finally, and based on the selection of storage modules previously defined, the efficiency maps, and the MAF used for delivering the power into the grid, an optimal operation strategy is suggested for the storage modules, based on a stepped switching technique. The selection of four flywheel energy storage system (FESS) modules achieves a reduction of 50% in power oscillations, covering 85% of the frequency excursions at the grid.

The Treatment Strategy and Device Selection of TAVR for Aortic Valve Stenosis

2012 ◽  
Vol 18 (10) ◽  
pp. S141
Author(s):  
Toru Kuratani ◽  
Kei Torikai ◽  
Kouichi Maeda ◽  
Isamu Mizote ◽  
Yasuharu Takeda ◽  
...  
Keyword(s):  
Aortic Valve ◽  
Aortic Valve Stenosis ◽  
Treatment Strategy ◽  
Device Selection ◽  
Selection Of
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