Identification and quantification of Atlántico-Colombia shore potential wave energy

2017 ◽  
Author(s):  
Jaime Perez Zapata ◽  
Wilson Becerra Colpas
Keyword(s):  
Wave Energy ◽  
Potential Wave ◽  
Identification And Quantification

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 Wave Energy Potential for Development of Renewable Energy in Riau Archipelago Province

Omni-Akuatika ◽  
2020 ◽  
Vol 16 (3) ◽  
pp. 61
Author(s):  
Risandi Dwirama Putra ◽  
Ibnu Kahfi Bachtiar ◽  
Tri Nur Cahyo ◽  
Mario Putra Suhana ◽  
Oksto Ridho Sianturi ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power Density ◽  
Wave Energy ◽  
Alternative Energy ◽  
Industrial Development ◽  
Wave Power ◽  
Energy Potential ◽  
Suitable Alternative ◽  
Potential Wave ◽  
Wave Power Density

Energy and electricity demand in Riau Islands is increasing rapidly due to the fast-growing population, urbanization, industrial development, and economic growth. The limitations of energy and electricity in the Riau Islands caused frequent blackouts. To support the high demand for energy and electricity in the Riau Islands, renewable energy is the most suitable alternative energy solution. Renewable energy is not only playing a key role in providing energy but also providing long-term clean and sustainable energy. We investigated the wave energy potential in the Riau Islands Sea in four different consecutive monsoons (North monsoon, East monsoon, South Monsoon and West Monsoon) using ECMWF data during January 2018 to December 2018 with 0.125o x 0.125o and 6 hourly spatial and temporal resolutions. We extracted bathymetry data from NOAA’s database ETOPO1 and forecasting wave characteristics use the SPM (Shore Protection Manual) method. The potential wave energy simulation from significant wave height (Hs) and energy period (Te) was shown in spatial distribution based on different monsoon. Our studies found that the potential wave energy was higher in north monsoon with maximum spatial of wave power density 3.240 – 3.640 kW.m-1. The east monsoon tended to be lower potential wave energy with dominance of wave power density at 0 – 0.127 kW.m-1. Keywords: wave power density, potential wave energy, ECWFM, monsoon

A systematic approach for selecting suitable wave energy converters for potential wave energy farm sites

2020 ◽  
Vol 132 ◽  
pp. 110011 ◽  
Author(s):  
D.V. Bertram ◽  
A.H. Tarighaleslami ◽  
M.R.W. Walmsley ◽  
M.J. Atkins ◽  
G.D.E. Glasgow
Keyword(s):  
Wave Energy ◽  
Systematic Approach ◽  
Potential Wave ◽  
Wave Energy Converters ◽  
Energy Converters

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

Wave Modelling for Potential Wave Energy Sites Around the Outer Hebrides

2013 ◽  
Author(s):  
Charles E. Greenwood ◽  
Vengatesan Venugopal ◽  
David Christie ◽  
James Morrison ◽  
Arne Vögler
Keyword(s):  
Wave Energy ◽  
Energy Resource ◽  
Wave Model ◽  
Storm Events ◽  
Wave Modelling ◽  
Calibration Process ◽  
Potential Wave ◽  
Current Profiler ◽  
Outer Hebrides ◽  
Near Shore

This paper presents the results of a numerical wave modelling study carried out to assess the near shore wave energy resource around potential wave energy sites at the Outer Hebrides in the United Kingdom. This study uses Danish Hydraulic Institute’s MIKE 21 Spectral Wave model suite. Input boundary conditions are obtained from a Datawell directional wave buoy located approximately 16 km off the coast of Lewis in 60 metre depth. Additional data collected from a submerged Acoustic Wave and Current profiler (AWAC) located at 13 metre depth offshore at one of the wave energy development sites was used to calibrate and validate the wave model for separate time periods. The calibration process allows the manipulation of white capping, bottom friction and wave breaking parameters to alter the energy dissipation across the model domain. The altered parameters gave a significantly better agreement between modelled and measured results than the model defaults. While the average wave conditions provided a relatively straightforward calibration process the more extreme storm events significantly under predicted the wave height. After several trials in altering model coefficients a good agreement was reached between the model results and the AWAC data. These new sets of calibration parameters enable the simulation of wave heights within 13% for the AWAC data and marginally more for wave periods for the first 6 months of 2012.

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