Wave power

About: Wave power is a research topic. Over the lifetime, 2671 publications have been published within this topic receiving 41439 citations. The topic is also known as: wind wave energy & sea wave energy.

A Methodology for Large-Scale Ocean Wave Power Time-Series Generation

Abstract: Ocean wave power is characterized by high power density, and wave forecasts can predict incident wave energy days in advance. These qualities make ocean wave power a promising renewable energy source. In the near future, utility-scale wave energy conversion arrays will likely be installed. However, little is currently known on the impact of large wave energy conversion (WEC) facilities on utility operation and planning. In this paper, a methodology is developed for generating WEC array power time series that can be used for wave power utility integration purposes. Sample results show that the methodology produces first-order approximations of WEC array outputs and demonstrate that significant smoothing of the total wave power output from an array can be expected.

Sea wave power generator

Abstract: A power generator, utilizing sea waves as a motivating mechanism, having a rotatable paddle wheel arranged to rotate a propeller shaft, includes a gathering platform to guide incoming wave propelled sea water in an overshot flow onto the paddle wheel and discharging the same into a catch basin which releases impounded sea water, on the wave recession, in an undershot paddle wheel flow to utilize both the incoming and outgoing sea waves as a source of power for the generator.

Resonant backscatter from the sea and its application to physical oceanography

Abstract: Experimental observations of sea wave power spectra, currents, wave directions, and growth of waves with fetch, made with a high-frequency, ground wave radar are outlined. Areas of expected development are discussed.

Wave Climate Resource Analysis Based on a Revised Gamma Spectrum for Wave Energy Conversion Technology

Abstract: In order to correctly predict and evaluate the response of wave energy converters (WECs), an accurate representation of wave climate resource is crucial. This paper gives an overview of wave resource modeling techniques and applies a methodology to estimate the naturally available and technically recoverable resource in a given deployment site. The methodology was initially developed by the Electric Power Research Institute (EPRI), which uses a modified gamma spectrum to interpret sea state hindcast parameter data produced by National Oceanic and Atmospheric Administration’s (NOAA’s) WaveWatch III. This gamma spectrum is dependent on the calibration of two variables relating to the spectral width parameter and spectral peakedness parameter. In this study, this methodology was revised by the authors to increase its accuracy in formulating wavelength. The revised methodology shows how to assess a given geographic area’s wave resource based on its wave power density and total annual wave energy flux.