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Ocean Dynamics

, Volume 69, Issue 5, pp 543–560 | Cite as

Consistency of wave power at a location in the coastal waters of central eastern Arabian Sea

  • M. M. Amrutha
  • V. Sanil KumarEmail author
  • Harsha Bhaskaran
  • Muhammed Naseef
Article

Abstract

Wave energy assessment at a regional scale is required for planning installation of wave energy converters. Based on continuously measured wave data at 14-m water depth in the central eastern Arabian Sea from January 2011 to December 2017, the temporal distribution of wave power potential is studied in detail along with statistical analysis of the wave power and wave parameters. Long-term variability in wave power is examined based on reanalysis data from 1979 to 2017. The study also evaluates the wave power technologies, such as Oyster, WaveDragon, and WaveStar for the study location. Significant inter-annual variations in the wave power are observed from June to September due to the fluctuations in the Indian summer monsoon. The annual mean wave power is 7.85 kW/m with year-to-year variability up to 13% from 2011 to 2017. During 24.7% of the time (~ 90 days) in a year, the wave power is more than 10 kW/m and is less than 5 kW/m during 68% of the time in a year. Most (90.4%) of the available wave power is from a narrow band between west and southwest. A spatial variability of ~ 12% in the annual mean wave power is observed along the central eastern Arabian Sea based on the measured wave data at three locations in 14–15-m water depth. The study shows that WaveDragon and WaveStar energy converter produces the electric power during 81 and 85% of the time in a year, whereas Oyster gives output during 59% of the time. The capacity factor of WaveStar is high (27–34%) for the study area compared with other technologies considered in the study.

Keywords

Renewable energy Ocean energy Wave power potential North Indian Ocean Resource assessment Wave energy converters 

Notations and abbreviations

CSIR

Council of Scientific and Industrial Research, New Delhi

CT

consistency index

DWR

Directional WaveRider

ECMWF

European Centre for Medium-Range Weather Forecasts

ERA5

fifth generation ECMWF climate reanalysis data

FFT

fast Fourier transform

RMSE

root mean square error

SI

RMSE relative to the mean value

UTC

coordinated universal time

WEC

wave energy converter

θ

wave direction

Cg (f,d)

group velocity

d

water depth

f

frequency

g

gravitational acceleration

Hs

significant wave height

mn

nth order spectral moment

S(f)

wave spectral energy density

S(f,θ)

directional wave spectral energy density

Te

wave energy period

Tm02

mean wave period

Tp

peak wave period

Notes

Acknowledgments

The Director of National Institute of Oceanography, India (CSIR-NIO) provided facilities to carry out the research. The measurements at Vengurla were supported by the Council of Scientific and Industrial Research, New Delhi (CSIR). Assistance during the data collection was provided by Shri Jai Singh and Shri Arun Nherakkol. We thank the reviewer and the Editor for the suggestions, which improved the scientific content of this paper. This work is done as part of the Doctoral thesis of the first author registered with Bharathidasan University, Tiruchirappalli and is CSIR-NIO Contribution 6378.

Funding information

Measured buoy data at Ratnagiri and Karwar used in the study are from the project funded by the Ministry of Earth Sciences, New Delhi through Indian National Centre for Ocean Information Services, Hyderabad. The first author wishes to acknowledge CSIR for the award of Senior Research Fellowship.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Ocean Engineering DivisionCSIR-National Institute of Oceanography (Council of Scientific & Industrial Research)Dona PaulaIndia
  2. 2.Bharathidasan UniversityTiruchirappalliIndia

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