Abstract

Abstract. Assessment of wave power potential at different water depths and time is required for identifying a wave power plant location. This study examines the variation in wave power off the central west coast of India at water depths of 30, 9 and 5 m based on waverider buoy measured wave data. The study shows a significant reduction ( ∼ 10 to 27 %) in wave power at 9 m water depth compared to 30 m and the wave power available at 5 m water depth is 20 to 23 % less than that at 9 m. At 9 m depth, the seasonal mean value of the wave power varied from 1.6 kW m−1 in the post-monsoon period (ONDJ) to 15.2 kW m−1 in the Indian summer monsoon (JJAS) period. During the Indian summer monsoon period, the variation of wave power in a day is up to 32 kW m−1. At 9 m water depth, the mean annual wave power is 6 kW m−1 and interannual variations up to 19.3 % are observed during 2009–2014. High wave energy ( > 20 kW m−1) at the study area is essentially from the directional sector 245–270° and also 75 % of the total annual wave energy is from this narrow directional sector, which is advantageous while aligning the wave energy converter.

Highlights

  • The generation of electricity and heat is responsible for 41 % of the annual global carbon dioxide emissions from fuel combustion in 2011 (IEA, 2013)

  • Sanil Kumar and Anoop (2015) compared the significant wave height based on ERA-Interim and that estimated from a waverider buoy from June to August in the northern Arabian Sea and reported that the mean error is within 5 %

  • No significant reduction is observed in mean wave period (Tm02) at 9 m water depth (∼ 6.3 s) compared that at 30 m water depth (∼ 6 s) (Fig. 3b)

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Summary

Introduction

The generation of electricity and heat is responsible for 41 % of the annual global carbon dioxide emissions from fuel combustion in 2011 (IEA, 2013). Replacing the present energy sources with renewable energy sources can reduce the global carbon dioxide emissions significantly. The intercomparisons of measured energy period with ERA-Interim mean wave period suggest that the data of the latter show an encouraging agreement with the energy period (Contestabile et al, 2015). Sanil Kumar and Anoop (2015) compared the significant wave height based on ERA-Interim and that estimated from a waverider buoy from June to August in the northern Arabian Sea and reported that the mean error is within 5 %. It is important to know how the estimate of wave energy based on the reanalysis data differ from that obtained from measured data over an annual cycle

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