ABSTRACT:

The hindcast wave data is widely used to assess the wave energy for the offshore region. In order to obtain the wave climates for nearshore region, numerical simulations were conducted for the representative waves or every wave climates conditions. While the former have a tendency to underestimate the wave energy, the latter needs enormous computational efforts. In this study, we suggest the simplified method to correct the nearshore wave power obtained by the numerical simulation with respect to representative wave by multiplying the correction factor. The correction factor is derived explicitly in terms of cross-correlation and the coefficients of variation.

INTRODUCTION

With limited domestic energy resources, South Korea is almost entirely dependent on imports to meet its energy consumption needs. South Korea is one of the largest net importers of oil in the world and a major importer of liquefied natural gas (LNG). Recently, global warming, the Kyoto Protocol, and the rising cost of electricity generation have aroused interest in renewable ocean energy in South Korea. Wave energy is a renewable energy source with high power density, low visual impact, and presumed low impact on the environment compared to other renewable sources. In particular, the wave energy is being increasingly regarded as a major and promising resource in South Korea because the Korean peninsula is surrounded on all sides by Yellow Sea, East China Sea and East Sea. An assessment of the wave energy resources is not only a basic prerequisite for the planning of its utilization and the selection of available sites but also an important requirement for choosing the most appropriate wave energy converter for the area and designing the converter's capacity. The offshore wave energy can be assessed by hindcast wave data, which provide the temporally consistent and full spatial coverage required for wave energy assessment.

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