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Proceedings of The Fifteenth (2005) International Offshore and Polar Engineering Conference Seoul, Korea, June 19−24, 2005 Copyright © 2005 by The International Society of Offshore and Polar Engineers ISBN 1-880653-64-8 (Set); ISSN 1098-6189 (Set) Investigation of Seasonal Variation of Wave Energy Density around Jeju Sea based on Long-Term Simulated Wave Data Keyyong Hong, Seung-Ho Shin, Seok-Won Hong Ocean Development System Research Division, Korea Research Institute of Ships and Ocean Engineering, KORDI, Daejeon, Korea Hwangjin Ryu Department of Naval Architecture and Ocean Engineering, Hongik University, Yeongi-Gun, Chungcheongnam-Do, Korea shortage in resource owing to the excessive use of fossil fuels. The wave energy is also renewable, which is easily available at most of coastal waters. However, the serious disadvantage of high cost of wave power generation makes the practical use of wave power difficult. Though its cost has gone down along with technical advance in wave power generation, the wave power generation still costs much higher than other power generations based on fuel fossils. ABSTRACT Wave power distribution is investigated to find out the optimal sites for wave power generation at Jeju sea which is considered to contain the highest wave energy density in Korean coastal waters. The spatial and seasonal variation of wave power per unit length is calculated in Jeju sea area based on monthly mean wave data from 1979 to 2002 which was produced by SWAN wave model simulation. The selected favorable locations for wave power generation are compared in terms of magnitude of wave energy density and distribution characteristics of wave parameters, suggesting that Chagui-Do is the most optimal site for wave power generation at Jeju sea. The seasonal distribution of wave energy density reveals that the highest wave energy density occurs at northwest sea in the winter and it is dominated by wind waves, while the second highest one happens at south sea in the summer and it is dominated by swell sea. The annual average of wave energy density gradually increases from east to west of Jeju sea. At Chagui-Do, the energy density of swell sea is relatively uniform while the energy density of wind waves is fluctuating. The distribution of wave directions implies that except the rear region of island influenced by wave refraction, the northwest wave direction is dominant in summer and the southeast in winter. Wave periods are longer in summer and winter and it appears relatively longer at the west sea of Jeju than east's. The longest wave period occurs at the west sea in winter, and in summer it appears relatively homogeneous with a little longer period at the south sea. The economic efficiency of wave power generation is greatly subject to wave power density at the installation site though other parameters such as mechanical efficiency of wave energy converter, construction expense and operation cost are also significant. Therefore the accurate understanding of the wave energy distribution at the target sea area is important for cost-effective wave power generation. This study aims to find out the detail characteristics of wave power distribution at Jeju sea which is considered to have the highest average wave energy density in Korean coastal region and where the installation of an OWC(oscillating water column) wave energy converter is planned. Eventually, we try to identify an optimal site for wave power generation around Jeju sea by investigating wave height, wave period and direction in terms of their monthly averages and seasonal variations. Since the wave power is given as a function of wave height and period, those parameters are directly related to the efficiency of wave power generation. In addition, because the operation of wave energy converter has an optimal direction in general, wave direction plays an important role in overall efficiency of wave power generation, too. The wave parameters in the ocean vary depending on location and time and thus both spatial average and periodical variation of wave properties should be considered for the selection of optimal location for wave power generation. KEY WORDS: Wave energy density; wave power distribution; wave climate; wave hindcasting; SWAN(Simulating Waves Nearshore) wave model; Jeju sea Song et al.(2004) analyzed the wave characteristics at Korean costal water based on long-term wave data generated by Jeon et al.(2003) using the HYPA wave model with relatively large mesh of 15km. They showed that the coastal area of Jeju, which is the southern island of Korean peninsula, has the highest average wave energy density in Korean coastal region. Ryu et al.(2004) investigated the spatial and INTRODUCTION Ocean waves are considered to be one of the most important alternative energy resources that can overcome the environmental harm and the 485