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Case Study of a Short-Term Wave Energy Forecasting Scheme:North Indian Ocean

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Short-term forecasts of wave energy play a key role in the daily operation,maintenance planning,and electrical grid operation of power farms.In this study,we propose a short-term wave energy forecast scheme and use the North Indian Ocean(NIO)as a case study.Compared with the traditional forecast scheme,our proposed scheme considers more forecast elements.In addition to the traditional short-term forecast factors related to wave energy(wave power,significant wave height(SWH),wave period),our scheme emphasizes the forecast of a series of key factors that are closely related to the effectiveness of the energy output,capture efficiency,and conversion efficiency.These factors include the available rate,total storage,effective storage,co-occurrence of wave power-wave direction,co-occurrence of the SWH-wave period,and the wave energy at key points.In the regional nesting of nu-merical simulations of wave energy in the NIO,the selection of the southern boundary is found to have a significant impact on the simulation precision,especially during periods of strong swell processes of the South Indian Ocean(SIO)westerly.During tropical cyclone'VARDAH'in the NIO,as compared with the simulation precision obtained with no expansion of the southern boundary(scheme-1),when the southern boundary is extended to the tropical SIO(scheme-2),the improvement in simulation precision is sig-nificant,with an obvious increase in the correlation coefficient and decrease in error.In addition,the improvement is much more significant when the southern boundary extends to the SIO westerly(scheme-3).In the case of strong swell processes generated by the SIO westerly,the improvement obtained by scheme-3 is even more significant.

wave energyshort-term forecastregional nestingboundary condition

ZHENG Chongwei、SONG Hui

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Dalian Naval Academy,Dalian 116018,China

State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics,the Chinese Academy of Sciences,Beijing 100029,China

Shandong Provincial Key Laboratory of Ocean Engineering,Ocean University of China,Qingdao 266100,China

This work was supported by the open fund project of Shandong Provincial Key Laboratory of Ocean Engineer-ing,Ocean University ofMajor International(Regional)Joint Research Project of the National Science Foundation of China

kloe20190141520104008

2021

中国海洋大学学报(自然科学英文版)
中国海洋大学

中国海洋大学学报(自然科学英文版)

CSTPCDCSCDSCI
影响因子：0.268
ISSN：1672-5182
年,卷(期)：2021.20(3)
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