LAPSE:2023.29332
Published Article

LAPSE:2023.29332
Assessment of Offshore Wave Energy Resources in Taiwan Using Long-Term Dynamically Downscaled Winds from a Third-Generation Reanalysis Product
April 13, 2023
Abstract
In this study, long-term wind fields during 1991−2010 from the Climate Forecast System Reanalysis (CFSR) were dynamically downscaled over Taiwan and its offshore islands at a 5 km horizontal resolution using the Weather Research and Forecasting (WRF) model. Simulations of the 10 m (above sea level) dynamically downscaled winds served as the atmospheric forcing for driving a fully coupled wave-circulation model. The sea states of the waters surrounding Taiwan during 1991−2010 were hindcasted to evaluate the offshore wave energy resources and optimal wave energy hotspots. This study reveals that the southeastern offshore waters of Taiwan and the Central Taiwan Strait exhibited the highest mean wave power density (WPD), exceeding 20 kW/m. The annual mean WPD, incidence of the hourly WPD greater than or equal to 4 kW/m, monthly variability index and coefficient of variation of the WPD indicated that the sea areas located between Green Island and Orchid Island (OH_1), southeast of Orchid Island (OH_2), south of the Hengchun Peninsula (OH_3), and north of the Penghu Islands (OH_4) were the optimal hotspots for deploying wave energy converters. The most energetic months were October for OH_1 and OH_2 and November for OH_3 and OH_4, while the wave power was weak from March to June for OH_1, OH_2 and OH_3 and in May for OH_4. The wave direction is prevailingly east-northeast for OH_1, OH_2 and OH_3 and nearly northeast for OH_4. These phenomena reveal that wave power in the waters offshore Taiwan is induced primarily by the northeast (winter) monsoon. The exploitable annual WPD was estimated to be 158.06, 182.89, 196.39 and 101.33 MWh/m for OH_1, OH_2, OH_3 and OH_4, respectively.
In this study, long-term wind fields during 1991−2010 from the Climate Forecast System Reanalysis (CFSR) were dynamically downscaled over Taiwan and its offshore islands at a 5 km horizontal resolution using the Weather Research and Forecasting (WRF) model. Simulations of the 10 m (above sea level) dynamically downscaled winds served as the atmospheric forcing for driving a fully coupled wave-circulation model. The sea states of the waters surrounding Taiwan during 1991−2010 were hindcasted to evaluate the offshore wave energy resources and optimal wave energy hotspots. This study reveals that the southeastern offshore waters of Taiwan and the Central Taiwan Strait exhibited the highest mean wave power density (WPD), exceeding 20 kW/m. The annual mean WPD, incidence of the hourly WPD greater than or equal to 4 kW/m, monthly variability index and coefficient of variation of the WPD indicated that the sea areas located between Green Island and Orchid Island (OH_1), southeast of Orchid Island (OH_2), south of the Hengchun Peninsula (OH_3), and north of the Penghu Islands (OH_4) were the optimal hotspots for deploying wave energy converters. The most energetic months were October for OH_1 and OH_2 and November for OH_3 and OH_4, while the wave power was weak from March to June for OH_1, OH_2 and OH_3 and in May for OH_4. The wave direction is prevailingly east-northeast for OH_1, OH_2 and OH_3 and nearly northeast for OH_4. These phenomena reveal that wave power in the waters offshore Taiwan is induced primarily by the northeast (winter) monsoon. The exploitable annual WPD was estimated to be 158.06, 182.89, 196.39 and 101.33 MWh/m for OH_1, OH_2, OH_3 and OH_4, respectively.
Record ID
Keywords
dynamical downscaling, reanalysis product, Taiwanese waters, wave energy resource, WRF model
Subject
Suggested Citation
Hsiao SC, Cheng CT, Chang TY, Chen WB, Wu HL, Jang JH, Lin LY. Assessment of Offshore Wave Energy Resources in Taiwan Using Long-Term Dynamically Downscaled Winds from a Third-Generation Reanalysis Product. (2023). LAPSE:2023.29332
Author Affiliations
Hsiao SC: Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan City 70101, Taiwan [ORCID]
Cheng CT: National Science and Technology Center for Disaster Reduction, New Taipei City 23143, Taiwan
Chang TY: National Science and Technology Center for Disaster Reduction, New Taipei City 23143, Taiwan
Chen WB: National Science and Technology Center for Disaster Reduction, New Taipei City 23143, Taiwan [ORCID]
Wu HL: Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan City 70101, Taiwan
Jang JH: Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan City 70101, Taiwan [ORCID]
Lin LY: Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan City 70101, Taiwan
Cheng CT: National Science and Technology Center for Disaster Reduction, New Taipei City 23143, Taiwan
Chang TY: National Science and Technology Center for Disaster Reduction, New Taipei City 23143, Taiwan
Chen WB: National Science and Technology Center for Disaster Reduction, New Taipei City 23143, Taiwan [ORCID]
Wu HL: Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan City 70101, Taiwan
Jang JH: Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan City 70101, Taiwan [ORCID]
Lin LY: Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan City 70101, Taiwan
Journal Name
Energies
Volume
14
Issue
3
First Page
653
Year
2021
Publication Date
2021-01-28
ISSN
1996-1073
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Original Submission
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PII: en14030653, Publication Type: Journal Article
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LAPSE:2023.29332
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https://doi.org/10.3390/en14030653
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