IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i3p653-d488462.html
   My bibliography  Save this article

Assessment of Offshore Wave Energy Resources in Taiwan Using Long-Term Dynamically Downscaled Winds from a Third-Generation Reanalysis Product

Author

Listed:
  • Shih-Chun Hsiao

    (Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan City 70101, Taiwan)

  • Chao-Tzuen Cheng

    (National Science and Technology Center for Disaster Reduction, New Taipei City 23143, Taiwan)

  • Tzu-Yin Chang

    (National Science and Technology Center for Disaster Reduction, New Taipei City 23143, Taiwan)

  • Wei-Bo Chen

    (National Science and Technology Center for Disaster Reduction, New Taipei City 23143, Taiwan)

  • Han-Lun Wu

    (Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan City 70101, Taiwan)

  • Jiun-Huei Jang

    (Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan City 70101, Taiwan)

  • Lee-Yaw Lin

    (Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan City 70101, Taiwan)

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.

Suggested Citation

  • Shih-Chun Hsiao & Chao-Tzuen Cheng & Tzu-Yin Chang & Wei-Bo Chen & Han-Lun Wu & Jiun-Huei Jang & Lee-Yaw Lin, 2021. "Assessment of Offshore Wave Energy Resources in Taiwan Using Long-Term Dynamically Downscaled Winds from a Third-Generation Reanalysis Product," Energies, MDPI, vol. 14(3), pages 1-25, January.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:3:p:653-:d:488462
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/3/653/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/3/653/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kamranzad, Bahareh & Etemad-Shahidi, Amir & Chegini, Vahid, 2017. "Developing an optimum hotspot identifier for wave energy extracting in the northern Persian Gulf," Renewable Energy, Elsevier, vol. 114(PA), pages 59-71.
    2. Boronowski, Susan & Wild, Peter & Rowe, Andrew & Cornelis van Kooten, G., 2010. "Integration of wave power in Haida Gwaii," Renewable Energy, Elsevier, vol. 35(11), pages 2415-2421.
    3. Su, Wen-Ray & Chen, Hongey & Chen, Wei-Bo & Chang, Chih-Hsin & Lin, Lee-Yaw & Jang, Jiun-Huei & Yu, Yi-Chiang, 2018. "Numerical investigation of wave energy resources and hotspots in the surrounding waters of Taiwan," Renewable Energy, Elsevier, vol. 118(C), pages 814-824.
    4. Gonçalves, Marta & Martinho, Paulo & Guedes Soares, C., 2020. "Wave energy assessment based on a 33-year hindcast for the Canary Islands," Renewable Energy, Elsevier, vol. 152(C), pages 259-269.
    5. Wei-Bo Chen & Hongey Chen & Lee-Yaw Lin & Yi-Chiang Yu, 2017. "Tidal Current Power Resources and Influence of Sea-Level Rise in the Coastal Waters of Kinmen Island, Taiwan," Energies, MDPI, vol. 10(5), pages 1-15, May.
    6. Reguero, B.G. & Losada, I.J. & Méndez, F.J., 2015. "A global wave power resource and its seasonal, interannual and long-term variability," Applied Energy, Elsevier, vol. 148(C), pages 366-380.
    7. López, Iraide & Andreu, Jon & Ceballos, Salvador & Martínez de Alegría, Iñigo & Kortabarria, Iñigo, 2013. "Review of wave energy technologies and the necessary power-equipment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 413-434.
    8. Hung-Ju Shih & Chih-Hsin Chang & Wei-Bo Chen & Lee-Yaw Lin, 2018. "Identifying the Optimal Offshore Areas for Wave Energy Converter Deployments in Taiwanese Waters Based on 12-Year Model Hindcasts," Energies, MDPI, vol. 11(3), pages 1-21, February.
    9. Doyle, Simeon & Aggidis, George A., 2019. "Development of multi-oscillating water columns as wave energy converters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 75-86.
    10. Sierra, J.P. & Mösso, C. & González-Marco, D., 2014. "Wave energy resource assessment in Menorca (Spain)," Renewable Energy, Elsevier, vol. 71(C), pages 51-60.
    11. Arinaga, Randi A. & Cheung, Kwok Fai, 2012. "Atlas of global wave energy from 10 years of reanalysis and hindcast data," Renewable Energy, Elsevier, vol. 39(1), pages 49-64.
    12. Zhou, Guoqing & Huang, Jingjin & Zhang, Guangyun, 2015. "Evaluation of the wave energy conditions along the coastal waters of Beibu Gulf, China," Energy, Elsevier, vol. 85(C), pages 449-457.
    13. Neill, Simon P. & Vögler, Arne & Goward-Brown, Alice J. & Baston, Susana & Lewis, Matthew J. & Gillibrand, Philip A. & Waldman, Simon & Woolf, David K., 2017. "The wave and tidal resource of Scotland," Renewable Energy, Elsevier, vol. 114(PA), pages 3-17.
    14. Tunde Aderinto & Hua Li, 2018. "Ocean Wave Energy Converters: Status and Challenges," Energies, MDPI, vol. 11(5), pages 1-26, May.
    15. Mirzaei, Ali & Tangang, Fredolin & Juneng, Liew, 2015. "Wave energy potential assessment in the central and southern regions of the South China Sea," Renewable Energy, Elsevier, vol. 80(C), pages 454-470.
    16. Sierra, J.P. & Casas-Prat, M. & Campins, E., 2017. "Impact of climate change on wave energy resource: The case of Menorca (Spain)," Renewable Energy, Elsevier, vol. 101(C), pages 275-285.
    17. Lavidas, George & Venugopal, Vengatesan, 2017. "A 35 year high-resolution wave atlas for nearshore energy production and economics at the Aegean Sea," Renewable Energy, Elsevier, vol. 103(C), pages 401-417.
    18. Fairley, Iain & Lewis, Matthew & Robertson, Bryson & Hemer, Mark & Masters, Ian & Horrillo-Caraballo, Jose & Karunarathna, Harshinie & Reeve, Dominic E., 2020. "A classification system for global wave energy resources based on multivariate clustering," Applied Energy, Elsevier, vol. 262(C).
    19. Reduan Atan & Jamie Goggins & Stephen Nash, 2016. "A Detailed Assessment of the Wave Energy Resource at the Atlantic Marine Energy Test Site," Energies, MDPI, vol. 9(11), pages 1-29, November.
    20. Pérez-Collazo, C. & Greaves, D. & Iglesias, G., 2015. "A review of combined wave and offshore wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 141-153.
    21. Wei-Bo Chen & Wen-Cheng Liu, 2016. "Assessment of storm surge inundation and potential hazard maps for the southern coast of Taiwan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(1), pages 591-616, May.
    22. Amarouche, Khalid & Akpınar, Adem & Bachari, Nour El Islam & Houma, Fouzia, 2020. "Wave energy resource assessment along the Algerian coast based on 39-year wave hindcast," Renewable Energy, Elsevier, vol. 153(C), pages 840-860.
    23. Lin, Yifan & Dong, Sheng & Wang, Zhifeng & Guedes Soares, C., 2019. "Wave energy assessment in the China adjacent seas on the basis of a 20-year SWAN simulation with unstructured grids," Renewable Energy, Elsevier, vol. 136(C), pages 275-295.
    24. Rute Bento, A. & Martinho, Paulo & Guedes Soares, C., 2015. "Numerical modelling of the wave energy in Galway Bay," Renewable Energy, Elsevier, vol. 78(C), pages 457-466.
    25. Gunn, Kester & Stock-Williams, Clym, 2012. "Quantifying the global wave power resource," Renewable Energy, Elsevier, vol. 44(C), pages 296-304.
    26. Yong Wan & Chenqing Fan & Jie Zhang & Junmin Meng & Yongshou Dai & Ligang Li & Weifeng Sun & Peng Zhou & Jing Wang & Xudong Zhang, 2017. "Wave Energy Resource Assessment off the Coast of China around the Zhoushan Islands," Energies, MDPI, vol. 10(9), pages 1-25, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liu, Jin & Meucci, Alberto & Liu, Qingxiang & Babanin, Alexander V. & Ierodiaconou, Daniel & Xu, Xingkun & Young, Ian R., 2023. "A high-resolution wave energy assessment of south-east Australia based on a 40-year hindcast," Renewable Energy, Elsevier, vol. 215(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hung-Ju Shih & Chih-Hsin Chang & Wei-Bo Chen & Lee-Yaw Lin, 2018. "Identifying the Optimal Offshore Areas for Wave Energy Converter Deployments in Taiwanese Waters Based on 12-Year Model Hindcasts," Energies, MDPI, vol. 11(3), pages 1-21, February.
    2. Shi, Xueli & Liang, Bingchen & Du, Shengtao & Shao, Zhuxiao & Li, Shaowu, 2022. "Wave energy assessment in the China East Adjacent Seas based on a 25-year wave-current interaction numerical simulation," Renewable Energy, Elsevier, vol. 199(C), pages 1381-1407.
    3. Su, Wen-Ray & Chen, Hongey & Chen, Wei-Bo & Chang, Chih-Hsin & Lin, Lee-Yaw & Jang, Jiun-Huei & Yu, Yi-Chiang, 2018. "Numerical investigation of wave energy resources and hotspots in the surrounding waters of Taiwan," Renewable Energy, Elsevier, vol. 118(C), pages 814-824.
    4. Masoud, Alaa A., 2022. "On the Nile Fan's wave power potential and controlling factors integrating spectral and geostatistical techniques," Renewable Energy, Elsevier, vol. 196(C), pages 921-945.
    5. Lin, Yifan & Dong, Sheng & Wang, Zhifeng & Guedes Soares, C., 2019. "Wave energy assessment in the China adjacent seas on the basis of a 20-year SWAN simulation with unstructured grids," Renewable Energy, Elsevier, vol. 136(C), pages 275-295.
    6. Takvor H. Soukissian & Dimitra Denaxa & Flora Karathanasi & Aristides Prospathopoulos & Konstantinos Sarantakos & Athanasia Iona & Konstantinos Georgantas & Spyridon Mavrakos, 2017. "Marine Renewable Energy in the Mediterranean Sea: Status and Perspectives," Energies, MDPI, vol. 10(10), pages 1-56, September.
    7. Cuadra, L. & Salcedo-Sanz, S. & Nieto-Borge, J.C. & Alexandre, E. & Rodríguez, G., 2016. "Computational intelligence in wave energy: Comprehensive review and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1223-1246.
    8. Morim, Joao & Cartwright, Nick & Etemad-Shahidi, Amir & Strauss, Darrell & Hemer, Mark, 2016. "Wave energy resource assessment along the Southeast coast of Australia on the basis of a 31-year hindcast," Applied Energy, Elsevier, vol. 184(C), pages 276-297.
    9. Coe, Ryan G. & Ahn, Seongho & Neary, Vincent S. & Kobos, Peter H. & Bacelli, Giorgio, 2021. "Maybe less is more: Considering capacity factor, saturation, variability, and filtering effects of wave energy devices," Applied Energy, Elsevier, vol. 291(C).
    10. Gonçalves, Marta & Martinho, Paulo & Guedes Soares, C., 2020. "Wave energy assessment based on a 33-year hindcast for the Canary Islands," Renewable Energy, Elsevier, vol. 152(C), pages 259-269.
    11. Shi, Xueli & Li, Shaowu & Liang, Bingchen & Zhao, Jianchun & Liu, Ye & Wang, Zhenlu, 2023. "Numerical study on the impact of wave-current interaction on wave energy resource assessments in Zhoushan sea area, China," Renewable Energy, Elsevier, vol. 215(C).
    12. Fairley, Iain & Lewis, Matthew & Robertson, Bryson & Hemer, Mark & Masters, Ian & Horrillo-Caraballo, Jose & Karunarathna, Harshinie & Reeve, Dominic E., 2020. "A classification system for global wave energy resources based on multivariate clustering," Applied Energy, Elsevier, vol. 262(C).
    13. Chen, Y.-L. & Lin, C.-C. & Chen, J.-H. & Lee, Y.-H. & Tzang, S.-Y., 2023. "Characteristics of wave energy resources on coastal waters of northeast Taiwan," Renewable Energy, Elsevier, vol. 202(C), pages 1-16.
    14. Liliana Rusu & Eugen Rusu, 2021. "Evaluation of the Worldwide Wave Energy Distribution Based on ERA5 Data and Altimeter Measurements," Energies, MDPI, vol. 14(2), pages 1-16, January.
    15. Sun, Ze & Zhang, Haicheng & Xu, Daolin & Liu, Xiaolong & Ding, Jun, 2020. "Assessment of wave power in the South China Sea based on 26-year high-resolution hindcast data," Energy, Elsevier, vol. 197(C).
    16. Foteinis, Spyros, 2022. "Wave energy converters in low energy seas: Current state and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    17. Evangelia Dialyna & Theocharis Tsoutsos, 2021. "Wave Energy in the Mediterranean Sea: Resource Assessment, Deployed WECs and Prospects," Energies, MDPI, vol. 14(16), pages 1-18, August.
    18. Gonçalves, Marta & Martinho, Paulo & Guedes Soares, C., 2018. "A 33-year hindcast on wave energy assessment in the western French coast," Energy, Elsevier, vol. 165(PB), pages 790-801.
    19. Martinez, A. & Iglesias, G., 2020. "Wave exploitability index and wave resource classification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    20. Lavidas, George, 2020. "Selection index for Wave Energy Deployments (SIWED): A near-deterministic index for wave energy converters," Energy, Elsevier, vol. 196(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:3:p:653-:d:488462. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.