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Wave Power Assessment in the Middle Part of the Southern Coast of Java Island

Author

Listed:
  • Addy Wahyudie

    (Department of Electrical Engineering, College of Engineering, United Arab Emirates University, F1 Building, P.O. Box 15551, Al Ain, UAE)

  • Tri Bagus Susilo

    (College of Engineering and Technology, American University of the Middle East, Kuwait City 54200, Kuwait
    These authors contributed equally to this work.)

  • Fatima Alaryani

    (Al Ain Distribution Company, P.O. Box 1065, Al Ain, UAE
    These authors contributed equally to this work.)

  • Cuk Supriyadi Ali Nandar

    (Agency for the Assessment and Application of Technology (BPPT), Serpong 15314, Indonesia
    These authors contributed equally to this work.)

  • Mohammed Abdi Jama

    (Department of Electrical Engineering, College of Engineering, United Arab Emirates University, F1 Building, P.O. Box 15551, Al Ain, UAE
    These authors contributed equally to this work.)

  • Abdulrahman Daher

    (Department of Electrical Engineering, College of Engineering, United Arab Emirates University, F1 Building, P.O. Box 15551, Al Ain, UAE
    These authors contributed equally to this work.)

  • Hussain Shareef

    (Department of Electrical Engineering, College of Engineering, United Arab Emirates University, F1 Building, P.O. Box 15551, Al Ain, UAE
    These authors contributed equally to this work.)

Abstract

An assessment of the wave power at the southern coast of the middle part of Java Island (Indonesia) was conducted based on a 15-year hindcast spectral wave model using the MIKE 21 Spectral Wave software. The model was forced with wind data with a 0.125° spatial interval and hourly time resolution. The obtained model was validated with field data collected from a buoy station that provided a set of significant wave height data with an hourly data interval for the whole month of June 2014. The validation showed that the obtained model matched the observed data with a minor average error. A spatial analysis was conducted in order to find the most suitable location for installing wave energy converters while taking into consideration the potential area demand, the wave power intensity, and the distance from the shore. Moreover, spatial analysis is conducted in order to find a suitable location to install wave energy converters, with consideration to potential area demand, wave power intensity, and distance from the shore. The best prospective location reached 30 kW/m of mean wave power intensity, 2.04 m of mean significant wave height, 8.9 s of mean wave period, 150 m of distance from the shoreline.

Suggested Citation

  • Addy Wahyudie & Tri Bagus Susilo & Fatima Alaryani & Cuk Supriyadi Ali Nandar & Mohammed Abdi Jama & Abdulrahman Daher & Hussain Shareef, 2020. "Wave Power Assessment in the Middle Part of the Southern Coast of Java Island," Energies, MDPI, vol. 13(10), pages 1-19, May.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:10:p:2633-:d:361427
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    References listed on IDEAS

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    1. Aboobacker, V.M. & Shanas, P.R. & Alsaafani, M.A. & Albarakati, Alaa M.A., 2017. "Wave energy resource assessment for Red Sea," Renewable Energy, Elsevier, vol. 114(PA), pages 46-58.
    2. Besio, G. & Mentaschi, L. & Mazzino, A., 2016. "Wave energy resource assessment in the Mediterranean Sea on the basis of a 35-year hindcast," Energy, Elsevier, vol. 94(C), pages 50-63.
    3. Monteforte, M. & Lo Re, C. & Ferreri, G.B., 2015. "Wave energy assessment in Sicily (Italy)," Renewable Energy, Elsevier, vol. 78(C), pages 276-287.
    4. Pasquale Contestabile & Vincenzo Ferrante & Diego Vicinanza, 2015. "Wave Energy Resource along the Coast of Santa Catarina (Brazil)," Energies, MDPI, vol. 8(12), pages 1-25, December.
    5. Mirzaei, Ali & Tangang, Fredolin & Juneng, Liew, 2014. "Wave energy potential along the east coast of Peninsular Malaysia," Energy, Elsevier, vol. 68(C), pages 722-734.
    6. Hughes, Michael G. & Heap, Andrew D., 2010. "National-scale wave energy resource assessment for Australia," Renewable Energy, Elsevier, vol. 35(8), pages 1783-1791.
    7. Babarit, A. & Hals, J. & Muliawan, M.J. & Kurniawan, A. & Moan, T. & Krokstad, J., 2012. "Numerical benchmarking study of a selection of wave energy converters," Renewable Energy, Elsevier, vol. 41(C), pages 44-63.
    8. Rusu, Eugen & Onea, Florin, 2013. "Evaluation of the wind and wave energy along the Caspian Sea," Energy, Elsevier, vol. 50(C), pages 1-14.
    9. Henderson, Ross, 2006. "Design, simulation, and testing of a novel hydraulic power take-off system for the Pelamis wave energy converter," Renewable Energy, Elsevier, vol. 31(2), pages 271-283.
    10. Ayat, Berna, 2013. "Wave power atlas of Eastern Mediterranean and Aegean Seas," Energy, Elsevier, vol. 54(C), pages 251-262.
    11. Morim, Joao & Cartwright, Nick & Hemer, Mark & Etemad-Shahidi, Amir & Strauss, Darrell, 2019. "Inter- and intra-annual variability of potential power production from wave energy converters," Energy, Elsevier, vol. 169(C), pages 1224-1241.
    12. Kovaleva, Olga & Eelsalu, Maris & Soomere, Tarmo, 2017. "Hot-spots of large wave energy resources in relatively sheltered sections of the Baltic Sea coast," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 424-437.
    13. 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.
    14. Kim, Gunwoo & Jeong, Weon Mu & Lee, Kwang Soo & Jun, Kicheon & Lee, Myung Eun, 2011. "Offshore and nearshore wave energy assessment around the Korean Peninsula," Energy, Elsevier, vol. 36(3), pages 1460-1469.
    15. Jadidoleslam, Navid & Özger, Mehmet & Ağıralioğlu, Necati, 2016. "Wave power potential assessment of Aegean Sea with an integrated 15-year data," Renewable Energy, Elsevier, vol. 86(C), pages 1045-1059.
    16. Liberti, Luca & Carillo, Adriana & Sannino, Gianmaria, 2013. "Wave energy resource assessment in the Mediterranean, the Italian perspective," Renewable Energy, Elsevier, vol. 50(C), pages 938-949.
    17. Langodan, Sabique & Viswanadhapalli, Yesubabu & Dasari, Hari Prasad & Knio, Omar & Hoteit, Ibrahim, 2016. "A high-resolution assessment of wind and wave energy potentials in the Red Sea," Applied Energy, Elsevier, vol. 181(C), pages 244-255.
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