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

Addy Wahyudie, Tri Bagus Susilo, Fatima Alaryani, Cuk Supriyadi Ali Nandar, Mohammed Abdi Jama, Abdulrahman Daher and Hussain Shareef
Additional contact information
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
Fatima Alaryani: Al Ain Distribution Company, P.O. Box 1065, Al Ain, UAE
Cuk Supriyadi Ali Nandar: Agency for the Assessment and Application of Technology (BPPT), Serpong 15314, Indonesia
Mohammed Abdi Jama: Department of Electrical Engineering, College of Engineering, United Arab Emirates University, F1 Building, P.O. Box 15551, Al Ain, UAE
Abdulrahman Daher: Department of Electrical Engineering, College of Engineering, United Arab Emirates University, F1 Building, P.O. Box 15551, Al Ain, UAE
Hussain Shareef: Department of Electrical Engineering, College of Engineering, United Arab Emirates University, F1 Building, P.O. Box 15551, Al Ain, UAE

Energies, 2020, vol. 13, issue 10, 1-19

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.

Keywords: wave power assessment; wave energy converters; hindcast; Indian Ocean; Java Island Coast; Indonesia Coast (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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