Badriana, M.R.; Lee, H.S.; Diastomo, H.; Avrionesti; Surya, M.Y.; Abdurrahman, U.; Suprijo, T., and Park, H., 2021. Multi-data ensemble estimation of wave energy potential in Indonesian seas. In: Lee, J.L.; Suh, K.-S.; Lee, B.; Shin, S., and Lee, J. (eds.), Crisis and Integrated Management for Coastal and Marine Safety. Journal of Coastal Research, Special Issue No. 114, pp. 271–275. Coconut Creek (Florida), ISSN 0749-0208.

Wave as blue energy is promising in Indonesia since it propagates directly from both the Pacific and Indian Oceans. Thus, preliminary study is necessary as a gate of initial development for wave energy conversion. Many wind-wave model results, reanalysis datasets, and satellite data are currently available and help researchers comprehend wave behavior and its energy produced. Multi-data ensemble estimation of wave energy with various methods, set-ups, and resolutions from those available resources would provide better accuracy, consistency, and insight for potential wave energy. This estimation is crucial because direct wave measurements are still not enough in Indonesian seas. The significant wave height and period are obtained from multi-data resources over seven years from 2011 to 2017. Each data is spatially interpolated onto a consistent grid of adequate data resolution and temporally daily averaged based on the spatial and temporal resolution of data used. Seasonal and monthly wave energy is considered since the monsoonal pattern plays a significant role in the Indonesian seas. For further possibility, wave energy potential is analyzed near coastal zones with less than 100 m depth. High wave energy potential is found promising off the coast of southern Java and western Sumatra.

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