Amiruddin, Ribal Agustinus, Khaeruddin, Thamrin Sri Astuti. A 10-year wave energy resource assessment and trends of Indonesia based on satellite observations[J]. Acta Oceanologica Sinica, 2019, 38(8): 86-93. doi: 10.1007/s13131-019-1400-z
Citation: Amiruddin, Ribal Agustinus, Khaeruddin, Thamrin Sri Astuti. A 10-year wave energy resource assessment and trends of Indonesia based on satellite observations[J]. Acta Oceanologica Sinica, 2019, 38(8): 86-93. doi: 10.1007/s13131-019-1400-z

A 10-year wave energy resource assessment and trends of Indonesia based on satellite observations

doi: 10.1007/s13131-019-1400-z
  • Received Date: 2018-04-02
  • Wave energy resource assessment and trends around Indonesian’s ocean has been carried out by means of analyzing satellite observations. Wave energy flux or wave power can be approximated using parameterized sea states derived from satellite data. Unfortunately, only some surface parameters can be measured from remote sensing satellites, for example for ocean surface waves: significant wave height. Others, like peak wave period and energy period are not available, but can instead be estimated using empirical models. The results have been assessed by meteorological season. The assessment shows clearly where and when the wave power resource is promising around Indonesian’s ocean. The most striking result was found from June to August, in which about 30-40 kW/m (the 90th percentile: 40-60 kW/m, the 99th percentile: 50-70 kW/m) wave power energy on average has been found around south of the Java Island. The significant trends of wave energy at the 95% level have also been studied and it is found that the trends only occurred for the extreme cases, which is the 99th percentile (i.e., highest 1%). Wave power energy could increase up to 150 W/m per year. The significant wave heights and wave power have been compared with the results obtained from global wave model hindcast carried out by wave model WAVEWATCH Ⅲ. The comparisons indicated excellent agreements.
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  • [1] Ardhuin F, Rogers E, Babanin A V, et al. 2010. Semiempirical dissipation source functions for ocean waves. Part I: definition, calibration, and validation. Journal of Physical Oceanography, 40(9): 1917-1941, doi:  10.1175/2010JPO4324.1
    [2] Babanin Alexander, Zieger Stefan, Ribal Agustinus. 2014a. Satellite Observations of Waves in the Arctic Ocean. 22nd IAHR International Symposium on Ice. Singapore: International Association for Hydro-Environment Engineering and Research (IAHR), 798–805
    [3] Babanin Alexander, Zieger Stefan, Ribal Agustinus. 2014b. Ocean waves in the Arctic: observations and trends. International Symposium on Sea Ice in a Changing Environment. Hobart, Australia: The International Glaciological Society, 69A576
    [4] BPPT. 2014. Outlook Energi Indonesia 2014. Jakarta: Badan Pengkajian dan Penerapan Teknologi (BPPT), 793
    [5] Cornett A M. 2008. A global wave energy resource assessment. Sea Technology, 50(4): 59
    [6] Durrant T H, Greenslade D J M, Hemer M A, et al. 2014. A Global Wave Hindcast Focussed on the Central and South Pacific. Melbourne: Bureau of Meteorology Australia and CSIRO
    [7] Gommenginger C, Cotton D, Srokosz M, et al. 2005. Ocean wave period from satellite altimeters. In: Lacoste H, Ouwehand L, eds. Proceedings of the 2004 Envisat & ERS Symposium. Salzburg, Austria: CD-Rom
    [8] Gommenginger C P, Srokosz M A, Challenor P G, et al. 2003. Measuring ocean wave period with satellite altimeters: A simple empirical model. Geophysical Research Letters, 30(22): 2150
    [9] Gommenginger C P, Srokosz M A, Challenor P G, et al. 2004. Measuring ocean wave period and wave height with satellite altimeters. In: Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering. Vancouver, British Columbia, Canada: The American Society of Mechanical Engineers (ASME), 353-360
    [10] Hagerman G. 2001. Southern new england wave energy resource potential. In: Building Energy 2001. Boston, MA, USA: Tufts University, 13
    [11] Hemer M A, Zieger S, Durrant T, et al. 2017. A revised assessment of Australia’s national wave energy resource. Renewable Energy, 114: 85-107, doi:  10.1016/j.renene.2016.08.039
    [12] Kendall M G. 1955. Rank Correlation Methods. 2nd ed. London: Charles Griffin & Co. Ltd, 936
    [13] Mann H B. 1945. Nonparametric tests against trend. Econometrica, 13(3): 245-259, doi:  10.2307/1907187
    [14] Mudho Yulistyo. 2011. Marine and Fisheries in Figures 2011. Jakarta: Ministry of Marine Affairs and Fisheries
    [15] Peacock D. 2015. IEC TS 62600-101: 2015: Marine energy-Wave, tidal and other water current converters-Part 101: Wave energy resource assessment and characterization. Geneva, Switzerland: The International Electrotechnical Commission, 1–42
    [16] Pontes M T. 1998. Assessing the European wave energy resource. Journal of Offshore Mechanics and Arctic Engineering, 120(4): 226-231, doi:  10.1115/1.2829544
    [17] Prasodjo E, Nurzaman H, Walujanto, et al. 2016. Indonesia Energy Outlook 2016. Jakarta: National Energy Council, 940
    [18] Purnamasari R, Ribal A, Kusuma J. 2018. Prediction of tidal elevations and barotropic currents in the gulf of bone. Journal of Physics: Conference Series, 979: 012071, doi:  10.1088/1742-6596/979/1/012071
    [19] Quartly G D, Srokosz M A, McMillan A C. 2001. Analyzing altimeter artifacts: statistical properties of ocean waveforms. Journal of Atmospheric and Oceanic Technology, 18(12): 2074-2091, doi:  10.1175/1520-0426(2001)018<2074:AAASPO>2.0.CO;2
    [20] Queffeulou P, Croizé-Fillon D. 2012. Global altimeter SWH data set-version 9. 0. Plouzané, France: IFREMER
    [21] Rascle N, Ardhuin F, Queffeulou P, et al. 2008. A global wave parameter database for geophysical applications. Part 1: Wave-current-turbulence interaction parameters for the open ocean based on traditional parameterizations. Ocean Modelling, 25(3-4): 154-171, doi:  10.1016/j.ocemod.2008.07.006
    [22] Ribal A, Amir A K, Toaha S, et al. 2017. Tidal current energy resource assessment around buton island, southeast Sulawesi, Indonesia. International Journal of Renewable Energy Research, 7(2): 857-865
    [23] Ribal A, Zieger S. 2016. Wave energy resource assessment based on satellite observations around Indonesia. AIP Conference Proceedings, 1737: 060001, doi:  10.1063/1.4949308
    [24] Sen P K. 1968. Estimates of the regression coefficient based on kendall’s tau. Journal of the American Statistical Association, 63(324): 1379-1389, doi:  10.1080/01621459.1968.10480934
    [25] Tolman H L. 2009. User manual and system documentation of WAVEWATCH Ⅲ version 3. 14. Technical note, MMAB Contribution. Camp Springs, USA: National Centers for Environmental Prediction, 220
    [26] Vinoth J, Young I R. 2011. Global estimates of extreme wind speed and wave height. Journal of Climate, 24(6): 1647-1665, doi:  10.1175/2010JCLI3680.1
    [27] Wan Yong, Zhang Jie, Meng Junmin, et al. 2016. Study on wave energy resource assessing method based on altimeter data-A case study in Northwest Pacific. Acta Oceanologica Sinica, 35(3): 117-129, doi:  10.1007/s13131-016-0804-2
    [28] Young I R, Zieger S, Babanin A V. 2011. Global trends in wind speed and wave height. Science, 332(6028): 451-455, doi:  10.1126/science.1197219
    [29] Zheng C W, Pan J, Li J X. 2013. Assessing the China Sea wind energy and wave energy resources from 1988 to 2009. Ocean Engineering, 65: 39-48, doi:  10.1016/j.oceaneng.2013.03.006
    [30] Zieger S. 2010. Long term trends in ocean wind speed and wave height [dissertation]. Melbourne: Swinburne University of Technology
    [31] Zieger S, Babanin A V, Erick R W, et al. 2015. Observation-based source terms in the third-generation wave model WAVEWATCH. Ocean Modelling, 96: 2-25, doi:  10.1016/j.ocemod.2015.07.014
    [32] Zieger S, Babanin A V, Ribal A. 2013. Wave climate in the marginal ice zone as observed by altimeters. In: American Geophysical Union Fall Meeting. San Francisco, CA, US: AGU
    [33] Zieger S, Babanin A V, Young I R. 2014. Changes in ocean surface wind with a focus on trends in regional and monthly mean values. Deep Sea Research Part I: Oceanographic Research Papers, 86: 56-67, doi:  10.1016/j.dsr.2014.01.004
    [34] Zieger S, Vinoth J, Young I R. 2009. Joint calibration of multiplatform altimeter measurements of wind speed and wave height over the Past 20 Years. Journal of Atmospheric and Oceanic Technology, 26(12): 2549-2564, doi:  10.1175/2009JTECHA1303.1
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A 10-year wave energy resource assessment and trends of Indonesia based on satellite observations

doi: 10.1007/s13131-019-1400-z

Abstract: Wave energy resource assessment and trends around Indonesian’s ocean has been carried out by means of analyzing satellite observations. Wave energy flux or wave power can be approximated using parameterized sea states derived from satellite data. Unfortunately, only some surface parameters can be measured from remote sensing satellites, for example for ocean surface waves: significant wave height. Others, like peak wave period and energy period are not available, but can instead be estimated using empirical models. The results have been assessed by meteorological season. The assessment shows clearly where and when the wave power resource is promising around Indonesian’s ocean. The most striking result was found from June to August, in which about 30-40 kW/m (the 90th percentile: 40-60 kW/m, the 99th percentile: 50-70 kW/m) wave power energy on average has been found around south of the Java Island. The significant trends of wave energy at the 95% level have also been studied and it is found that the trends only occurred for the extreme cases, which is the 99th percentile (i.e., highest 1%). Wave power energy could increase up to 150 W/m per year. The significant wave heights and wave power have been compared with the results obtained from global wave model hindcast carried out by wave model WAVEWATCH Ⅲ. The comparisons indicated excellent agreements.

Amiruddin, Ribal Agustinus, Khaeruddin, Thamrin Sri Astuti. A 10-year wave energy resource assessment and trends of Indonesia based on satellite observations[J]. Acta Oceanologica Sinica, 2019, 38(8): 86-93. doi: 10.1007/s13131-019-1400-z
Citation: Amiruddin, Ribal Agustinus, Khaeruddin, Thamrin Sri Astuti. A 10-year wave energy resource assessment and trends of Indonesia based on satellite observations[J]. Acta Oceanologica Sinica, 2019, 38(8): 86-93. doi: 10.1007/s13131-019-1400-z
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