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

Amiruddin; Ribal Agustinus; Khaeruddin; Thamrin Sri Astuti

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

1.
Department of Physics, Faculty of Mathematics and Natural Sciences, Hasanuddin University, Makassar 90245, Indonesia
2.
Department of Mathematics, Faculty of Mathematics and Natural Sciences, Hasanuddin University, Makassar 90245, Indonesia

基金项目: The Minister for Research, Technology and Higher Education, Indonesia under contract No. 2611/UN4.21/LK.23/2017 through Research and Community Service Institution at Hasanuddin University, Makassar, Indonesia.

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- 收稿日期: 2018-04-02

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

1.
Department of Physics, Faculty of Mathematics and Natural Sciences, Hasanuddin University, Makassar 90245, Indonesia
2.
Department of Mathematics, Faculty of Mathematics and Natural Sciences, Hasanuddin University, Makassar 90245, Indonesia

摘要

摘要: 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.
- wavepowerenergy /
- trends /
- ENVISATaltimeter /
- significantwaveheight /
- waveperiod
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.
- wave power energy /
- trends /
- ENVISAT altimeter /
- significant wave height /
- wave period

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参考文献(34)

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

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

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

BPPT. 2014. Outlook Energi Indonesia 2014. Jakarta: Badan Pengkajian dan Penerapan Teknologi (BPPT), 793

Cornett A M. 2008. A global wave energy resource assessment. Sea Technology, 50(4): 59

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

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

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

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

Hagerman G. 2001. Southern new england wave energy resource potential. In: Building Energy 2001. Boston, MA, USA: Tufts University, 13

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

Kendall M G. 1955. Rank Correlation Methods. 2nd ed. London: Charles Griffin & Co. Ltd, 936

Mann H B. 1945. Nonparametric tests against trend. Econometrica, 13(3): 245-259, doi: 10.2307/1907187

Mudho Yulistyo. 2011. Marine and Fisheries in Figures 2011. Jakarta: Ministry of Marine Affairs and Fisheries

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

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

Prasodjo E, Nurzaman H, Walujanto, et al. 2016. Indonesia Energy Outlook 2016. Jakarta: National Energy Council, 940

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

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

Queffeulou P, Croizé-Fillon D. 2012. Global altimeter SWH data set-version 9. 0. Plouzané, France: IFREMER

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

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

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

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

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

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

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

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

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

Zieger S. 2010. Long term trends in ocean wind speed and wave height [dissertation]. Melbourne: Swinburne University of Technology

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

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

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

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

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

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