| 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 |
| A 10-year wave energy resource assessment and trends of Indonesia based on satellite observations |
| A 10-year wave energy resource assessment and trends of Indonesia based on satellite observations |
| 投稿时间：2018-04-02 |
| DOI：10.1007/s13131-019-1400-z |
| 中文关键词: wave power energy trends ENVISAT altimeter significant wave height wave period |
| 英文关键词:wave power energy trends ENVISAT altimeter significant wave height wave period |
| 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. |
| 作者 | 单位 | E-mail | | Amiruddin | Department of Physics, Faculty of Mathematics and Natural Sciences, Hasanuddin University, Makassar 90245, Indonesia | | | Ribal Agustinus | Department of Mathematics, Faculty of Mathematics and Natural Sciences, Hasanuddin University, Makassar 90245, Indonesia | agus.ribal@gmail.com | | Khaeruddin | Department of Mathematics, Faculty of Mathematics and Natural Sciences, Hasanuddin University, Makassar 90245, Indonesia | | | Thamrin Sri Astuti | Department of Mathematics, Faculty of Mathematics and Natural Sciences, Hasanuddin University, Makassar 90245, Indonesia | |
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| 中文摘要: |
| 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. |
| 英文摘要: |
| 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. |
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