Satellite-based wave data and wave energy resource assessment for South China Sea
Wave energy has the potential to valuably contribute to the coastal states renewable energy mix. However, lack of data sources hinders the effort to deliberately assess this resource. This paper presents an assessment of wave energy resources in the South China Sea (Malaysian Exclusive Economic Zone...
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Elsevier Ltd
2016
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| author | Yaakob, Omar Hashim, Farah Ellyza Mohd. Omar, Kamaludin Md. Din, Ami Hassan Koh, Kho King |
| author_facet | Yaakob, Omar Hashim, Farah Ellyza Mohd. Omar, Kamaludin Md. Din, Ami Hassan Koh, Kho King |
| author_sort | Yaakob, Omar |
| collection | ePrints |
| description | Wave energy has the potential to valuably contribute to the coastal states renewable energy mix. However, lack of data sources hinders the effort to deliberately assess this resource. This paper presents an assessment of wave energy resources in the South China Sea (Malaysian Exclusive Economic Zone) using satellite altimeter. Radar Altimeter Database System (RADS) provides data of significant wave height and wind speed from several satellite altimeters. The data were extracted for a space resolution of 0.25° × 0.25°, and within the time range from January 2001 to December 2010 and space range of 1.5°N - 10.0°N, 95.0°E - 116.0°E. For this study, fifteen 2° × 2° zones were considered around the east coast of Peninsular Malaysia and the coast of East Malaysia. The 10-year-data were validated with buoy measurements and presented as the probability distribution of wave height and wave period. The results indicate that bulk of the waves had peak period between 5s and 7s and significant wave height between 0.5 m and 1.5 m. The data were then used to calculate the theoretical available wave energy and power in the study areas. The results show that the average wave energy density of Malaysian seas facing the South China Sea is in the range of 1.41 kW/m to 7.92 kW/m, while the energy storage varies from 7.10 MW h/m to 69.41 MW h/m. This study also demonstrates the ability of satellite altimeter to provide an accurate and reliable data for more comprehensive and realistic estimate of the energy potential. The ability of satellite altimeter to provide wave data for all sea zones will enable more accurate identification of potential locations for wave energy development in Malaysia. |
| first_indexed | 2024-03-05T20:04:27Z |
| format | Article |
| id | utm.eprints-72666 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T20:04:27Z |
| publishDate | 2016 |
| publisher | Elsevier Ltd |
| record_format | dspace |
| spelling | utm.eprints-726662017-11-23T01:37:10Z http://eprints.utm.my/72666/ Satellite-based wave data and wave energy resource assessment for South China Sea Yaakob, Omar Hashim, Farah Ellyza Mohd. Omar, Kamaludin Md. Din, Ami Hassan Koh, Kho King TC Hydraulic engineering. Ocean engineering Wave energy has the potential to valuably contribute to the coastal states renewable energy mix. However, lack of data sources hinders the effort to deliberately assess this resource. This paper presents an assessment of wave energy resources in the South China Sea (Malaysian Exclusive Economic Zone) using satellite altimeter. Radar Altimeter Database System (RADS) provides data of significant wave height and wind speed from several satellite altimeters. The data were extracted for a space resolution of 0.25° × 0.25°, and within the time range from January 2001 to December 2010 and space range of 1.5°N - 10.0°N, 95.0°E - 116.0°E. For this study, fifteen 2° × 2° zones were considered around the east coast of Peninsular Malaysia and the coast of East Malaysia. The 10-year-data were validated with buoy measurements and presented as the probability distribution of wave height and wave period. The results indicate that bulk of the waves had peak period between 5s and 7s and significant wave height between 0.5 m and 1.5 m. The data were then used to calculate the theoretical available wave energy and power in the study areas. The results show that the average wave energy density of Malaysian seas facing the South China Sea is in the range of 1.41 kW/m to 7.92 kW/m, while the energy storage varies from 7.10 MW h/m to 69.41 MW h/m. This study also demonstrates the ability of satellite altimeter to provide an accurate and reliable data for more comprehensive and realistic estimate of the energy potential. The ability of satellite altimeter to provide wave data for all sea zones will enable more accurate identification of potential locations for wave energy development in Malaysia. Elsevier Ltd 2016 Article PeerReviewed Yaakob, Omar and Hashim, Farah Ellyza and Mohd. Omar, Kamaludin and Md. Din, Ami Hassan and Koh, Kho King (2016) Satellite-based wave data and wave energy resource assessment for South China Sea. Renewable Energy, 88 . pp. 359-371. ISSN 0960-1481 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84951098135&doi=10.1016%2fj.renene.2015.11.039&partnerID=40&md5=a995760fe687cac90dc84bc1ac8f5649 |
| spellingShingle | TC Hydraulic engineering. Ocean engineering Yaakob, Omar Hashim, Farah Ellyza Mohd. Omar, Kamaludin Md. Din, Ami Hassan Koh, Kho King Satellite-based wave data and wave energy resource assessment for South China Sea |
| title | Satellite-based wave data and wave energy resource assessment for South China Sea |
| title_full | Satellite-based wave data and wave energy resource assessment for South China Sea |
| title_fullStr | Satellite-based wave data and wave energy resource assessment for South China Sea |
| title_full_unstemmed | Satellite-based wave data and wave energy resource assessment for South China Sea |
| title_short | Satellite-based wave data and wave energy resource assessment for South China Sea |
| title_sort | satellite based wave data and wave energy resource assessment for south china sea |
| topic | TC Hydraulic engineering. Ocean engineering |
| work_keys_str_mv | AT yaakobomar satellitebasedwavedataandwaveenergyresourceassessmentforsouthchinasea AT hashimfarahellyza satellitebasedwavedataandwaveenergyresourceassessmentforsouthchinasea AT mohdomarkamaludin satellitebasedwavedataandwaveenergyresourceassessmentforsouthchinasea AT mddinamihassan satellitebasedwavedataandwaveenergyresourceassessmentforsouthchinasea AT kohkhoking satellitebasedwavedataandwaveenergyresourceassessmentforsouthchinasea |