Numerical Forecasting Experiment of the Wave Energy Resource in the China Sea
The short-term forecasting of wave energy is important to provide guidance for the electric power operation and power transmission system and to enhance the efficiency of energy capture and conversion. This study produced a numerical forecasting experiment of the China Sea wave energy using WAVEWATC...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2016/5692431 |
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| author | Chong Wei Zheng Chong Yin Li Xuan Chen Jing Pan |
| author_facet | Chong Wei Zheng Chong Yin Li Xuan Chen Jing Pan |
| author_sort | Chong Wei Zheng |
| collection | DOAJ |
| description | The short-term forecasting of wave energy is important to provide guidance for the electric power operation and power transmission system and to enhance the efficiency of energy capture and conversion. This study produced a numerical forecasting experiment of the China Sea wave energy using WAVEWATCH-III (WW3, the latest version 4.18) wave model driven by T213 (WW3-T213) and T639 (WW3-T639) wind data separately. Then the WW3-T213 and WW3-T639 were verified and compared to build a short-term wave energy forecasting structure suited for the China Sea. Considering the value of wave power density (WPD), “wave energy rose,” daily and weekly total storage and effective storage of wave energy, this study also designed a series of short-term wave energy forecasting productions. Results show that both the WW3-T213 and WW3-T639 exhibit a good skill on the numerical forecasting of the China Sea WPD, while the result of WW3-T639 is much better. Judging from WPD and daily and weekly total storage and effective storage of wave energy, great wave energy caused by cold airs was found. As there are relatively frequent cold airs in winter, early spring, and later autumn in the China Sea and the surrounding waters, abundant wave energy ensues. |
| format | Article |
| id | doaj-art-0b0ad26e7e4a44bca9aaba4b3e860153 |
| institution | OA Journals |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-0b0ad26e7e4a44bca9aaba4b3e8601532025-08-20T02:03:09ZengWileyAdvances in Meteorology1687-93091687-93172016-01-01201610.1155/2016/56924315692431Numerical Forecasting Experiment of the Wave Energy Resource in the China SeaChong Wei Zheng0Chong Yin Li1Xuan Chen2Jing Pan3National Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaNational Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaCollege of Meteorology and Oceanography, People’s Liberation Army University of Science and Technology, Nanjing 211101, ChinaNational Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaThe short-term forecasting of wave energy is important to provide guidance for the electric power operation and power transmission system and to enhance the efficiency of energy capture and conversion. This study produced a numerical forecasting experiment of the China Sea wave energy using WAVEWATCH-III (WW3, the latest version 4.18) wave model driven by T213 (WW3-T213) and T639 (WW3-T639) wind data separately. Then the WW3-T213 and WW3-T639 were verified and compared to build a short-term wave energy forecasting structure suited for the China Sea. Considering the value of wave power density (WPD), “wave energy rose,” daily and weekly total storage and effective storage of wave energy, this study also designed a series of short-term wave energy forecasting productions. Results show that both the WW3-T213 and WW3-T639 exhibit a good skill on the numerical forecasting of the China Sea WPD, while the result of WW3-T639 is much better. Judging from WPD and daily and weekly total storage and effective storage of wave energy, great wave energy caused by cold airs was found. As there are relatively frequent cold airs in winter, early spring, and later autumn in the China Sea and the surrounding waters, abundant wave energy ensues.http://dx.doi.org/10.1155/2016/5692431 |
| spellingShingle | Chong Wei Zheng Chong Yin Li Xuan Chen Jing Pan Numerical Forecasting Experiment of the Wave Energy Resource in the China Sea Advances in Meteorology |
| title | Numerical Forecasting Experiment of the Wave Energy Resource in the China Sea |
| title_full | Numerical Forecasting Experiment of the Wave Energy Resource in the China Sea |
| title_fullStr | Numerical Forecasting Experiment of the Wave Energy Resource in the China Sea |
| title_full_unstemmed | Numerical Forecasting Experiment of the Wave Energy Resource in the China Sea |
| title_short | Numerical Forecasting Experiment of the Wave Energy Resource in the China Sea |
| title_sort | numerical forecasting experiment of the wave energy resource in the china sea |
| url | http://dx.doi.org/10.1155/2016/5692431 |
| work_keys_str_mv | AT chongweizheng numericalforecastingexperimentofthewaveenergyresourceinthechinasea AT chongyinli numericalforecastingexperimentofthewaveenergyresourceinthechinasea AT xuanchen numericalforecastingexperimentofthewaveenergyresourceinthechinasea AT jingpan numericalforecastingexperimentofthewaveenergyresourceinthechinasea |