Assessment of Wave Energy Resources in China
The evolution of renewable energy technologies may surmount fossil fuel disadvantages. Wave energy is considered one of the best alternatives to fossil energy due to its advantages. The 40-year (1979–2018) spatio-temporal distribution of wave energy is presented using European Centre for Medium-Rang...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/10/11/1771 |
| _version_ | 1797464905201221632 |
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| author | Hongyuan Shi Xuri Zhang Wenyan Du Qingjie Li Hengliang Qu Zaijin You |
| author_facet | Hongyuan Shi Xuri Zhang Wenyan Du Qingjie Li Hengliang Qu Zaijin You |
| author_sort | Hongyuan Shi |
| collection | DOAJ |
| description | The evolution of renewable energy technologies may surmount fossil fuel disadvantages. Wave energy is considered one of the best alternatives to fossil energy due to its advantages. The 40-year (1979–2018) spatio-temporal distribution of wave energy is presented using European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis v5 (ERA5) datasets. In addition, the common formula used for wave energy evaluation is derived from the linear wave theory in deep water, which is not applicable in shallow water. Therefore, a new equation that is suitable for both shallow and deep water is derived, which improves the accuracy of the wave energy evaluation for various water depths. The main aim is to investigate the spatio-temporal wave energy for offshore China from 1979 to 2018 and combine the new standard of classification to recommend the optimal area. The nearshore zone from Zhejiang province to Guandong province is considered the ideal zone, and the average annual wave energy density in this area is above 10 kW/m. |
| first_indexed | 2024-03-09T18:13:51Z |
| format | Article |
| id | doaj.art-74863c16ee8a42c6b3f1e03f2b634517 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-09T18:13:51Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-74863c16ee8a42c6b3f1e03f2b6345172023-11-24T08:52:39ZengMDPI AGJournal of Marine Science and Engineering2077-13122022-11-011011177110.3390/jmse10111771Assessment of Wave Energy Resources in ChinaHongyuan Shi0Xuri Zhang1Wenyan Du2Qingjie Li3Hengliang Qu4Zaijin You5The Center for Ports and Maritime Safety (CPMS), Dalian Maritime University, Dalian 116026, ChinaSchool of Hydraulic Engineering, Ludong University, Yantai 264025, ChinaSchool of Hydraulic Engineering, Ludong University, Yantai 264025, ChinaYantai Marine Environment Monitoring Center Station of the State Oceanic Administration (SOA), Yantai 264025, ChinaSchool of Hydraulic Engineering, Ludong University, Yantai 264025, ChinaThe Center for Ports and Maritime Safety (CPMS), Dalian Maritime University, Dalian 116026, ChinaThe evolution of renewable energy technologies may surmount fossil fuel disadvantages. Wave energy is considered one of the best alternatives to fossil energy due to its advantages. The 40-year (1979–2018) spatio-temporal distribution of wave energy is presented using European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis v5 (ERA5) datasets. In addition, the common formula used for wave energy evaluation is derived from the linear wave theory in deep water, which is not applicable in shallow water. Therefore, a new equation that is suitable for both shallow and deep water is derived, which improves the accuracy of the wave energy evaluation for various water depths. The main aim is to investigate the spatio-temporal wave energy for offshore China from 1979 to 2018 and combine the new standard of classification to recommend the optimal area. The nearshore zone from Zhejiang province to Guandong province is considered the ideal zone, and the average annual wave energy density in this area is above 10 kW/m.https://www.mdpi.com/2077-1312/10/11/1771wave energyERA5wave energy assessmentextreme wave heightoptimal areaChina |
| spellingShingle | Hongyuan Shi Xuri Zhang Wenyan Du Qingjie Li Hengliang Qu Zaijin You Assessment of Wave Energy Resources in China Journal of Marine Science and Engineering wave energy ERA5 wave energy assessment extreme wave height optimal area China |
| title | Assessment of Wave Energy Resources in China |
| title_full | Assessment of Wave Energy Resources in China |
| title_fullStr | Assessment of Wave Energy Resources in China |
| title_full_unstemmed | Assessment of Wave Energy Resources in China |
| title_short | Assessment of Wave Energy Resources in China |
| title_sort | assessment of wave energy resources in china |
| topic | wave energy ERA5 wave energy assessment extreme wave height optimal area China |
| url | https://www.mdpi.com/2077-1312/10/11/1771 |
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