Spatial distribution and long-term trend of wind energy in the Northwest Pacific Ocean
Abstract: Given the threat of fossil fuel depletion, it is essential to proactively strive for carbon neutrality and promote clean, low-carbon and efficient energy use. This study used ERA5 reanalysis data to assess wind energy resources in the Pacific Northwest region. By analyzing key indicators s...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2024-12-01
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| Series: | Water-Energy Nexus |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2588912523000346 |
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| _version_ | 1850105282388033536 |
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| author | Kaishan Wang Di Wu Tao Zhang Lei Yin Kai Wu Chongwei Zheng |
| author_facet | Kaishan Wang Di Wu Tao Zhang Lei Yin Kai Wu Chongwei Zheng |
| author_sort | Kaishan Wang |
| collection | DOAJ |
| description | Abstract: Given the threat of fossil fuel depletion, it is essential to proactively strive for carbon neutrality and promote clean, low-carbon and efficient energy use. This study used ERA5 reanalysis data to assess wind energy resources in the Pacific Northwest region. By analyzing key indicators such as wind power density, effective wind speed occurrence, and energy level occurrence, climate statistics and empirical orthogonal function analysis (EOF) were used to examine the spatial distribution and long-term trend of offshore wind energy resources in the Northwest Pacific. The results suggest that there are abundant wind energy resources in this region, which are beneficial for the development of offshore wind energy. The rich areas are the East China Sea, Taiwan islands and reefs in the South China Sea and the eastern shore of Japan, with prevailing wind power density (500 ∼ 2500 W/m2) and effective wind speed occurrence (80–90%) and energy level occurrence (60% ∼ 90%). Offshore wind energy resources in the Pacific Northwest are more abundant in fall and winter than in summer. The time coefficient of the first mode shows that the offshore wind energy in the Northwest Pacific has no obvious change trend, and the wind energy resources are relatively stable. |
| format | Article |
| id | doaj-art-16c323cf2fa94a29a97ccaddb3bcf3f2 |
| institution | OA Journals |
| issn | 2588-9125 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Water-Energy Nexus |
| spelling | doaj-art-16c323cf2fa94a29a97ccaddb3bcf3f22025-08-20T02:39:08ZengKeAi Communications Co., Ltd.Water-Energy Nexus2588-91252024-12-01713514210.1016/j.wen.2023.11.005Spatial distribution and long-term trend of wind energy in the Northwest Pacific OceanKaishan Wang0Di Wu1Tao Zhang2Lei Yin3Kai Wu4Chongwei Zheng5Dalian Naval Academy, Dalian 116018, China; Marine Resources and Environment Research Group on the Maritime Silk Road, Dalian 116018, ChinaDalian Naval Academy, Dalian 116018, China; Marine Resources and Environment Research Group on the Maritime Silk Road, Dalian 116018, ChinaCollege of Systems Engineering, National University of Defense Technology, Changsha 410073, ChinaShenzhen Quant-Cloud Energy Network Technology Co., Ltd., Shenzhen 518052, ChinaDalian Naval Academy, Dalian 116018, China; Marine Resources and Environment Research Group on the Maritime Silk Road, Dalian 116018, ChinaDalian Naval Academy, Dalian 116018, China; Marine Resources and Environment Research Group on the Maritime Silk Road, Dalian 116018, China; Corresponding author.Abstract: Given the threat of fossil fuel depletion, it is essential to proactively strive for carbon neutrality and promote clean, low-carbon and efficient energy use. This study used ERA5 reanalysis data to assess wind energy resources in the Pacific Northwest region. By analyzing key indicators such as wind power density, effective wind speed occurrence, and energy level occurrence, climate statistics and empirical orthogonal function analysis (EOF) were used to examine the spatial distribution and long-term trend of offshore wind energy resources in the Northwest Pacific. The results suggest that there are abundant wind energy resources in this region, which are beneficial for the development of offshore wind energy. The rich areas are the East China Sea, Taiwan islands and reefs in the South China Sea and the eastern shore of Japan, with prevailing wind power density (500 ∼ 2500 W/m2) and effective wind speed occurrence (80–90%) and energy level occurrence (60% ∼ 90%). Offshore wind energy resources in the Pacific Northwest are more abundant in fall and winter than in summer. The time coefficient of the first mode shows that the offshore wind energy in the Northwest Pacific has no obvious change trend, and the wind energy resources are relatively stable.http://www.sciencedirect.com/science/article/pii/S2588912523000346Northwest Pacific OceanOffshore wind energySpatial–temporal characteristicsEOFFirst mode time coefficientResource assessment |
| spellingShingle | Kaishan Wang Di Wu Tao Zhang Lei Yin Kai Wu Chongwei Zheng Spatial distribution and long-term trend of wind energy in the Northwest Pacific Ocean Water-Energy Nexus Northwest Pacific Ocean Offshore wind energy Spatial–temporal characteristics EOF First mode time coefficient Resource assessment |
| title | Spatial distribution and long-term trend of wind energy in the Northwest Pacific Ocean |
| title_full | Spatial distribution and long-term trend of wind energy in the Northwest Pacific Ocean |
| title_fullStr | Spatial distribution and long-term trend of wind energy in the Northwest Pacific Ocean |
| title_full_unstemmed | Spatial distribution and long-term trend of wind energy in the Northwest Pacific Ocean |
| title_short | Spatial distribution and long-term trend of wind energy in the Northwest Pacific Ocean |
| title_sort | spatial distribution and long term trend of wind energy in the northwest pacific ocean |
| topic | Northwest Pacific Ocean Offshore wind energy Spatial–temporal characteristics EOF First mode time coefficient Resource assessment |
| url | http://www.sciencedirect.com/science/article/pii/S2588912523000346 |
| work_keys_str_mv | AT kaishanwang spatialdistributionandlongtermtrendofwindenergyinthenorthwestpacificocean AT diwu spatialdistributionandlongtermtrendofwindenergyinthenorthwestpacificocean AT taozhang spatialdistributionandlongtermtrendofwindenergyinthenorthwestpacificocean AT leiyin spatialdistributionandlongtermtrendofwindenergyinthenorthwestpacificocean AT kaiwu spatialdistributionandlongtermtrendofwindenergyinthenorthwestpacificocean AT chongweizheng spatialdistributionandlongtermtrendofwindenergyinthenorthwestpacificocean |