Wind Energy Resources at Antarctic Stations Based on ERA5
The harsh scientific research environment of Antarctic stations demands a reliable energy supply; however, traditional methods not only pose a challenge in supply but also harm the environment. Antarctic energy supply has become a new choice for energy development in Antarctica due to its abundant w...
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Online Access: | https://doi.org/10.3390/atmos14121732 https://doaj.org/article/0daa62b092714bfd8cffba56707d1411 |
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ftdoajarticles:oai:doaj.org/article:0daa62b092714bfd8cffba56707d1411 2024-01-21T10:01:51+01:00 Wind Energy Resources at Antarctic Stations Based on ERA5 Kaishan Wang Di Wu Jinping Wu Shuang Li Xinye Zhao Chongwei Zheng Yue Yu Kai Wu 2023-11-01T00:00:00Z https://doi.org/10.3390/atmos14121732 https://doaj.org/article/0daa62b092714bfd8cffba56707d1411 EN eng MDPI AG https://www.mdpi.com/2073-4433/14/12/1732 https://doaj.org/toc/2073-4433 doi:10.3390/atmos14121732 2073-4433 https://doaj.org/article/0daa62b092714bfd8cffba56707d1411 Atmosphere, Vol 14, Iss 12, p 1732 (2023) Antarctic wind energy Antarctic station ERA5 Meteorology. Climatology QC851-999 article 2023 ftdoajarticles https://doi.org/10.3390/atmos14121732 2023-12-24T01:38:07Z The harsh scientific research environment of Antarctic stations demands a reliable energy supply; however, traditional methods not only pose a challenge in supply but also harm the environment. Antarctic energy supply has become a new choice for energy development in Antarctica due to its abundant wind energy resources. Using ERA5 10 m wind field reanalysis data, we compared and analyzed the correlation (r) and Root Mean Square Error (RMSE) between some observation stations and reanalysis data, with correlations above 0.67 and root mean square error below 2.3. This indicates that the accuracy of the ERA5 data is suitable for resource assessment at stations in Antarctica. We assessed the wind energy potential of the Great Wall, Zhongshan, Kunlun and Taishan Stations. The results show that the annual distribution and long-term trend of wind energy at Taishan Station are the best, followed by the Great Wall, Zhongshan and Kunlun Stations. Taishan Station has stable wind direction and abundant wind energy, the average wind power density is 800 W/m 2 , with an annual growth trend of 2.02 W/m 2 ·yr −1 . The effective wind speed occurrence and energy level occurrence are generally above 90% and the coefficient of variation is generally below 0.8. The dominant direction of wind energy is northeast and the wind direction is stable, which is conducive to the development and utilization of wind energy. Article in Journal/Newspaper Antarc* Antarctic Antarctica Directory of Open Access Journals: DOAJ Articles Antarctic Zhongshan ENVELOPE(76.371,76.371,-69.373,-69.373) Atmosphere 14 12 1732 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Antarctic wind energy Antarctic station ERA5 Meteorology. Climatology QC851-999 |
spellingShingle |
Antarctic wind energy Antarctic station ERA5 Meteorology. Climatology QC851-999 Kaishan Wang Di Wu Jinping Wu Shuang Li Xinye Zhao Chongwei Zheng Yue Yu Kai Wu Wind Energy Resources at Antarctic Stations Based on ERA5 |
topic_facet |
Antarctic wind energy Antarctic station ERA5 Meteorology. Climatology QC851-999 |
description |
The harsh scientific research environment of Antarctic stations demands a reliable energy supply; however, traditional methods not only pose a challenge in supply but also harm the environment. Antarctic energy supply has become a new choice for energy development in Antarctica due to its abundant wind energy resources. Using ERA5 10 m wind field reanalysis data, we compared and analyzed the correlation (r) and Root Mean Square Error (RMSE) between some observation stations and reanalysis data, with correlations above 0.67 and root mean square error below 2.3. This indicates that the accuracy of the ERA5 data is suitable for resource assessment at stations in Antarctica. We assessed the wind energy potential of the Great Wall, Zhongshan, Kunlun and Taishan Stations. The results show that the annual distribution and long-term trend of wind energy at Taishan Station are the best, followed by the Great Wall, Zhongshan and Kunlun Stations. Taishan Station has stable wind direction and abundant wind energy, the average wind power density is 800 W/m 2 , with an annual growth trend of 2.02 W/m 2 ·yr −1 . The effective wind speed occurrence and energy level occurrence are generally above 90% and the coefficient of variation is generally below 0.8. The dominant direction of wind energy is northeast and the wind direction is stable, which is conducive to the development and utilization of wind energy. |
format |
Article in Journal/Newspaper |
author |
Kaishan Wang Di Wu Jinping Wu Shuang Li Xinye Zhao Chongwei Zheng Yue Yu Kai Wu |
author_facet |
Kaishan Wang Di Wu Jinping Wu Shuang Li Xinye Zhao Chongwei Zheng Yue Yu Kai Wu |
author_sort |
Kaishan Wang |
title |
Wind Energy Resources at Antarctic Stations Based on ERA5 |
title_short |
Wind Energy Resources at Antarctic Stations Based on ERA5 |
title_full |
Wind Energy Resources at Antarctic Stations Based on ERA5 |
title_fullStr |
Wind Energy Resources at Antarctic Stations Based on ERA5 |
title_full_unstemmed |
Wind Energy Resources at Antarctic Stations Based on ERA5 |
title_sort |
wind energy resources at antarctic stations based on era5 |
publisher |
MDPI AG |
publishDate |
2023 |
url |
https://doi.org/10.3390/atmos14121732 https://doaj.org/article/0daa62b092714bfd8cffba56707d1411 |
long_lat |
ENVELOPE(76.371,76.371,-69.373,-69.373) |
geographic |
Antarctic Zhongshan |
geographic_facet |
Antarctic Zhongshan |
genre |
Antarc* Antarctic Antarctica |
genre_facet |
Antarc* Antarctic Antarctica |
op_source |
Atmosphere, Vol 14, Iss 12, p 1732 (2023) |
op_relation |
https://www.mdpi.com/2073-4433/14/12/1732 https://doaj.org/toc/2073-4433 doi:10.3390/atmos14121732 2073-4433 https://doaj.org/article/0daa62b092714bfd8cffba56707d1411 |
op_doi |
https://doi.org/10.3390/atmos14121732 |
container_title |
Atmosphere |
container_volume |
14 |
container_issue |
12 |
container_start_page |
1732 |
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1788692047402631168 |