Wind resource assessment Offshore Fujian using 30-year wind estimates.
China has set ambitious goals for the development of offshore wind energy to meet the increasing energy needs of coastal provinces. The initial phase of offshore wind energy development involves evaluating the wind resource and identifying the most promising locations for wind farms. It is crucial t...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0326759 |
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| author | Wenfei Xue Rongfu Li Weidong Ji Endi Zhai Hongying Yang Qiaozhen Ning Xiaokai Hu Guanghong Liao |
| author_facet | Wenfei Xue Rongfu Li Weidong Ji Endi Zhai Hongying Yang Qiaozhen Ning Xiaokai Hu Guanghong Liao |
| author_sort | Wenfei Xue |
| collection | DOAJ |
| description | China has set ambitious goals for the development of offshore wind energy to meet the increasing energy needs of coastal provinces. The initial phase of offshore wind energy development involves evaluating the wind resource and identifying the most promising locations for wind farms. It is crucial to assess the characteristics and potential of wind energy beforehand. This study conducts a comprehensive assessment of offshore wind resource near Fujian China. Wind measurement devices were deployed at XiaPu and PingTan to collect wind profile data and meteorological conditions for one year. Various wind characteristics, including average wind speed, frequency of wind direction, wind shears and turbulence intensity were analyzed. An adaptive Measure‑Correlate‑Predict methodology was utilized to estimate wind conditions over 30‑years span. Measured Wind energy density values range from 3082.63 and 11753.52 kWh/m2/year. The peak daily average wind speeds are prevailing between 12 a.m. and 11 p.m with lower turbulence intensity and higher wind shear exponent, such condition is suitable for development of wind power. The variation in the wind shear exponent, and wind speed changes with the seasons. The 90th percentile of turbulence intensity was found to be below the standard set for IEC Class A + The extreme wind speed associated with a 50-year return period was 38.0m/s at a height of 100m, leading to the recommendation of wind turbine class II. However, taking into account the ambient turbulence intensity, it might be advisable to upgrade the turbine class to IEC Class A+. |
| format | Article |
| id | doaj-art-18485ebc913147cdba66fffdfb675c48 |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-18485ebc913147cdba66fffdfb675c482025-08-20T03:27:37ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01206e032675910.1371/journal.pone.0326759Wind resource assessment Offshore Fujian using 30-year wind estimates.Wenfei XueRongfu LiWeidong JiEndi ZhaiHongying YangQiaozhen NingXiaokai HuGuanghong LiaoChina has set ambitious goals for the development of offshore wind energy to meet the increasing energy needs of coastal provinces. The initial phase of offshore wind energy development involves evaluating the wind resource and identifying the most promising locations for wind farms. It is crucial to assess the characteristics and potential of wind energy beforehand. This study conducts a comprehensive assessment of offshore wind resource near Fujian China. Wind measurement devices were deployed at XiaPu and PingTan to collect wind profile data and meteorological conditions for one year. Various wind characteristics, including average wind speed, frequency of wind direction, wind shears and turbulence intensity were analyzed. An adaptive Measure‑Correlate‑Predict methodology was utilized to estimate wind conditions over 30‑years span. Measured Wind energy density values range from 3082.63 and 11753.52 kWh/m2/year. The peak daily average wind speeds are prevailing between 12 a.m. and 11 p.m with lower turbulence intensity and higher wind shear exponent, such condition is suitable for development of wind power. The variation in the wind shear exponent, and wind speed changes with the seasons. The 90th percentile of turbulence intensity was found to be below the standard set for IEC Class A + The extreme wind speed associated with a 50-year return period was 38.0m/s at a height of 100m, leading to the recommendation of wind turbine class II. However, taking into account the ambient turbulence intensity, it might be advisable to upgrade the turbine class to IEC Class A+.https://doi.org/10.1371/journal.pone.0326759 |
| spellingShingle | Wenfei Xue Rongfu Li Weidong Ji Endi Zhai Hongying Yang Qiaozhen Ning Xiaokai Hu Guanghong Liao Wind resource assessment Offshore Fujian using 30-year wind estimates. PLoS ONE |
| title | Wind resource assessment Offshore Fujian using 30-year wind estimates. |
| title_full | Wind resource assessment Offshore Fujian using 30-year wind estimates. |
| title_fullStr | Wind resource assessment Offshore Fujian using 30-year wind estimates. |
| title_full_unstemmed | Wind resource assessment Offshore Fujian using 30-year wind estimates. |
| title_short | Wind resource assessment Offshore Fujian using 30-year wind estimates. |
| title_sort | wind resource assessment offshore fujian using 30 year wind estimates |
| url | https://doi.org/10.1371/journal.pone.0326759 |
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