Assessing Global Ocean Wind Energy Resources Using Multiple Satellite Data
Wind energy, as a vital renewable energy source, also plays a significant role in reducing carbon emissions and mitigating climate change. It is therefore of utmost necessity to evaluate ocean wind energy resources for electricity generation and environmental management. Ocean wind distribution arou...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-01-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2072-4292/10/1/100 |
| _version_ | 1819005068234457088 |
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| author | Qiaoying Guo Xiazhen Xu Kangyu Zhang Zhengquan Li Weijiao Huang Lamin R. Mansaray Weiwei Liu Xiuzhen Wang Jian Gao Jingfeng Huang |
| author_facet | Qiaoying Guo Xiazhen Xu Kangyu Zhang Zhengquan Li Weijiao Huang Lamin R. Mansaray Weiwei Liu Xiuzhen Wang Jian Gao Jingfeng Huang |
| author_sort | Qiaoying Guo |
| collection | DOAJ |
| description | Wind energy, as a vital renewable energy source, also plays a significant role in reducing carbon emissions and mitigating climate change. It is therefore of utmost necessity to evaluate ocean wind energy resources for electricity generation and environmental management. Ocean wind distribution around the globe can be obtained from satellite observations to compensate for limited in situ measurements. However, previous studies have largely ignored uncertainties in ocean wind energy resources assessment with multiple satellite data. It is against this background that the current study compares mean wind speeds (MWS) and wind power densities (WPD) retrieved from scatterometers (QuikSCAT, ASCAT) and radiometers (WindSAT) and their different combinations with National Data Buoy Center (NDBC) buoy measurements at heights of 10 m and 100 m (wind turbine hub height) above sea level. Our results show an improvement in the accuracy of wind resources estimation with the use of multiple satellite observations. This has implications for the acquisition of reliable data on ocean wind energy in support of management policies. |
| first_indexed | 2024-12-20T23:46:54Z |
| format | Article |
| id | doaj.art-baeecdc61f5d4b01ab8dc5d016789cf0 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-20T23:46:54Z |
| publishDate | 2018-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-baeecdc61f5d4b01ab8dc5d016789cf02022-12-21T19:22:56ZengMDPI AGRemote Sensing2072-42922018-01-0110110010.3390/rs10010100rs10010100Assessing Global Ocean Wind Energy Resources Using Multiple Satellite DataQiaoying Guo0Xiazhen Xu1Kangyu Zhang2Zhengquan Li3Weijiao Huang4Lamin R. Mansaray5Weiwei Liu6Xiuzhen Wang7Jian Gao8Jingfeng Huang9Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, ChinaJiangsu Climate Centre, Jiangsu Meteorological Bureau, Nanjing 210009, ChinaInstitute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, ChinaZhejiang Climate Centre, Zhejiang Meteorological Bureau, Hangzhou 310007, ChinaDepartment of Land Management, Zhejiang University, Hangzhou 310058, ChinaInstitute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, ChinaInstitute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, ChinaInstitute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou 311121, ChinaInstitute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou 311121, ChinaInstitute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, ChinaWind energy, as a vital renewable energy source, also plays a significant role in reducing carbon emissions and mitigating climate change. It is therefore of utmost necessity to evaluate ocean wind energy resources for electricity generation and environmental management. Ocean wind distribution around the globe can be obtained from satellite observations to compensate for limited in situ measurements. However, previous studies have largely ignored uncertainties in ocean wind energy resources assessment with multiple satellite data. It is against this background that the current study compares mean wind speeds (MWS) and wind power densities (WPD) retrieved from scatterometers (QuikSCAT, ASCAT) and radiometers (WindSAT) and their different combinations with National Data Buoy Center (NDBC) buoy measurements at heights of 10 m and 100 m (wind turbine hub height) above sea level. Our results show an improvement in the accuracy of wind resources estimation with the use of multiple satellite observations. This has implications for the acquisition of reliable data on ocean wind energy in support of management policies.http://www.mdpi.com/2072-4292/10/1/100wind energy resourcesQuikSCATWindSATASCATglobal ocean |
| spellingShingle | Qiaoying Guo Xiazhen Xu Kangyu Zhang Zhengquan Li Weijiao Huang Lamin R. Mansaray Weiwei Liu Xiuzhen Wang Jian Gao Jingfeng Huang Assessing Global Ocean Wind Energy Resources Using Multiple Satellite Data Remote Sensing wind energy resources QuikSCAT WindSAT ASCAT global ocean |
| title | Assessing Global Ocean Wind Energy Resources Using Multiple Satellite Data |
| title_full | Assessing Global Ocean Wind Energy Resources Using Multiple Satellite Data |
| title_fullStr | Assessing Global Ocean Wind Energy Resources Using Multiple Satellite Data |
| title_full_unstemmed | Assessing Global Ocean Wind Energy Resources Using Multiple Satellite Data |
| title_short | Assessing Global Ocean Wind Energy Resources Using Multiple Satellite Data |
| title_sort | assessing global ocean wind energy resources using multiple satellite data |
| topic | wind energy resources QuikSCAT WindSAT ASCAT global ocean |
| url | http://www.mdpi.com/2072-4292/10/1/100 |
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