Assessing Global Ocean Wind Energy Resources Using Multiple Satellite Data

Qiaoying Guo; Xiazhen Xu; Kangyu Zhang; Zhengquan Li; Weijiao Huang; Lamin R. Mansaray; Weiwei Liu; Xiuzhen Wang; Jian Gao; Jingfeng Huang

doi:10.3390/rs10010100

Remote Sensing (Jan 2018)

Assessing Global Ocean Wind Energy Resources Using Multiple Satellite Data

Qiaoying Guo,
Xiazhen Xu,
Kangyu Zhang,
Zhengquan Li,
Weijiao Huang,
Lamin R. Mansaray,
Weiwei Liu,
Xiuzhen Wang,
Jian Gao,
Jingfeng Huang

Affiliations

Qiaoying Guo: Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China
Xiazhen Xu: Jiangsu Climate Centre, Jiangsu Meteorological Bureau, Nanjing 210009, China
Kangyu Zhang: Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China
Zhengquan Li: Zhejiang Climate Centre, Zhejiang Meteorological Bureau, Hangzhou 310007, China
Weijiao Huang: Department of Land Management, Zhejiang University, Hangzhou 310058, China
Lamin R. Mansaray: Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China
Weiwei Liu: Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China
Xiuzhen Wang: Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou 311121, China
Jian Gao: Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou 311121, China
Jingfeng Huang: Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China

DOI: https://doi.org/10.3390/rs10010100
Journal volume & issue: Vol. 10, no. 1
p. 100

Abstract

Read online

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.

Published in Remote Sensing

ISSN: 2072-4292 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Science
Website: http://www.mdpi.com/journal/remotesensing/

About the journal

Abstract

Keywords