Frontiers of Earth Science

, Volume 13, Issue 1, pp 132–150 | Cite as

Onshore-offshore wind energy resource evaluation based on synergetic use of multiple satellite data and meteorological stations in Jiangsu Province, China

  • Xianglin Wei
  • Yuewei Duan
  • Yongxue LiuEmail author
  • Song Jin
  • Chao Sun
Research Article


The demand for efficient and cost-effective renewable energy is increasing as traditional sources of energy such as oil, coal, and natural gas, can no longer satisfy growing global energy demands. Among renewable energies, wind energy is the most prominent due to its low, manageable impacts on the local environment. Based on meteorological data from 2006 to 2014 and multi-source satellite data (i.e., Advanced Scatterometer, Quick Scatterometer, and Windsat) from 1999 to 2015, an assessment of the onshore and offshore wind energy potential in Jiangsu Province was performed by calculating the average wind speed, average wind direction, wind power density, and annual energy production (AEP). Results show that Jiangsu has abundant wind energy resources, which increase from inland to coastal areas. In onshore areas, wind power density is predominantly less than 200 W/m2, while in offshore areas, wind power density is concentrates in the range of 328–500 W/m2. Onshore areas comprise more than 13,573.24 km2, mainly located in eastern coastal regions with good wind farm potential. The total wind power capacity in onshore areas could be as much as 2.06 × 105 GWh. Meanwhile, offshore wind power generation in Jiangsu Province is calculated to reach 2 × 106 GWh, which is approximately four times the electricity demand of the entire Jiangsu Province. This study validates the effective application of Advanced Scatterometer, Quick Scatterometer, and Windsat data to coastal wind energy monitoring in Jiangsu. Moreover, the methodology used in this study can be effectively applied to other similar coastal zones.


wind energy resource wind power density ASCAT QuikSCAT Windsat 


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This research was supported by the Jiangsu Provincial Natural Science Foundation (Grant No. BK20160023) and the National Natural Science Foundation of China (Grant Nos. 41471068, 41230751, and 41171325). Note that any errors or shortcomings in the paper are the responsibility of the authors.

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Copyright information

© Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Xianglin Wei
    • 1
    • 2
  • Yuewei Duan
    • 3
  • Yongxue Liu
    • 1
    • 2
    • 4
    Email author
  • Song Jin
    • 1
  • Chao Sun
    • 1
  1. 1.Department of Geographic Information ScienceNanjing UniversityNanjingChina
  2. 2.Key Laboratory of Coastal Zone Development and ProtectionMinistry of Land and Resources of ChinaNanjingChina
  3. 3.Yunnan Transportation Planning and Design InstituteKunmingChina
  4. 4.Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and ApplicationNanjingChina

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