Refined Assessment Method of Offshore Wind Resources Based on Interpolation Method

Wenchuan Meng (), Zaimin Yang, Zhi Rao, Shuang Li, Xin Lin, Jingkang Peng, Yuwei Cao and Yingquan Chen ()
Additional contact information
Wenchuan Meng: Energy Development Research Institute, China Southern Power Grid, Guangzhou 510530, China
Zaimin Yang: Energy Development Research Institute, China Southern Power Grid, Guangzhou 510530, China
Zhi Rao: Energy Development Research Institute, China Southern Power Grid, Guangzhou 510530, China
Shuang Li: Energy Development Research Institute, China Southern Power Grid, Guangzhou 510530, China
Xin Lin: Power Grid Planning Research Center, Guangxi Power Grid, Nanning 530023, China
Jingkang Peng: School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Yuwei Cao: School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Yingquan Chen: School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Energies, 2025, vol. 18, issue 1, 1-17

Abstract: To enhance the prediction accuracy of offshore wind speed, this study employs an interpolation algorithm to improve spatial resolution based on the ERA5 reanalysis dataset. The objective is to identify the optimal interpolation method and apply it to wind energy assessments in the South China Sea. This paper compares the interpolation effects and accuracy of Linear, Cubic, and Bicubic interpolation methods on wind speed data, with the optimal method subsequently applied to evaluate wind resources in the South China Sea for 2023. The findings indicate that, while different interpolation methods minimally affect the correlation of wind speed data, there are notable differences in their impact on overall accuracy. The Cubic interpolation method proved to be the most effective, tripling spatial resolution and reducing wind speed errors in ERA5 data by 26%. Using this method, wind resource assessments were conducted in selected areas of the South China Sea. Results reveal that the annual available operational hours for wind turbines in most parts of the region range from 2000 to 4000 h, with fluctuations in turbine output power increasing alongside available operational hours.

Keywords: offshore wind power; interpolation; ERA5; wind resource assessment (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/18/1/213/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/1/213/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:18:y:2025:i:1:p:213-:d:1561067

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().