Evaluation and characterization of offshore wind resources with long-term met mast data corrected by wind lidar
- Authors
- Kim, Ji-Young; Oh, Ki-Yong; Kim, Min-Suek; Kim, Kwang-Yul
- Issue Date
- Dec-2019
- Publisher
- PERGAMON-ELSEVIER SCIENCE LTD
- Keywords
- Offshore wind farm; Offshore wind energy; Wind resources; Wind lidar; Meteorological mast; Long-term measurements
- Citation
- RENEWABLE ENERGY, v.144, no.SI, pp.41 - 55
- Indexed
- SCIE
SCOPUS
- Journal Title
- RENEWABLE ENERGY
- Volume
- 144
- Number
- SI
- Start Page
- 41
- End Page
- 55
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/189763
- DOI
- 10.1016/j.renene.2018.06.097
- ISSN
- 0960-1481
- Abstract
- Wind resource assessments with onsite wind data are indispensable when estimating the economic feasibility of developing a large-scale commercial offshore wind farm. However, several factors of the data measured from a meteorological mast, including short observation period and instrument errors, may result in uncertainty concerning wind resource assessments. To mitigate the uncertainty of wind resource assessments at the candidate site for a large-scale commercial offshore wind farm, HeMOSU-1, the first offshore meteorological mast in Asia, has been in operation for more than 6 years since it was installed at the western coast of the Korean Peninsula in 2010. A vertical wind lidar was also installed for quantitative evaluations and calibrations of the measured data from HeMOSU-1. This study analyzed several parameters associated with the long-term wind characteristics through cross-validation between HeMOSU-1 and the wind lidar. The parameters affecting the prediction results include the shading effect from the mast, year-to-year variation, the long-term correction methods, and the period of onsite measurements. Based on this analysis, long-term wind potentials are estimated with reliable parameters. (C) 2018 Elsevier Ltd. All rights reserved.
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