Evaluation of an Offshore Wind Farm by Using Data from the Weather Station, Floating LiDAR, Mast, and MERRA

Cheng-Dar Yue, Yi-Shegn Chiu, Chien-Cheng Tu and Ta-Hui Lin
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Cheng-Dar Yue: Department of Landscape Architecture, National Chiayi University, No. 300, Syuefu Rd., Chiayi 600, Taiwan
Yi-Shegn Chiu: Department of Landscape Architecture, National Chiayi University, No. 300, Syuefu Rd., Chiayi 600, Taiwan
Chien-Cheng Tu: Research Center for Energy Technology and Strategy, National Cheng Kung University, No.25, Xiaodong Rd., North Dist., Tainan City 704, Taiwan
Ta-Hui Lin: Department of Mechanical Engineering, National Cheng Kung University, No.1, University Road, Tainan City 701, Taiwan

Energies, 2020, vol. 13, issue 1, 1-20

Abstract: Offshore wind energy is regarded as a key alternative to fossil fuels in many parts of the world. Its exploitation is based on the sound evaluation of wind resources. This study used data from a meteorological mast, a floating light detection and ranging (LiDAR) device, and the Modern-Era Retrospective Analysis for Research and Applications, a reanalysis data set established by the NASA Center for Climate Simulation, to evaluate wind resources of the Changhua-South Offshore Wind Farm. The average wind speeds evaluated at a height of 105 m in the studied wind farm were 7.97 and 8.02 m/s according to the data obtained from the floating LiDAR device and a mast, respectively. The full-load hours were 3320.5 and 3296.5 h per year when data from the LiDAR device and mast were used, respectively. The estimated annual energy production (AEP) with a probability of 50% ( P 50 ) reached 314 GWh/y, whereas the AEPs with a probability of 75% ( P 75 ) and with a probability of 90% ( P 90 ) were 283 GWh/y and 255 GWh/y, respectively. The estimated AEP of P 75 was 90% of the AEP of P 50 , whereas the estimated AEP of P 90 was 81% of the AEP of P 50 . This difference might need to be considered when assessing the risk of financing a wind project.

Keywords: meteorological mast; floating LiDAR; MERRA; energy production prediction (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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