Accuracy Verification of Multiple Floating LiDARs at the Mutsu-Ogawara Site

Shogo Uchiyama (), Teruo Ohsawa, Hiroshi Asou, Mizuki Konagaya, Takeshi Misaki, Ryuzo Araki and Kohei Hamada
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Shogo Uchiyama: Graduate School of Maritime Sciences, Kobe University, 5-1-1 Fukae-minami, Higashinada-Ku, Kobe 658-0022, Japan
Teruo Ohsawa: Graduate School of Maritime Sciences, Kobe University, 5-1-1 Fukae-minami, Higashinada-Ku, Kobe 658-0022, Japan
Hiroshi Asou: International Meteorological & Oceanographic Consultants Co., Ltd., 9-9 Tsukiji 3-chome, Chuo-Ku, Tokyo 104-0045, Japan
Mizuki Konagaya: Graduate School of Maritime Sciences, Kobe University, 5-1-1 Fukae-minami, Higashinada-Ku, Kobe 658-0022, Japan
Takeshi Misaki: Graduate School of Maritime Sciences, Kobe University, 5-1-1 Fukae-minami, Higashinada-Ku, Kobe 658-0022, Japan
Ryuzo Araki: Japan Meteorological Corporation, Grand Front Osaka Tower-A 29F, 4-20 Ofukacho, Kita-Ku, Osaka 530-0011, Japan
Kohei Hamada: E&E Solutions Inc., Akihabara UDX Building, 14-1 Sotokanda 4-chome, Chiyoda-Ku, Tokyo 101-0021, Japan

Energies, 2024, vol. 17, issue 13, 1-26

Abstract: Floating LiDAR systems (FLSs) may replace conventional offshore met masts, and they have been developed well in Europe. However, before using them in Japan, we must determine whether they demonstrate the same performance under the unique East-Asian meteorological and oceanographic conditions. Therefore, herein, we investigate the performance of FLSs by focusing on the differences among models. Four independent wind datasets from three FLSs were simultaneously verified against a reference met mast and vertical LiDAR at a Japanese site. The data availability was confirmed to vary from 62.7 to 98.0% over the period at 63 m. This was strongly affected by the system availability of the buoy and LiDAR, suggesting that buoy system robustness is key to better campaigns with higher data availability. The 10 min averaged wind speed and direction largely satisfied the Carbon Trust’s key performance indicators, with a low sensitivity to wave conditions depending on the buoy shape. The standard deviation of the wind speed and turbulence intensity had poorer accuracy than that of the 10 min averaged statistics because of the wave-induced buoy motion, especially for small buoys. In short, this paper provides an overview of a measurement by FLS in Japan. Also, the unique verification with multiple units suggests the need for a low-motion buoy or motion compensation to improve the measurement accuracy of the turbulence component.

Keywords: offshore measurement; floating LiDAR system; turbulence intensity; sensitivity analysis; motion compensation (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: 2024
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