Empirical Motion Compensation for Turbulence Intensity Measurement by Floating LiDARs

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, 2025, vol. 18, issue 11, 1-16

Abstract: We propose an empirical motion compensation algorithm for a better turbulence intensity (TI) measurement by Floating LiDAR systems (FLSs) with a newly introduced motion parameter, the significant tilt angle θ α , 1 / 3 , using four datasets from three different FLSs in Japan. The parameter was compared to other environmental parameters; it was confirmed to well represent various types of buoy motion. A sensitivity assessment was conducted for the error of the FLS’s standard deviation of wind speed to the buoy motion. The strong correlation obtained by the assessment suggests that the error of the FLS TI is dominated by the motion and that it is possible to offset the error by applying the relationship back to the measurement. The corrected TI shows good agreement with that of a reference fixed vertical LiDAR (VL). Moreover, the similarity of the relationships for the same type of VL mounted on different buoys implies that the correction may be VL-specific rather than FLS-specific, and, therefore, universal regardless of the FLS type. The successful validation suggests that the correction based on θ α , 1 / 3 can be applied not only to the future campaign but also to those performed in the past to revitalize numerous existing FLS datasets.

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: 2025
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