TY - JOUR
T1 - Development of Floating Light Detection and Ranging (LiDAR) Motion Compensation Program for Wind Resource Evaluation
AU - Yu, Ji Hwan
AU - Kim, Cheolwoong
AU - Yoo, Jeonghoon
AU - Lee, Kyunghoon
AU - Jung, Mid Um
N1 - Publisher Copyright:
© 2022 The Korean Society of Mechanical Engineers.
PY - 2022
Y1 - 2022
N2 - The floating light detection and ranging (LiDAR), which measures wind resources at sea, is affected by its movement. Hence, it may overestimate the turbulence intensity. The aim of this study is to develop a program that calculates the corrected wind speed and turbulence intensity by compensating for the movement of the floating LiDAR using a motion reference unit (MRU) sensor. This program synchronizes the measurement time interval of LiDAR and MRU sensor and calculates the correction speed by synchronizing the coordinate system of both devices. For speed correction, it is essential to precisely select the neck position in the figure-of-eight shape that indicates the wind condition. A method for selecting it using machine learning is introduced. The configured program enables the user to select the desired height and time and evaluate the corresponding data. MATLAB® is used for programming and the machine learning process.
AB - The floating light detection and ranging (LiDAR), which measures wind resources at sea, is affected by its movement. Hence, it may overestimate the turbulence intensity. The aim of this study is to develop a program that calculates the corrected wind speed and turbulence intensity by compensating for the movement of the floating LiDAR using a motion reference unit (MRU) sensor. This program synchronizes the measurement time interval of LiDAR and MRU sensor and calculates the correction speed by synchronizing the coordinate system of both devices. For speed correction, it is essential to precisely select the neck position in the figure-of-eight shape that indicates the wind condition. A method for selecting it using machine learning is introduced. The configured program enables the user to select the desired height and time and evaluate the corresponding data. MATLAB® is used for programming and the machine learning process.
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U2 - 10.3795/KSME-A.2022.46.10.905
DO - 10.3795/KSME-A.2022.46.10.905
M3 - Article
AN - SCOPUS:85141320341
SN - 1226-4873
VL - 46
SP - 905
EP - 913
JO - Transactions of the Korean Society of Mechanical Engineers, A
JF - Transactions of the Korean Society of Mechanical Engineers, A
IS - 10
ER -