부유식 라이다 시스템 모션 보정 알고리즘의 구현 및 검증
Implementation and validation of a motion compensation algorithm for Floating LiDAR System
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Due to the limitations of onshore wind power, the wind power industry is currently transitioning to offshore wind power. There has been active research on the development of a floating LiDAR system (FLS) that is easy to install at a low cost. The Carbon Trust published a commercialization roadmap for FLS in 2013, and an updated version was released in 2018, taking into account industry experience. The roadmap divides the development maturity of FLS into three stages: Stage 1 (prototype), Stage 2 (pre-commercialization), and Stage 3 (commercialization), each of which requires availability and accuracy assessment. The results must meet the requirements of the Key Performance Index (KPI) for each stage. Therefore, when developing FLS, the motion compensation algorithm of the FLS is essential because the LiDAR can produce incorrect measurements of wind speed and direction due to the six degrees of freedom in motion. In this study, we implemented the FLS motion compensation algorithm developed by Nassif, F.B. et al. and validated it using data provided by Fraunhofer. In conclusion, the results showed that the determination coefficients of wind speed and wind direction were improved compared to those obtained from the met mast.
Abstract
Due to the limitations of onshore wind power, the wind power industry is currently transitioning to offshore wind power. There has been active research on the development of a floating LiDAR system (FLS) that is easy to install at a low cost. The Carbon Trust published a commercialization roadmap for FLS in 2013, and an updated version was released in 2018, taking into account industry experience. The roadmap divides the development maturity of FLS into three stages: Stage 1 (prototype), Stage 2 (pre-commercialization), and Stage 3 (commercialization), each of which requires availability and accuracy assessment. The results must meet the requirements of the Key Performance Index (KPI) for each stage. Therefore, when developing FLS, the motion compensation algorithm of the FLS is essential because the LiDAR can produce incorrect measurements of wind speed and direction due to the six degrees of freedom in motion. In this study, we implemented the FLS motion compensation algorithm developed by Nassif, F.B. et al. and validated it using data provided by Fraunhofer. In conclusion, the results showed that the determination coefficients of wind speed and wind direction were improved compared to those obtained from the met mast.
참고문헌 (22)
- Zheng, S., "Efficient optimization design method of jacket structures for offshore wind turbines", Marine Structures, 89 (2023)
- Li, H., "An Improved Failure Mode and Effect Analysis of Floating Offshore Wind Turbines", Journal of Marine Science and Engineering, 10(11) (2022)[DOI]
- Xia, J., "Operation and maintenance optimization of offshore wind farms based on digital twin: A review", Ocean Engineering, 268 (2023)[DOI]
- Wu, Y., "A New Mooring System for Floating Offshore Wind Turbines: Theory, Design and Industrialization", Paper presented at the Offshore Technology Conference (2023)
- "The use of LIDAR over Met Masts is a cost-effective technology" (2017)[URL]
- Carbon Trust, "Offshore Wind Accelerator Recommended Practices for Floating LiDAR System", Carbon Trust, ~ (2016)
- 김현구, "국가바람지도 및 지리정보시스템 기반의 해상풍력단지 입지전략 연구", 한국환경과학회지, 18(8), pp.877~883 (2009), 한국환경과학회
- Carbon Trust, "OWA Floating LiDAR Roadmap Update-Deployments of Floating LiDAR Systems", Carbon Trust, ~ (2018)
- "IEC TC 88, IEC 61400-50-4"[URL]
- Leosphere, "WindCube v2 LiDAR Remote Sensor User Manual version 06", Leosphere, 18~19
- Désert, T., "Quantification and Correction of Wave-Induced Turbulence Intensity Bias for a Floating LIDIA System", Remote Sensing, 13(15), pp.2973~ (2021)
- Kelberlau, F., "Taking the motion out of floating lidar: Turbulence intensity estimates with a continuous-wave wind lidar", Remote Sensing, 12(5), pp.898~ (2020)
- "Specification of CODA Octopus F175 series"[URL]
- Pitter, M., "Remote sensing on floating offshore platforms", Windtech (2015)
- Sathe, A., "IEA Wind Expert Report" (2015), DTUWind Energy
- Nassif, F. B., "Wind measurements using a LIDIA on a buoy", Revista Brasileira de Recursos Hídricos Brazilian Journal of Water Resources (RBRH), 25 (2020)
- Gottschall, J., "Floating lidar as an advanced offshore wind speed measurement technique: current technology status and gap analysis in regard to full maturity", Wiley Interdisciplinary Reviews : Energy and Environment, 6(5), pp.e250~ (2017)[DOI]
- "Fino data center"[URL]
- Leiding, T., "Standardization of Meteorological Data from FINO Offshore Platforms", EGU General Assembly Conference, pp.10988~ (2015)
- Hatfield, D., "Stability information derived from a floating lidar system using bulk Richardson formulation", Journal of physics:conference series (2022)
- 강동범, "지상기반 라이다의 측정 오차에 영향을 미치는 요인 분석", 한국태양에너지학회 논문집, 37(6), pp.25~37 (2017), 한국태양에너지학회[DOI]
- Carbon Trust, "Carbon Trust Offshore Wind Accelerator Roadmap for the Commercial Acceptance of Floating LiDAR Technology, ver. 2.0", ~ (2018)