5:15 PM - 7:15 PM
[MAG32-P08] Mutsu 2022 Intensive LiDAR Experiment: Investigation of Coastal Wind Transition Using Scanning and Floating LiDARs
Keywords:Coastal Wind Transition, Offshore Wind Energy, Turbulence Intensity, Remote Sensing Technology
Abstract
The coastal wind transition is a significant phenomenon, not only from a meteorological perspective but also for offshore wind energy applications. This is especially relevant in regions like Japan, where most offshore wind farms are expected to be located near the coast in the early stages of offshore wind development. When wind blows from land to sea, the wind speed—an essential parameter for energy production—tends to increase with distance from the coast, while the turbulence intensity (TI)—associated with the fatigue loads of wind turbines—tends to decrease. TI is defined as 10-minute standard deviation of wind speed divided by the mean value. These changes are primarily due to variations in dynamic and thermodynamic roughness across the coastline. In contrast, when wind blows from sea to land, the variations in wind speed and TI are more moderate compared to land-to-sea wind transition. In this study, we aim to observe and analyze such phenomena using remote sensing devices.
Measuring wind over the sea is challenging due to the technical and financial constraints of building meteorological masts. However, light detection and ranging (LiDAR) devices, which use remote sensing technology, have significantly mitigated the constraints in offshore wind energy measurement. In this presentation, we report on the Mutsu 2022 intensive experiment, which installed scanning and floating LiDARs to investigate the characteristics of the coastal wind transition. The field experiment was conducted at the Mutsu Ogawara test site, located in northern Japan, from December 2021 to March 2022. Windcube 200S scanning LiDARs were installed at onshore platforms, while floating LiDARs (AXYS WindSentinel and Fugro SEAWATCH) were installed at locations 3 and 5 km offshore. Additionally, onshore and offshore meteorological mast data were used for the analysis. The results from this field experiment will contribute to a better understanding of the complex phenomenon of coastal wind transition. Furthermore, the dataset of the experiment will be useful for validating numerical models.
Acknowledgements
This paper is based on results obtained from project JPNP07015 commissioned by the New Energy and Industrial Technology Development Organization (NEDO).
The coastal wind transition is a significant phenomenon, not only from a meteorological perspective but also for offshore wind energy applications. This is especially relevant in regions like Japan, where most offshore wind farms are expected to be located near the coast in the early stages of offshore wind development. When wind blows from land to sea, the wind speed—an essential parameter for energy production—tends to increase with distance from the coast, while the turbulence intensity (TI)—associated with the fatigue loads of wind turbines—tends to decrease. TI is defined as 10-minute standard deviation of wind speed divided by the mean value. These changes are primarily due to variations in dynamic and thermodynamic roughness across the coastline. In contrast, when wind blows from sea to land, the variations in wind speed and TI are more moderate compared to land-to-sea wind transition. In this study, we aim to observe and analyze such phenomena using remote sensing devices.
Measuring wind over the sea is challenging due to the technical and financial constraints of building meteorological masts. However, light detection and ranging (LiDAR) devices, which use remote sensing technology, have significantly mitigated the constraints in offshore wind energy measurement. In this presentation, we report on the Mutsu 2022 intensive experiment, which installed scanning and floating LiDARs to investigate the characteristics of the coastal wind transition. The field experiment was conducted at the Mutsu Ogawara test site, located in northern Japan, from December 2021 to March 2022. Windcube 200S scanning LiDARs were installed at onshore platforms, while floating LiDARs (AXYS WindSentinel and Fugro SEAWATCH) were installed at locations 3 and 5 km offshore. Additionally, onshore and offshore meteorological mast data were used for the analysis. The results from this field experiment will contribute to a better understanding of the complex phenomenon of coastal wind transition. Furthermore, the dataset of the experiment will be useful for validating numerical models.
Acknowledgements
This paper is based on results obtained from project JPNP07015 commissioned by the New Energy and Industrial Technology Development Organization (NEDO).