In:
Wind Energy Science, Copernicus GmbH, Vol. 7, No. 1 ( 2022-02-07), p. 283-297
Kurzfassung:
Abstract. Long-range Doppler wind lidars are applied more and more for high-resolution areal measurements in and around wind farms.
Proper alignment, or at least knowledge on how the systems are aligned, is of great relevance here. The paper describes in detail two methods that allow a very accurate alignment of a long-range scanning lidar without the use of extra equipment or sensors.
The well-known so-called hard targeting allows a very precise positioning and north alignment of the lidar using the known positions of the surrounding obstacles, e.g. wind turbine towers. Considering multiple hard targets instead of only one with a given position in an optimization algorithm allows us to increase the position information of the lidar device and minimizes the consequences of using erroneous input data.
The method, referred to as sea surface levelling, determines the levelling of the device during offshore campaigns in terms of roll and pitch angles based on distance measurements to the water surface. This is particularly well-suited during the installation of the systems to minimize alignment error from the start, but it can also be used remotely during the measurement campaign for verification purposes.
We applied and validated these methods to data of an offshore measurement campaign, where a commercial long-range scanning lidar was installed on the transition piece platform of a wind turbine.
In addition, we present a model that estimates the quasi-static inclination of the device due to the thrust loading of the wind turbine at different operating conditions.
The results show reliable outcomes with a very high accuracy in the range of 0.02∘ in determining the levelling.
The importance of the exact alignment and the possible applications are discussed in this paper.
In conclusion, these methods are useful tools that can be applied without extra effort and contribute significantly to the quality of successful measurement campaigns.
Materialart:
Online-Ressource
ISSN:
2366-7451
DOI:
10.5194/wes-7-283-2022
Sprache:
Englisch
Verlag:
Copernicus GmbH
Publikationsdatum:
2022
ZDB Id:
2846783-8
