2022
DOI: 10.3390/rs14194704
|View full text |Cite
|
Sign up to set email alerts
|

Enhanced Dual Filter for Floating Wind Lidar Motion Correction: The Impact of Wind and Initial Scan Phase Models

Abstract: An enhanced filter for floating Doppler wind lidar motion correction is presented. The filter relies on an unscented Kalman filter prototype for floating-lidar motion correction without access to the internal line-of-sight measurements of the lidar. In the present work, we implement a new architecture based on two cooperative estimation filters and study the impact of different wind and initial scan phase models on the filter performance in the coastal environment of Barcelona. Two model combinations are consi… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
0
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 8 publications
(10 citation statements)
references
References 43 publications
(77 reference statements)
0
0
0
Order By: Relevance
“…The first location (76.95 m) is chosen so that the position of the beams (50 m upstream the lidar) and their probe volume (z R = 24.75 m) are within the turbulence box, which is defined here to start at x = 2 m. For each of these i = 450 locations, we determine the position of a virtual ideal anemometer as [x, y, z] = x l (i) + n (1,1) f d , 0, z l0 , where z l0 = 64 m, f d = 51.95 m is the beam focused distance at a range 50 m, and n from Eqn. (1). The Wind Iris beams are then measuring at positions…”
Section: Methods To Determine the Impact Of Turbine Motion On The Win...mentioning
confidence: 99%
See 1 more Smart Citation
“…The first location (76.95 m) is chosen so that the position of the beams (50 m upstream the lidar) and their probe volume (z R = 24.75 m) are within the turbulence box, which is defined here to start at x = 2 m. For each of these i = 450 locations, we determine the position of a virtual ideal anemometer as [x, y, z] = x l (i) + n (1,1) f d , 0, z l0 , where z l0 = 64 m, f d = 51.95 m is the beam focused distance at a range 50 m, and n from Eqn. (1). The Wind Iris beams are then measuring at positions…”
Section: Methods To Determine the Impact Of Turbine Motion On The Win...mentioning
confidence: 99%
“…Offshore measurements of mean winds and turbulence at modern turbine operating heights are rare and expensive. This is the reason why vertical profiling floating lidars are nowadays the standard for offshore wind energy measurements [1]. However, turbulence measurements from floating lidars are strongly impacted by the motion of the buoys in which they are deployed on [2,3,4,5].…”
Section: Introductionmentioning
confidence: 99%
“…The wave-induced motion problem has been extensively addressed with specialized motion-correction algorithms designed to work at different frequency regimes. Salcedo-Bosch et al [9,10] proposed a solution around the 1-Hz region which relies on an Unscented Kalman filter prototype to provide motion compensation in the absence of LiDAR high-frequency line-of-sight measurements. In contrast, [11,12,13], have tackled the issue at higher frequency rates, 50Hz.…”
Section: Introductionmentioning
confidence: 99%
“…Accurate determination of wind speed offshore is important for the progression of offshore wind energy. Floating Doppler lidars offer precise measurements of the wind [1,2], but sometimes it is more convenient to place the lidar on a fixed footing, such as a transition piece of a fixed-bottom wind turbine, or on the coast. In these cases, long-ranging scanning lidars operating in an arcscanning mode offer both wind speed and direction measurements.…”
Section: Introductionmentioning
confidence: 99%