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A platform for research: civil engineering, architecture and urbanism
Wind turbine load validation under wake conditions using Doppler lidar
A significant source of uncertainty in energy productions and lifetime predictions of wind farms is the wake-induced effects by neighbouring turbines. In the current state-of the-art procedure, engineering wake models, i.a., the Dynamic Wake Meandering (DWM) model, are typically used to simulate flow fields within wind farms. These models are suitable for carrying out hundreds to thousands of aeroelastic simulations required in an iterative design and optimization study. However, engineering wake models are subjected to a significant uncertainty level due to the simplistic flow modelling assumptions, incorrect calibration of the model parameters, and unknown confidence in the overall model prediction ability due to lack of adequate experimental data for model validation. As wake-induced power and loads are an essential design factor, there is a strong need to accurately simulate wake fields to ensure reliable wind turbine designs and optimized wind farm layouts and operational strategies. The present thesis focuses on wind turbine load validation procedures under wake conditions using nacelle-mounted lidars (LIght Detection And Ranging). These lidars can measure the inflow wind at a high spatial and temporal resolution, yielding much more insight into the actual inflow approaching the turbine rotor. This thesis’s primary purpose is to improve the accuracy and reduce the uncertainty in load assessments under wake conditions by demonstrating load validation procedures using measurements from nacelle lidars. Two hypotheses are formulated: (I) incorporating nacelle-lidar measurements in the wake field reconstruction methods improves the accuracy of power and load predictions compared to engineering wake models, (II) calibrating engineering wake models using high-resolution nacelle-lidar measurements improves the accuracy in both wake simulations and power and load assessments. Three lidar-based wake field reconstruction procedures are defined and evaluated numerically and experimentally to verify the first ...
Wind turbine load validation under wake conditions using Doppler lidar
A significant source of uncertainty in energy productions and lifetime predictions of wind farms is the wake-induced effects by neighbouring turbines. In the current state-of the-art procedure, engineering wake models, i.a., the Dynamic Wake Meandering (DWM) model, are typically used to simulate flow fields within wind farms. These models are suitable for carrying out hundreds to thousands of aeroelastic simulations required in an iterative design and optimization study. However, engineering wake models are subjected to a significant uncertainty level due to the simplistic flow modelling assumptions, incorrect calibration of the model parameters, and unknown confidence in the overall model prediction ability due to lack of adequate experimental data for model validation. As wake-induced power and loads are an essential design factor, there is a strong need to accurately simulate wake fields to ensure reliable wind turbine designs and optimized wind farm layouts and operational strategies. The present thesis focuses on wind turbine load validation procedures under wake conditions using nacelle-mounted lidars (LIght Detection And Ranging). These lidars can measure the inflow wind at a high spatial and temporal resolution, yielding much more insight into the actual inflow approaching the turbine rotor. This thesis’s primary purpose is to improve the accuracy and reduce the uncertainty in load assessments under wake conditions by demonstrating load validation procedures using measurements from nacelle lidars. Two hypotheses are formulated: (I) incorporating nacelle-lidar measurements in the wake field reconstruction methods improves the accuracy of power and load predictions compared to engineering wake models, (II) calibrating engineering wake models using high-resolution nacelle-lidar measurements improves the accuracy in both wake simulations and power and load assessments. Three lidar-based wake field reconstruction procedures are defined and evaluated numerically and experimentally to verify the first ...
Wind turbine load validation under wake conditions using Doppler lidar
Conti, Davide (author)
2020-01-01
Conti , D 2020 , Wind turbine load validation under wake conditions using Doppler lidar . DTU Wind Energy PhD , no. 0105(EN) , DTU Wind Energy , Risø, Roskilde, Denmark . https://doi.org/10.11581/dtu:00000099
Book
Electronic Resource
English
DDC:
690
Development and validation of a new two-dimensional wake model for wind turbine wakes
| Online Contents | 2015