Utilizing high fidelity data into engineering model calculations for accurate wind turbine performance and load assessments under design load cases

Bangga, Galih; Parkinson, Stephen T.; Lutz, Thorsten

doi:10.1049/rpg2.12649

Cited by 5 publications

(6 citation statements)

References 48 publications

(106 reference statements)

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“…In contrast, Vortexline calculations yield strong induction dynamics especially in tangential component. A similar observation was made in [10] even for power production case. The inclusion of the shed vortex effect further increase the dynamics to a certain degree.…”

Section: Effects Of Shed Vortex Induction In Vortexline Calculationssupporting

confidence: 83%

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Technical modeling challenges for large idling wind turbines

Bangga,

Carrion,

Collier

et al. 2023

J. Phys.: Conf. Ser.

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This paper presents comprehensive investigations into idling instability occurring on the IEA 15 MW reference turbine. The systematic studies are carried out by means of Blade Element Momentum (BEM) and free wake vortex (Vortexline) methods. Two state-of-the-art dynamic stall models are tested in the present investigations, namely the Beddoes-Leishman and the IAG dynamic stall models, implemented into a development version of the wind turbine design code Bladed. The studies highlight the importance of unsteady aerodynamic modeling to predict idling instabilities and emphasize the characteristics of each modeling strategy. It is demonstrated that the IAG dynamic stall model predicts a more physically reasonable idling instabilities. Furthermore, Vortexline enables the calculations of the induced velocities even under idling conditions in contrast to BEM. The combination of the Vortexline method and the IAG model is considered to provide the most reasonable turbine response. The studies will be helpful for load engineers to select appropriate modeling strategies and shed some light into future engineering modeling improvements of wind turbines.

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Section: Effects Of Shed Vortex Induction In Vortexline Calculationssupporting

confidence: 83%

“…The code has been improved over the time accommodating several latest development in the field. Several publications documented verification studies of the Bladed code performance [8][9][10][11].…”

Section: Methodsmentioning

confidence: 99%

Technical modeling challenges for large idling wind turbines

Bangga,

Carrion,

Collier

et al. 2023

J. Phys.: Conf. Ser.

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“…Runaway at high λ may be associated with the blade element lift and drag changing from the two-dimensional values used here. There is a long history of three-dimensional corrections to airfoil data, e.g., Bangga et al (2023), which should be investigated in future experiments. On the other hand, high λ is likely to reduce the effective blade sweep caused by the large v velocities as the rotor flow expands significantly.…”

Section: Figurementioning

confidence: 99%

A revision of blade element/momentum theory for wind turbines in their high-thrust region

Wood,

Golmirzaee

2023

Front. Energy Res.

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Modern horizontal-axis wind turbines produce maximum power at an optimal tip speed ratio, λopt, of around 7. This is also the approximate start of the high-thrust region, which extends to runaway at λR ≈ 2λopt where no power is produced and the thrust is maximized. The runaway thrust coefficient often exceeds unity. It is well known that the conventional axial momentum equation must be modified whenever the thrust coefficient approaches unity, but most past modifications have no sound physical basis. Our main revision is to include the “wake vorticity” term in the axial momentum balance. This term is related to blade element drag and acts to decouple the thrust from the induced axial velocity when it becomes large near the edge of the rotor as the runaway is approached. The wake vorticity term dominates the axial momentum equation in these conditions and leads to estimates of power and thrust that are consistent with the limited amount of high-quality experimental data in the high-thrust region.

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“…The inclusion of the wind farm effects in the loads analyses can be done in an accurate manner by using high fidelity computational fluid dynamics (CFD) calculations [7][8][9], engineering tools [1,10,11] or quite recently based on data driven approaches [12,13]. However, the main challenge with the DLC analyses is the amount of simulations required for the design process.…”

Section: Introductionmentioning

confidence: 99%

“…In the present work, an attempt to incorporate the wake effects into the wind turbine design tool Bladed [9,14,15] will be documented. The wind farm effects are extracted from a wind farm solver LongSim [1,16] and these are incorporated into Bladed simulations to obtain time accurate load analyses.…”

Section: Introductionmentioning

confidence: 99%

BladedFarmWake: A framework for evaluating the influence of upstream wakes on turbine loads using Bladed

Bangga,

Bossanyi

2024

J. Phys.: Conf. Ser.

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A new framework “BladedFarmWake” to include the upstream wake effects into a wind turbine design tool Bladed was developed in the present work. The effects of neighboring turbines in a wind farm are extracted from a wind farm flow solver LongSim, which has been developed for designing wind farm controllers and evaluating wind farm performance, taking account of atmospheric conditions and wake effects including the importance of turbine layouts and individual turbine or wind farm control strategies. These wind farm effects are incorporated into Bladed simulations to obtain time accurate load analyses. BladedFarmWake is designed to work with less human interaction as much as possible, allowing the tool to be adopted in large scale load analyses within the wind turbine design load cases (DLCs). It is demonstrated that the timeseries of the wind flow field and the wake meandering effects are successfully modelled in the framework. The effects of velocity deficit and the wake added turbulence are well captured in the generated turbulent data. As a consequence of the velocity deficit from the upstream turbine, the hub load changes considerably due to the wake meandering effects. The newly developed integrated framework will be of value for wind turbine engineers to incorporate wind farm effects in the design process.

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Utilizing high fidelity data into engineering model calculations for accurate wind turbine performance and load assessments under design load cases

Cited by 5 publications

References 48 publications

Technical modeling challenges for large idling wind turbines

Technical modeling challenges for large idling wind turbines

A revision of blade element/momentum theory for wind turbines in their high-thrust region

BladedFarmWake: A framework for evaluating the influence of upstream wakes on turbine loads using Bladed

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