Impact of high size distributed roughness elements on wind turbine performance

Méndez, Beatriz S.; Pires, Oscar César

doi:10.1088/1742-6596/2265/3/032027

Cited by 2 publications

(3 citation statements)

References 8 publications

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“…By this way, the Simplified Aerodynamic Loss Tool (SALT) and the more advanced OpenFAST tool results are compared and presented in Table 4. The predicted AEP losses with both tools are on the same order and comparable with AEP losses predicted in previous works [13]. It can be seen that the results are significantly close to each other.…”

Section: Openfast and Salt Resultssupporting

confidence: 86%

“…Another study on operational wind farms by quantification of energy losses associated with LEE shows an average AEP loss of 1.8 % for medium levels of erosion, and the worst affected turbine with an AEP loss of 4.9 % [7]. Recent experimental [17] and numerical [13] studies report AEP losses of about 4%, which might be increased up to 6% when related to loss of top coat on the leading edge [19].…”

Section: Introductionmentioning

confidence: 99%

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Determination of annual energy production loss due to erosion on wind turbine blades

Özçakmak,

Bretos,

Méndez

et al. 2024

J. Phys.: Conf. Ser.

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Increasing size of the modern wind turbines amplifies the issues of leading-edge erosion, especially on the outboard sections of the blades, impacting both their structural integrity and aerodynamic efficiency. Predicting and detection of the aerodynamic losses which occurs before a noticeable structural degradation on the blade can be crucial for operational predictive maintenance strategies to avoid significant loss production. This paper presents the results from the collaborative study between DTU and CENER in order to investigate the influence of leading-edge erosion on wind turbine aerodynamic performance. For this purpose, three distinct erosion scenarios are analyzed by means of computational fluid dynamics (CFD), both 2D and 3D, blade-element momentum theory (BEM) based solver (OpenFAST) and a Simplified Aerodynamic Loss Tool (SALT). The results from previous studies are used as an input for these tools, with outputs from each tool complementing and reinforcing one another. Furthermore, annual energy production (AEP) reductions due to leading-edge erosion across these tools are compared and validation of the SALT tool is presented. It is observed that the thrust and power losses from both CFD and OpenFAST exhibit comparable results and for a severe erosion case, spanning the last third of the blade, results in a 4.3 % reduction in the annual energy production.

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Section: Openfast and Salt Resultssupporting

confidence: 86%

Section: Introductionmentioning

confidence: 99%

Determination of annual energy production loss due to erosion on wind turbine blades

Özçakmak,

Bretos,

Méndez

et al. 2024

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

“…The performance losses due to blade erosion are difficult to be measured on the field. Some experimental [5] and numerical [6] studies report AEP losses of about 4%, which might be increased up to 6% when related to loss of top coat on the leading edge [2]. The understanding of precipitation characteristics, such as droplet size and distribution, velocity and type of precipitation, is necessary to develop blade damage models and control strategies that help to reduce the operation and maintenance costs caused by blade erosion on wind turbines.…”

Section: Introductionmentioning

confidence: 99%

Experimental campaign for the characterization of precipitation in a complex terrain site using high resolution observations

Méndez,

Saenz,

Pires

et al. 2024

J. Phys.: Conf. Ser.

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Precipitation has an effect on wind power at several levels. It affects the wind current, blade status, wake development and power production. Power production is affected by the harmful effect of precipitation on the blades eroding its surface and altering their aerodynamic performance. In the past decades, wind has been characterized using different techniques, but less effort has been devoted to precipitation measurement. In this work, the results of an experimental campaign performed at a high altitude complex terrain site to characterize precipitation using high resolution observations are presented. The campaign, carried out at CENER’s experimental wind farm (Alaiz) during 2023 within the framework of the Horizon Europe AIRE project, lasted nine months and different precipitation types (rain, snow, graupel) were recorded using a Micro Rain Radar (MRR), a Parsivel disdrometer and a rain gauge co-located with an instrumented wind mast with anemometers and wind vanes at different heights. Two case studies are selected to illustrate the wide range of variability found in precipitation conditions, particularly during the cool season. Precipitation characterization is very challenging at high temporal resolution, making necessary measurement campaigns with different precipitation equipment to optimize their performance and optimise its calibration. The study of precipitation profiles with MRR will support the study of precipitation impingement on wind turbine blades responsible of blade erosion. Moreover, these measurements will contribute to create the link between in-field wind farm data, laboratory experiments in rain erosion test rig and blade damage models necessary to improve wind turbine and wind farm design and operation.

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Impact of high size distributed roughness elements on wind turbine performance

Abstract: NOTITLE.

Cited by 2 publications

References 8 publications

Determination of annual energy production loss due to erosion on wind turbine blades

Determination of annual energy production loss due to erosion on wind turbine blades

Experimental campaign for the characterization of precipitation in a complex terrain site using high resolution observations

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