Experimental investigation of the effects of the Reynolds number on the performance and near wake of a wind turbine

Bourhis, Martin; Pereira, Michaël; Ravelet, Florent

doi:10.1016/j.renene.2023.03.093

Cited by 13 publications

(3 citation statements)

References 26 publications

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“…For dynamic similarity, the wind tunnel tests cannot match the large Reynolds number of full-scale wind turbines in nature. Combined with the existing studies on the Reynolds number effect caused by wind turbine scaling [ 42 ], there is a certain approximate relationship between the power coefficients when the Reynolds number is 2.2 × 10 4 to 1.65 × 10 5 . In addition, the wake characteristics in the wind tunnel test might differ from those of the full-size wind turbine.…”

Section: Experimental Setup and Methodologymentioning

confidence: 99%

Experimental Study on Aerodynamic Characteristics of Downwind Bionic Tower Wind Turbine

Yang,

Sun,

Yang

et al. 2024

Biomimetics

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The vibrissae of harbor seals exhibit a distinct three-dimensional structure compared to circular cylinders, resulting in a wave-shaped configuration that effectively reduces drag and suppresses vortex shedding in the wake. However, this unique cylinder design has not yet been applied to wind power technologies. Therefore, this study applies this concept to the design of downwind wind turbines and employs wind tunnel testing to compare the wake flow characteristics of a single-cylinder model while also investigating the output power and wake performance of the model wind turbine. Herein, we demonstrate that in the single-cylinder test, the bionic case shows reduced turbulence intensity in its wake compared to that observed with the circular cylinder case. The difference in the energy distribution in the frequency domain behind the cylinder was mainly manifested in the near-wake region. Moreover, our findings indicate that differences in power coefficient are predominantly noticeable with high tip speed ratios. Furthermore, as output power increases, this bionic cylindrical structure induces greater velocity deficit and higher turbulence intensity behind the rotor. These results provide valuable insights for optimizing aerodynamic designs of wind turbines towards achieving enhanced efficiency for converting wind energy.

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Section: Experimental Setup and Methodologymentioning

confidence: 99%

Experimental Study on Aerodynamic Characteristics of Downwind Bionic Tower Wind Turbine

Yang,

Sun,

Yang

et al. 2024

Biomimetics

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“…[1][2][3] Concurrently, the recent advancements in self-powered electronics and the demands for moveable, lightweight, and isolated instruments have spurred investigations into various types of energy harvesters. [4][5][6][7][8][9][10][11] These devices transform naturally existing energy in the environment, such as mechanical vibration, light, heat, and electromagnetic radiation, into a useful form. [12][13][14][15] Among these potential environmental sources, wind energy appears to be prominent due to its high kinetic energy potential and widely recognized utilization, dating back to early sailboats around 3500 BC.…”

Section: Introductionmentioning

confidence: 99%

Flag Fluttering‐Triggered Piezoelectric Energy Harvester at Low Wind Speed Conditions

Özkan,

Erkan,

Basaran

2024

Energy Tech

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Flow‐induced vibrations are common occurrences in various fluid–solid interaction systems existing in nature. One way to transform this vibrational mechanical energy into a usable form is through energy harvesters. This study examines the performance of a piezoelectric energy harvester, where mechanical oscillations result from the fluttering flags made of various fabrics. Flags, made of commonly encountered fabrics, are attached to a cantilever beam inside a wind tunnel with a 30 × 30 cm test section, allowing the airflow to be adjusted between 0 and 10 m s−1. The alpaca flag, with dimensions corresponding to an aspect ratio of 2, can produce meaningful electricity even at a wind speed as low as ≈3.8 m s−1. As the wind speed increases, the fluttering frequency of this flag configuration becomes 10.9 Hz at a wind speed of 5 m s−1, coinciding with the natural frequency of the first mode shape. In this specific arrangement, the structural deformation of the piezoelectric patch on the beam surface is maximized, allowing the harvester system to produce a root mean square voltage of 5 V with a relatively high maximum power of 98 μW.

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“…En los últimos años, la preocupación por los efectos del cambio climático y la conciencia pública sobre los impactos ambientales ha aumentado considerablemente. En comparación con la generación de electricidad a partir de combustibles fósiles, la energía renovable tiene una carga ambiental mucho menor y, por lo tanto, está experimentando un crecimiento constante en la misión de mitigar los impactos ambientales y los efectos del cambio climático derivados de la utilización de combustibles fósiles (Bourhis et al, 2023).…”

Section: Introductionunclassified

Clasificación del nivel de perdida de eficiencia energética de un parque eólico por el desgaste sufrido en ambientes adversos

2023

Proceedings From the International Congress on Project Management and Engineering

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Wind power plants operate under adverse conditions that can degrade their components, reducing their useful life and performance. When these plants are designed, the amount of energy they will produce during their operation is estimated, assessing their deterioration, without considering differences based on their location. Prior knowledge of the levels of wear and, consequently, the energy losses of the turbines, would make it possible to improve plants estimation and optimise their design. This research classifies the level of affection that a wind farm could have to determine the amount of efficiency decrease due to physico-chemical wear caused by reaction with the environment. To do this, different environments are categorised based on predictions of data-based models, satellite information and multispectral images, which, together with data sources from the literature, make it possible to generate, from a macroscopic point of view and with a holistic approach, a categorisation of the areas to determine wear influence, providing valuable new information for decision-making when planning the construction of a new infrastructure.

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Experimental investigation of the effects of the Reynolds number on the performance and near wake of a wind turbine

Cited by 13 publications

References 26 publications

Experimental Study on Aerodynamic Characteristics of Downwind Bionic Tower Wind Turbine

Experimental Study on Aerodynamic Characteristics of Downwind Bionic Tower Wind Turbine

Flag Fluttering‐Triggered Piezoelectric Energy Harvester at Low Wind Speed Conditions

Clasificación del nivel de perdida de eficiencia energética de un parque eólico por el desgaste sufrido en ambientes adversos

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