2022
DOI: 10.1016/j.renene.2021.11.082
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Control of a boundary layer over a wind turbine blade using distributed passive roughness

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Cited by 17 publications
(3 citation statements)
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“…However, these methods are energy-intensive and require substantial maintenance. Conversely, passive control techniques, such as vortex generators, slots, riblets, and surface textures, offer a more cost-effective and simpler approach by manipulating pressure gradients through geometric modifications [13,14,15,16,17,18].…”
Section: Introductionmentioning
confidence: 99%
“…However, these methods are energy-intensive and require substantial maintenance. Conversely, passive control techniques, such as vortex generators, slots, riblets, and surface textures, offer a more cost-effective and simpler approach by manipulating pressure gradients through geometric modifications [13,14,15,16,17,18].…”
Section: Introductionmentioning
confidence: 99%
“…This study indicates that, under specific flow conditions, appropriate roughness can enhance the aerodynamic performance of wind turbine blade profiles within a Reynolds number range of 5 × 10 4 -1.5 × 10 5 . Moreover, roughness yields positive effects when the Reynolds number is less than 2.5 × 10 5 , and the roughness height (h) is equal to or less than 0.1 mm [80].…”
Section: Introductionmentioning
confidence: 99%
“…These mechanisms can be broadly classified into active and passive control techniques. Passive techniques involve installation of microstructures, such as vortex generators [11], winglets [12], slats [13][14][15][16], riblets [17], surface texture/roughness [18], and slot/dimples/grooves [19], which manipulate pressure gradient across the blade surface to improve flow characteristics and aerodynamic performance. Active flow control mechanisms use a network of microsensors installed across the blade surface, which actively process sensor feedback to maintain or achieve optimal aerodynamic response through necessary local actuations [10,20].…”
Section: Introductionmentioning
confidence: 99%