Relaminarization of jet impingement on a flat plate using separation-induced transition correction turbulence modeling preliminarily applied in archeological applications

Kaewbumrung, Mongkol; Plengsa-Ard, Chalermpol

doi:10.1016/j.heliyon.2024.e26040

Cited by 1 publication

(1 citation statement)

References 49 publications

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“…These points serve as critical thresholds and are crucial for understanding the correlation between wind speed and rotor speed. The minimum threshold was established at 2.5 m/s (4 rpm), at which marginal relaminarization will occur according to Equation ( 6), creating added complexity in near-wall flow characteristics [32,33], representing the lower limit at which the wind turbine is operational. The midpoint was set at 5.5 m/s (9 rpm), indicating the average wind speed observed during the study period.…”

Section: Boundary Conditions and Initial Conditionsmentioning

confidence: 99%

Enhancing Wind Turbine Blade Preventive Maintenance Procedure through Computational Fluid Dynamics-Based Prediction of Wall Shear Stress

Palasai,

Plengsa-Ard,

Kaewbumrung

2024

Sustainability

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Wind turbine blades are essential parts of wind energy systems and are frequently exposed to harsh environmental elements, such as strong winds, turbulence, and corrosive atmospheric elements. Over time, these circumstances may result in serious harm to blades, such as delamination and erosion, which may negatively affect the wind turbine’s functionality and durability. Accurate prediction of various types of damage is crucial to improve the toughness and lifespan of wind turbine blades and to maximize the overall effectiveness of wind energy systems. This article presents a novel computational fluid dynamics (CFDs)-based method for analyzing the distribution of wall shear stress on turbine blades, aimed at publicizing the yearly maintenance procedure. The investigation results from the CFDs, when compared with the current situation in a wind turbine farm in Thailand, confirmed that our wall shear stress modeling accurately predicted wind turbine damage. A maximum wall shear stress level higher than 5.00 Pa in the case of PA 90°, incoming air velocity 10.00 m/s, and 15 rpm was the main contribution to presenting the erosion and delamination from current drone inspection in wind turbine farms. In conclusion, these findings demonstrated the potential of using CFDs to predict wind turbine blade delamination and erosion, thereby significantly contributing to the development of specific and accurate yearly preventive maintenance. The proposed CFDs-based approach should serve as a sustainability tool for local human development, benefiting wind turbine engineers and operating technicians by providing them with a deeper understanding of the local flow conditions and wall shear stress distribution along wind turbine blades. This enables them to make informed decisions regarding blade design and maintenance.

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Section: Boundary Conditions and Initial Conditionsmentioning

confidence: 99%