Aerodynamic performance improvement of wind turbine blade by cavity shape optimization

Fatehi, Mostafa; Nili-Ahmadabadi, Mahdi; Nematollahi, Omid; Minaiean, Ali; Kim, Kyung Chun

doi:10.1016/j.renene.2018.08.047

Cited by 30 publications

(12 citation statements)

References 21 publications

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“…Thus, the cavity well drapes the vortex for stall margin regulation, reducing the impact of flow fluctuations and substantially improving the lift-to-drag ratio. The experiment gives evidence of 31 and 57% increase in lift-to-drag ratio when the angle of attack is about 14 and 20 degrees respectively (Fatehi et al, 2019).…”

Section: Cavity Shape Optimization Approachmentioning

confidence: 92%

A Strategic Study on the Environmental Impacts of Wind Turbine Blade Materials, their Improvements, Economics and End-Life-Options

Prakash

Glivin

Kalaiselvan

et al. 2020

Energy Research Journal

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Wind energy is a great alternative to solar energy (During monsoon) along with conventional non-renewable energy sources and has a potential market growing exponentially. Modern 3 Blade HAWTs are most dominant in the market and have high efficiency. Blades are 15 to 20% of the cost of the wind turbine unit and also exposed to the environment. Therefore it is crucial to employ suitable material that has lightweight, high stiffness and strength. Carbon fibre, Glass Fibre, Timber are some materials that are used for blade manufacturing. Design can be improved by stress deformation analysis, load estimation via methodology of blade element momentum or computational simulation using deep learning. Also, by developing a bio-inspirational method via 1% Gravo-Aeroelastic Scaling (GAS), cavity optimization approach and vacuum infusion or reinforcing resins in composites, to improve mechanical properties. To prevent surface erosion due to acidic or saline or rainwater, it is coated with a protective layer. Mechanical recycling of the blade material composites is both simpler and economically viable in comparison to thermal and chemical recycling.

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Section: Cavity Shape Optimization Approachmentioning

confidence: 92%

A Strategic Study on the Environmental Impacts of Wind Turbine Blade Materials, their Improvements, Economics and End-Life-Options

Prakash

Glivin

Kalaiselvan

et al. 2020

Energy Research Journal

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“…利用叶片截面上的三个变量点确定叶片圆弧的几何形状, 并设置遗传算法的目标函数使功率系数最大. Fate-hi等人 [9] 以一种RISOHYB118型翼型的风力机叶片为研究对象, 选择升阻比作为目标函数, 提出了一种基于遗传算法的腔体形状优化方法. 卢金铃等人 [10] 研究基于反问题和三维黏性的流动分析的叶轮优化设计方法.…”

Section: 有扫掠和二面角三维形状的风力机叶片多目标优化方unclassified

Random-interval hybrid reliability analysis for fan performance in the presence of epistemic uncertainty

Yao

et al. 2020

Sci. Sin.-Tech.

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“…For the design and performance estimation of the blade, many researchers have used the blade element momentum theory (BEMT), which was originally developed in the form of Froude's BEMT, later refined by Glauert (1976) to analyse and assess the performance of the wind turbine in combination with other relevant theories, including the axial momentum and blade element theory (Karam and Mahdy 2001;Lanzafame and Messina 2007;Jerson, João, and André 2011;Kim et al 2011;Patrick, Chen, and Choi 2016). Fatehi et al (2019) successfully demonstrated the improvement in the aerodynamic performance of the wind turbine blade by the cavity shape optimization method. Ozge and Ismail (2013) introduced the aerodynamic shape optimization methodology based on the genetic algorithm and BEMT.…”

Section: Introductionmentioning

confidence: 99%

Structural design optimization of a wind turbine blade using the genetic algorithm

Lee

Shin

2021

Engineering Optimization

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With the increasing size of wind turbines in terms of their dimensions and capacity, structural design optimization for their blades is becoming all the more important. This study suggests an improved optimization framework. Blade optimization is performed in two stages: the ply lay-up pattern of the spar cap in the initial blade configuration based on the existing configuration, followed by the cross-sectional design optimization at several spanwise locations. The genetic algorithm is adopted and, in terms of the structural integrity evaluation, the final configuration results are found to be safe; in addition, the number of plies in the spar cap rapidly decreases through the two-stage design optimization procedure. As a result, the blade is lighter, and the lighter blade also reduces the applied load on the wind turbine. This will have an excellent effect that leads to a reduction in the weight of the entire turbine system.

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Aerodynamic performance improvement of wind turbine blade by cavity shape optimization

Cited by 30 publications

References 21 publications

A Strategic Study on the Environmental Impacts of Wind Turbine Blade Materials, their Improvements, Economics and End-Life-Options

A Strategic Study on the Environmental Impacts of Wind Turbine Blade Materials, their Improvements, Economics and End-Life-Options

Random-interval hybrid reliability analysis for fan performance in the presence of epistemic uncertainty

Structural design optimization of a wind turbine blade using the genetic algorithm

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