Hydrodynamic optimization of high-performance blade sections for stall regulated hydrokinetic turbines using Differential Evolution Algorithm

Muratoğlu, Abdullah; Tekin, Ramazan; Ertuğrul, Ömer Faruk

doi:10.1016/j.oceaneng.2020.108389

Cited by 16 publications

(6 citation statements)

References 39 publications

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“…Their results were compared with data from hydrokinetic turbines designed using classical Glauert's optimization, demonstrating good performance. In the work of Muratoglu et al [4], an optimization of hydrokinetic turbines using differential evolution algorithms was studied. The analysis was developed specifically for stall-regulated turbines, considering high hydrodynamic forces, cavitation, blade tip loss and optimal stall behavior.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Hydrokinetic Swept Blades

2022

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The hydrokinetic turbine is used worldwide for electrical generation purposes, as such a technology may strongly reduce environmental impact. Turbines designed using backward swept blades can significantly reduce the axial load, being relevant for hydro turbines. However, few works have been conducted in the literature in this regard. For the case of hydrokinetic rotors, backward swept blades are still a challenge, as the authors are unaware of any optimization procedures available, making this paper relevant for the current state of the art. Thus, the present work develops a new optimization procedure applied to hydrokinetic turbine swept blades, with the main objective being the design of blades with reduced axial load on the rotor and possibly a reduction in the cavitation. The proposed method consists of an extension of the blade element momentum theory (BEMT) to the case of backward swept blades through a radial transformation function. The method has low computational cost and easy implementation. Once it is based on the BEMT, it presents good agreement when compared to experimental data. As a result, the sweep heavily affects the chord and twist angle distributions along the blade, increasing the turbine torque and power coefficient. In the case of the torque, it can be increased by about 18%. Additionally, even though the bound circulation demonstrates a strong change for swept rotors, Prandtl’s tip loss seems to be not sensitive to the sweep effect, and alternative models are needed.

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Section: Introductionmentioning

confidence: 99%

Optimization of Hydrokinetic Swept Blades

2022

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“…To obtain the coordinates of the airfoil in each section, an airfoil parameterization method based on the Bezier-PARSEC technique was proposed [46]. The use of Bezier curves makes it possible to model a wide variety of profile types [39,47]. Each airfoil is constructed with four cubic Bezier curves, two curves for determining the thickness of the airfoil and two curves for determining the camber of the airfoil (see Figure 2).…”

Section: Development Of the Input Geometrymentioning

confidence: 99%

“…The paper [28] describes the experimental verification and application of a method of multi-criteria optimization using genetic algorithms for the design of a propeller for a high-altitude aircraft. The articles [38,39] discuss the effectiveness of differential evolution-based algorithms for optimizing the shape of different types of propellers.…”

Section: Introductionmentioning

confidence: 99%

Algorithm for Propeller Optimization Based on Differential Evolution

Sedelnikov,

Kurkin,

Quijada-Pioquinto

et al. 2024

Computation

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This paper describes the development of a methodology for air propeller optimization using Bezier curves to describe blade geometry. The proposed approach allows for more flexibility in setting the propeller shape, for example, using a variable airfoil over the blade span. The goal of optimization is to identify the appropriate geometry of a propeller that reduces the power required to achieve a given thrust. Because the proposed optimization problem is a constrained optimization process, the technique of generating a penalty function was used to convert the process into a nonconstrained optimization. For the optimization process, a variant of the differential evolution algorithm was used, which includes adaptive techniques of the evolutionary operators and a population size reduction method. The aerodynamic characteristics of the propellers were obtained using the similar to blade element momentum theory (BEMT) isolated section method (ISM) and the XFOIL program. Replacing the angle of geometric twist with the angle of attack of the airfoil section as a design variable made it possible to increase the robustness of the optimization algorithm and reduce the calculation time. The optimization technique was implemented in the OpenVINT code and has been used to design helicopter and tractor propellers for unmanned aerial vehicles. The development algorithm was validated experimentally and using CFD numerical method. The experimental tests confirm that the optimized propeller geometry is superior to commercial analogues available on the market.

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“…[19] presents a GA enhancement and reinforcement in order to feature an extraction and classification algorithm based on the neural network used to diagnose electrocardiogram signals. [20] and [21] presents an interesting application of the Differential Evolution Algorithm to optimize rotating machinery, namely hydro turbines. In the paper, five different primary hydrofoil families were optimized and scaled.…”

Section: Genetic and Differential Evolution Algorithmmentioning

confidence: 99%

Metrology and Measurement Systems

Barszcz,

Zabaryłło

2021

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Turbines and generators operating in the power generation industry are a major source of electrical energy worldwide. These are critical machines and their malfunctions should be detected in advance in order to avoid catastrophic failures and unplanned shutdowns. A maintenance strategy which enables to detect malfunctions at early stages of their existence plays a crucial role in facilities using such types of machinery. The best source of data applied for assessment of the technical condition are the transient data measured during start-ups and coast-downs. Most of the proposed methods using signal decomposition are applied to small machines with a rolling element bearing in steady-state operation with a shaft considered as a rigid body. The machines examined in the authors' research operate above their first critical rotational speed interval and thus their shafts are considered to be flexible and are equipped with a hydrodynamic sliding bearing. Such an arrangement introduces significant complexity to the analysis of the machine behavior, and consequently, analyzing such data requires a highly skilled human expert. The main novelty proposed in the paper is the decomposition of transient vibration data into components responsible for particular failure modes. The method is automated and can be used for identification of turbogenerator malfunctions. Each parameter of a particular decomposed function has its physical representation and can help the maintenance staff to operate the machine properly. The parameters can also be used by the managing personnel to plan overhauls more precisely. The method has been validated on real-life data originating from a 200 MW class turbine. The real-life field data, along with the data generated by means of the commercial software utilized in GE's engineering department for this particular class of machines, was used as the reference data set for an unbalanced response during the transients in question.

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Hydrodynamic optimization of high-performance blade sections for stall regulated hydrokinetic turbines using Differential Evolution Algorithm

Cited by 16 publications

References 39 publications

Optimization of Hydrokinetic Swept Blades

Optimization of Hydrokinetic Swept Blades

Algorithm for Propeller Optimization Based on Differential Evolution

Metrology and Measurement Systems

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