A CFD aided hydraulic turbine design methodology applied to Francis turbines

Akin, Hasan; Aytac, Zeynep; Ayancik, Fatma; Ozkaya, Ece; Arioz, Emre; Çelebioğlu, Kutay; Aradağ, Selin

doi:10.1109/powereng.2013.6635694

Cited by 6 publications

(3 citation statements)

References 5 publications

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“…The design methodology used for the CFD-aided design of hydraulic turbines is explained in detail in Ayli et al (2015). In the present study, parameter studies were performed for four different existing HEPP turbine runners (Akin et al, 2013;Ayancik et al, 2014;Ayli et al, 2015) in order to obtain generalized results that are valid for all Francis turbine runners. The turbines investigated in this study are numbered Turbine 1 to Turbine 4 for ease of reference and their general performance values are presented in Table 2.…”

Section: Properties Of the Designed Turbines And Design Methodologymentioning

confidence: 99%

Determination and generalization of the effects of design parameters on Francis turbine runner performance

Ayli

Çelebioğlu

Aradağ

2016

Engineering Applications of Computational Fluid Mechanics

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The runner design is the most challenging part of the turbine design process. Several parameters determine the performance and cavitation characteristics of the runner: the metal angle (flow beta angle), the alpha angle, the blade beta angle, the runner inlet and outlet diameters, and the blade height. All of these geometrical parameters need to be optimized to ensure that the head, flow rate and power requirements of the system are met. A hydraulic designer has to allocate time to optimize these parameters and should be experienced in carrying out the iterative design process. In this article, the turbine runner parameters that affect the performance and cavitation characteristics of designed turbines are examined in detail. Furthermore, turbines are custom designed according to the properties of hydroelectric power plants; this makes the design process even more challenging, as the rotational speed, runner geometry, system head and flow rate vary for each turbine. The effects of the design parameters are examined for four different turbine runners specifically designed and used in actual power plants in order to obtain general results and generalizations applicable to turbine design aided by computational fluid dynamics (CFD). The flow behavior, flow angles, head losses, pressure distribution, and cavitation characteristics are computed, analyzed, and compared. To assist hydraulic designers, the general influences of these parameters on the performance of turbines are summarized and empirical formulations are derived for runner performance characterization.

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Section: Properties Of the Designed Turbines And Design Methodologymentioning

confidence: 99%

Determination and generalization of the effects of design parameters on Francis turbine runner performance

Ayli

Çelebioğlu

Aradağ

2016

Engineering Applications of Computational Fluid Mechanics

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“…Water leaves the runner at minimum pressure, once it releases its energy. The draft tube provides a connection between the runner exit and the tailwater level [13][14]. [15] Pelton Turbines: Pelton turbine is an impulse type turbine, which extracts energy from the water by converting the available head to the kinetic energy.…”

Section: Hydraulic Turbinesmentioning

confidence: 99%

Cavitation in Hydraulic Turbines

Ayli¹

2019

IJHT

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Hydroenergy is one of the richest and most useful renewable energy sources in the world. Hydropower is a vital source as it is the clean energy source, sustainable and last but not least it is also cost-effective. One of the most important parameters that affect the performance of the hydraulic machines is the cavitation phenomenon, which is defined as the formation of the vapor bubbles in the liquid through any hydraulic turbine. In this paper, hydraulic machines, cavitation, types of cavitation are briefly described. After theoretical studies, analytical and numerical researches about cavitation in hydraulic machinery are discussed extensively. With those studies which are summarized in this paper covers a lot of ground about cavitation on the other hand further studies are needed about cavitation in hydro turbines. Numerical methods provide sufficient predictions for cavitation. However, numerical results should be verified by experimental measurements and detection methods to decide what intensity and which shape of cavitation is hazardous and vital, where the local pressure is lower than the vapor pressure and at which static pressure cavities start to grow and collapse.

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“…The efficiency of Kamienna HEPP increased from 75% to 85%. Akin et al [7] developed a design methodology for Francis turbines. Overall turbine efficiency can reach up to 92.3% with their design methodology.…”

Section: Introductionmentioning

confidence: 99%

Rehabilitation of Francis Turbines of Power Plants with Computational Methods

Çelebioğlu¹,

Aradağ²,

Ayli³

et al. 2018

Hittite J. Sci. Eng.

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R ehabilitation of hydraulic turbines of existing power plants is an important topic because of the low performance, poor reliability, frequent maintenance intervals and undesirable cavitation properties of old turbines at the plants. Rehabilitation projects increased worldwide to improve turbine designs and to reach the desired performance characteristics, especially with the improvements in computational power and Computational Fluid Dynamics (CFD) technology. However, rehabilitation of old power plants is often more difficult than the design of the turbines for new power plants since most of the existing parts cannot be altered because some of the parts are buried and the space is limited with the size of the old turbine.Both experimental and numerical methods are common in the design [1] Su et al. [4] computed the three-dimensional turbulent flow in Francis turbines using Large Eddy Simulations (LES). They used unstructured meshes for the spiral case and the runner, while structured meshes were utilized for the remaining components. They found out that cavitation was observed at the suction side of the blade under partial load conditions. Patel et al.[5] also performed three-dimensional, unsteady CFD simulations for Francis turbines. They investigated the effect of partial loading on turbine performance. The A B S T R A C T R ehabilitation of existing hydroelectric power plants (HEPP) by redesigning the hydraulic turbines is usually more elaborate than designing a tailor-made turbine for a new plant. Some of the parts are buried and the space is limited with the size of the old turbine; therefore, this increases the number of constraints imposed on the design. This article presents a Computational Fluid Dynamics (CFD) based rehabilitation procedure involving the state of the art redesign of the turbine of a hydroelectric power plant for better performance at design and off-design conditions of several head and flow rates. Runner and guide vanes of the Francis turbine are designed per the design head and flow rates available for the turbine at the site. The simulations for the designed parts are performed both separately and using all turbine parts as full turbine analyses. Both the design and off-design conditions are simulated for the newly designed and existing turbines for comparison purposes. Cavitation performance of the new design is also determined. The proposed methodology is applicable to any Francis type turbine and any HEPP that needs rehabilitation.

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A CFD aided hydraulic turbine design methodology applied to Francis turbines

Cited by 6 publications

References 5 publications

Determination and generalization of the effects of design parameters on Francis turbine runner performance

Determination and generalization of the effects of design parameters on Francis turbine runner performance

Cavitation in Hydraulic Turbines

Rehabilitation of Francis Turbines of Power Plants with Computational Methods

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