Multi-objective shape optimization of runner blade for Kaplan turbine

Semenova, A.V.; Чирков, Д. В.; Lyutov, Alexey; Chemy, S; Skorospelov, V. A.; Pylev, I. M.

doi:10.1088/1755-1315/22/1/012025

Cited by 18 publications

(18 citation statements)

References 3 publications

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“…[8] This pressure is related to the calculation head, and the sigma value (sigma, ref [-]) is calculated to the reference flow rate (Q, ref [ m 3 .s -1 ]). [9] The target functions are expressed from these values, which are minimized during sensitivity analysis and optimization.…”

Section: Fig 4 Parametric Model Of Geometry On the Right -Control Cmentioning

confidence: 99%

Application of genetic algorithm methods for water turbine blade shape optimization

Kantor¹,

Chalupa²,

Souček³

et al. 2020

Manufacturing Technology

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The use of modern production techniques such as 3D printing brings new requirements for shaping machine parts. In the case of the production of the runner blades of Kaplan micro-turbine using 3D printing technology from plastic, the emphasis is on the mechanical properties of the blade and hydraulic properties of the entire turbine. Achieving the required parameters is conditioned by finding a suitable shape of the runner. Therefore the design, virtual testing, optimization and evaluation process is automated. The paper describes the whole process where virtual testing of hydraulic parameters is performed by CFD simulations, and the methods of genetic algorithms are used for optimization. Selected final geometrical shapes of the blade are subjected to a more detailed analysis of hydraulic parameters in the wider operating range and also to the strength analysis.

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Section: Fig 4 Parametric Model Of Geometry On the Right -Control Cmentioning

confidence: 99%

Application of genetic algorithm methods for water turbine blade shape optimization

Kantor¹,

Chalupa²,

Souček³

et al. 2020

Manufacturing Technology

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“…As the airfoil profile shape has a crucial impact on the aerodynamic efficiency of a wind turbine, an important research area for wind turbine technology has been blade design. Within this context, automatic blade shape optimization procedures, which have a longer tradition in other areas such as compressors [2] and turbines [3] have also been used for the aerodynamic and structural optimization of wind turbine blades. The more classical intuition and experience based non-automatic optimization [4] has been used.…”

Section: Introductionmentioning

confidence: 99%

Aerodynamic Optimization of Airfoil Profiles for Small Horizontal Axis Wind Turbines

2018

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The purpose of this study is the development of an automated two-dimensional airfoil shape optimization procedure for small horizontal axis wind turbines (HAWT), with an emphasis on high thrust and aerodynamically stable performance. The procedure combines the Computational Fluid Dynamics (CFD) analysis with the Response Surface Methodology (RSM), the Biobjective Mesh Adaptive Direct Search (BiMADS) optimization algorithm and an automatic geometry and mesh generation tool. In CFD analysis, a Reynolds Averaged Numerical Simulation (RANS) is applied in combination with a two-equation turbulence model. For describing the system behaviour under alternating wind conditions, a number of CFD 2D-RANS-Simulations with varying Reynolds numbers and wind angles are performed. The number of cases is reduced by the use of RSM. In the analysis, an emphasis is placed upon the role of the blade-to-blade interaction. The average and the standard deviation of the thrust are optimized by a derivative-free optimization algorithm to define a Pareto optimal set, using the BiMADS algorithm. The results show that improvements in the performance can be achieved by modifications of the blade shape and the present procedure can be used as an effective tool for blade shape optimization.

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“…Several examples of Francis turbine runner optimization exist (Enomoto, Kurosawa, & Kawajiri, 2012;Nakamura & Kurosawa, 2009;Pilev et al, 2012), some even optimizing the runner and draft tube simultaneously (Lyutov, Chirkov, Skorospelov, Turuk, & Cherny, 2015). Most of these attempts deal with medium-to-high specific speed Francis turbines, but other turbine types have also been optimized using similar techniques (Ezhilsabareesh, Rhee, & Samad, 2018;Semenova et al, 2014). The peak efficiency of hydro turbines has not increased much in the last decades, as noted in Electric Power Research Institute (1999) and Lyutov et al (2015).…”

Section: Introductionmentioning

confidence: 99%

Optimization procedure for variable speed turbine design

Tengs

Storli

Holst

2018

Engineering Applications of Computational Fluid Mechanics

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This article outlines a design procedure for variable speed Francis turbines using optimization software. A fully parameterized turbine design procedure is implemented in MATLAB . ANSYS CFX is used to create hill diagrams for each turbine design. An operation mode of no incidence losses is chosen, and the mean efficiency in the range ±20% of the best efficiency point is used as optimization criterion. This characteristic is extracted for each design, and optiSLang is used for system coupling and optimization. In the global optimization loop, the downhill simplex method is used to maximize the turbine performance. For this article, the bounding geometry of the runner is kept as in the original configuration. This way, the performance of the different variable speed turbines can be compared directly. Two optimization parameters describing the blade leading-edge geometry have been used in the optimization procedure. The resulting design was an almost circular leading edge, and shows an increase in mean efficiency of 0.25% compared to the reference case. There was a significant change in the turbine performance, with close to no change at the best efficiency point, and an increase in efficiency of almost 1% at low rotational speed. The outlined procedure is parallelizable and can be performed within an industrial timeframe. ARTICLE HISTORY

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Multi-objective shape optimization of runner blade for Kaplan turbine

Cited by 18 publications

References 3 publications

Application of genetic algorithm methods for water turbine blade shape optimization

Application of genetic algorithm methods for water turbine blade shape optimization

Aerodynamic Optimization of Airfoil Profiles for Small Horizontal Axis Wind Turbines

Optimization procedure for variable speed turbine design

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