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Piyush D. Jadhav

Bio: Piyush D. Jadhav is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Turbine & Aerodynamics. The author has an hindex of 2, co-authored 2 publications receiving 14 citations.

Papers
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Journal ArticleDOI
TL;DR: Novelty of the current work is the use of WAS, an ensemble of surrogates that consists of polynomial response surface, kriging and radial basis functions, which performs better compared to any surrogate individually thus avoiding misleading optima and eliminates surrogate dependent optima.
Abstract: Current study presents fluid flow analysis using CFD and a surrogate based framework for design optimization of Savonius wind turbines. The CFD model used for the study is validated with results from a physical model in water tunnel experiment. Four variables that best define blade geometry are considered and a feasible design space consisting of different combinations of these variables that provide positive overlap ratio is identified. The feasible space is then sampled with Latin hyper cube design of experiment. Numerical simulations utilizing K-epsilon turbulence model are performed at each point in the Design of Experiments to obtain coefficient of performance and weighted average surrogate (WAS) is fitted to them. Novelty of the current work is the use of WAS for design of savonius turbine. The WAS is an ensemble of surrogates that consists of polynomial response surface, kriging and radial basis functions. Error metrics reveal that WAS performs better compared to any surrogate individually thus avoiding misleading optima and eliminates surrogate dependent optima. WAS is used to explore the design space and perform optimization with limited number of CFD analyses. It is observed that at the optimal profile, there is more power on the rotors and primary recirculation in the immediate downstream of rotor is high, enforcing maximum momentum on turbine.

13 citations

Book ChapterDOI
01 Jan 2015
TL;DR: The primary aim of this work is to provide a simple methodology for the robust optimal design of the Savonius wind turbine using the traditional Taguchi method and dynamic computational fluid dynamics models of the design sets.
Abstract: The Savonius wind turbine, a class of vertical axis wind turbine (VAWT), is simple and provides a better cost-benefit ratio. It works on the principle of differential drag and is effective in rooftop and ground mounting. Despite the advantages of Savonius wind rotors, they are not preferred due to their low aerodynamic performance levels. In order to address this, several experimental and numerical studies have been carried out in recent years. The primary aim of this work is to provide a simple methodology for the robust optimal design of the Savonius wind turbine. In the parameter design stage, the performance of the turbine is maximized using the traditional Taguchi method. An L27 orthogonal array is used considering five factors of three levels each, which affect C p . Wind speed is considered to be the noise factor. Signal-noise ratio (SNR) metric is used to find the optimal settings for robust design. The aerodynamic performance of the turbine is investigated through dynamic computational fluid dynamics (CFD) models of the design sets. The numerical models used for the simulations are also discussed.

4 citations


Cited by
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Journal ArticleDOI
TL;DR: In this paper, the effect of Reynolds number on the performance of a wind turbine with slotted blades was investigated based on the torque coefficient, power coefficient, and tip speed ratio (TSR).

16 citations

Journal ArticleDOI
TL;DR: Novelty of the current work is the use of WAS, an ensemble of surrogates that consists of polynomial response surface, kriging and radial basis functions, which performs better compared to any surrogate individually thus avoiding misleading optima and eliminates surrogate dependent optima.
Abstract: Current study presents fluid flow analysis using CFD and a surrogate based framework for design optimization of Savonius wind turbines. The CFD model used for the study is validated with results from a physical model in water tunnel experiment. Four variables that best define blade geometry are considered and a feasible design space consisting of different combinations of these variables that provide positive overlap ratio is identified. The feasible space is then sampled with Latin hyper cube design of experiment. Numerical simulations utilizing K-epsilon turbulence model are performed at each point in the Design of Experiments to obtain coefficient of performance and weighted average surrogate (WAS) is fitted to them. Novelty of the current work is the use of WAS for design of savonius turbine. The WAS is an ensemble of surrogates that consists of polynomial response surface, kriging and radial basis functions. Error metrics reveal that WAS performs better compared to any surrogate individually thus avoiding misleading optima and eliminates surrogate dependent optima. WAS is used to explore the design space and perform optimization with limited number of CFD analyses. It is observed that at the optimal profile, there is more power on the rotors and primary recirculation in the immediate downstream of rotor is high, enforcing maximum momentum on turbine.

13 citations

Journal ArticleDOI
01 Apr 2021-Energies
TL;DR: There are multiple research results from numerical analysis on virtual models or experimental tests that use rotor models in different constructive configurations aiming to improve operation performance, whose performance results in terms of torque or power values are compared to the classical SAVONIUS model.
Abstract: Increasing energy demand and environmental regulations around the world provide an adequate framework for developing methods of obtaining energy from renewable sources. Wind force is a resource with a high potential through which green energy can be obtained with no negative impact on the environment. Different turbine typologies have been developed, which can convert the wind force into mechanical and electrical energy through turbine rotational motion. Starting from the classic vertical-axis SAVONIUS rotor model, other models have been designed, which, according to the numerical studies and experimental test results, show higher performance parameters in operation. Such models present specific rotor blade geometries to achieve better operational results in terms of shaft torque and generated power. There are multiple research results from numerical analysis on virtual models or experimental tests that use rotor models in different constructive configurations aiming to improve operation performance. These research activities are related to the rotor blade number, the aspect and overlap ratio values, the blade profile geometry modification, the use of end plates connected to the rotor blades, curtain mounting solutions for directing the air flow on the active blade alone, and rotor constructive variants with deformable blades during operation. Some of the results obtained from the mentioned research activities are shown in this review for special rotor configurations whose performance results in terms of torque or power values are compared to the classical SAVONIUS model.

13 citations

Journal ArticleDOI
Wen Ma1, Suchao Xie1, Zhixiang Li1, Zhejun Feng1, Jing Kunkun1 
TL;DR: Inspired by the micro-structure of horse-hoof-wall, the authors proposed a series of thin-walled corrugated tubes and investigated their crushing behaviors under multiple loading angles.
Abstract: Inspired by the micro-structure of horse-hoof-wall, we proposed a series of thin-walled corrugated tubes and investigated their crushing behaviors under multiple loading angles. After the complex p...

12 citations

Journal ArticleDOI
Jolan Wauters1, Ivo Couckuyt1, Nicolas Knudde1, Tom Dhaene1, Joris Degroote1 
TL;DR: An efficient global optimization framework is developed employing surrogate modeling, namely regressive co-Kriging, updated using a multi-objective formulation of the expected improvement, and the result is a wing fence design that extends the flight envelope of the aircraft, obtained with a feasible computational budget.
Abstract: In this paper, the multi-objective, multifidelity optimization of a wing fence on an unmanned aerial vehicle (UAV) near stall is presented. The UAV under consideration is characterized by a blended wing body (BWB), which increases its efficiency, and a tailless design, which leads to a swept wing to ensure longitudinal static stability. The consequence is a possible appearance of a nose-up moment, loss of lift initiating at the tips, and reduced controllability during landing, commonly referred to as tip stall. A possible solution to counter this phenomenon is wing fences: planes placed on top of the wing aligned with the flow and developed from the idea of stopping the transverse component of the boundary layer flow. These are optimized to obtain the design that would fence off the appearance of a pitch-up moment at high angles of attack, without a significant loss of lift and controllability. This brings forth a constrained multi-objective optimization problem. The evaluations are performed through unsteady Reynolds-Averaged Navier–Stokes (URANS) simulations. However, since controllability cannot be directly assessed through computational fluid dynamics (CFD), surrogate-derived gradients are used. An efficient global optimization framework is developed employing surrogate modeling, namely regressive co-Kriging, updated using a multi-objective formulation of the expected improvement. The result is a wing fence design that extends the flight envelope of the aircraft, obtained with a feasible computational budget.

10 citations