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Optimal Design of VLH Axial Hydro-Turbine using Regression Analysis and Multi-Objective Function (GA) Optimization Methods

Publish place: Journal of Applied Fluid Mechanics، Vol: 9، Issue: 5
Publish Year: 1395
Type: Journal paper
Language: English
View: 275

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Link to this Paper:
https://civilica.com/doc/1383440

Document National Code:

JR_JAFM-9-5_020

Index date: 23 January 2022

Optimal Design of VLH Axial Hydro-Turbine using Regression Analysis and Multi-Objective Function (GA) Optimization Methods abstract

This research study was aimed to develop a new concept design of a very low head (VLH) turbine using advanced optimization methodologies. A potentially local site was chosen for the turbine and based on its local conditions, such as the water head level of

Optimal Design of VLH Axial Hydro-Turbine using Regression Analysis and Multi-Objective Function (GA) Optimization Methods Keywords:

Blade angle , Regression analysis , Fluid flow simulation , Optimization , Genetic Algorithm , Very low head turbine

Optimal Design of VLH Axial Hydro-Turbine using Regression Analysis and Multi-Objective Function (GA) Optimization Methods authors

W. Nuantong

Department of Mechanical Engineering, Faculty of Engineering, Khon Kaen University, ۴۰۰۰۲, Thailand

S. Taechajedcadarungsri

Department of Mechanical Engineering, Faculty of Engineering, Ubon Ratchathani University, ۳۴۱۹۰, Thailand