Parametric optimization of Archimedes screw turbine by response surface methodology and artificial neural networks

Parametric optimization of Archimedes screw turbine by response surface methodology and artificial neural networks

<p>This study investigates the performance optimisation of the Archimedes Screw Turbine (AST) to enhance power output, focusing on the key parameters of flow rate and inclination angle. Utilising response surface methodology (RSM) through a central composite design (CCD) and artificial neural...

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Bibliographic Details
Main Authors: Vipin Uniyal, Ashish Karn, Varun Pratap Singh
Format: Article
Language:English
Published: Academy Publishing Center 2024-10-01
Series:Renewable Energy and Sustainable Development
Subjects:
archimedes screw turbine, renewable energy, micro hydropower, ultra-low head, response surface methodology, artificial neural networks
Online Access:http://apc.aast.edu/ojs/index.php/RESD/article/view/1008
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http://apc.aast.edu/ojs/index.php/RESD/article/view/1008

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