Parametric Optimization of Gravitational Water Vortex Turbines for Enhanced Torque Generation

Autor: Muhammad Mobeen, Saqib Jaweed, Ahmad Abdullah, Shummaila Rasheed, Manzar Masud
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Engineering Proceedings, Vol 45, Iss 1, p 3 (2023)
Druh dokumentu: article
ISSN: 2673-4591
DOI: 10.3390/engproc2023045003
Popis: Gravitational water vortex turbines (GWVTs) are favored over fuel-based power plants due to its lower head requirements and smaller flow rates, making it an economically viable energy source. Different process parameters such as flow rate, cone angle, blade position, and blade type directly affect the torque generation and ultimately the efficiency of GWVTs. The objective of this research is to analyze the impact of different process parameters on torque generation and to determine the optimal efficiency by optimizing the controlling parameters through Design of Experiments (DOE) in combination with Taguchi analysis. This study involved fabricating an accurate experimental setup and conducting experiments on various parameter combinations. The results obtained showed that the blade type has a major influence on the response factor (torque). This research holds potential for advancements in renewable energy.
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