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Parametric sensitivity analysis of Archi

Vipin Uniyal, Ashish Karn

2026enhydropowersustainabilityturbinesenergy efficiency

Abstract

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Archimedes Screw Turbines (ASTs) have emerged as a sustainable solution for low-head hydropower, especially in rural and remote areas. However, a systematic evaluation of the design parameters influencing AST performance remains lacking. This study addresses this gap through a comprehensive review and MATLAB-based parametric sensitivity analysis to determine the optimal operating conditions for ASTs. Key parameters examined include inclination angle (25°–35°), diameter ratio (0.45–0.55), pitch ratio (1.0), number of blades (optimal at 3), and rotational velocity (50–100 rpm). Results show that AST efficiency increases with flow rate, although excessive flow induces leakage losses, thereby reducing overall performance. The study also emphasizes the dual utility of ASTs for energy generation and water lifting. Notably, this is the first effort to present a comparative analysis of all significant influencing parameters using a sensitivity analysis of parameters. The findings enhance understanding of AST design and performance, supporting more efficient applications in sustainable hydropower systems.

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Cite This Work

@article{6c8d5472-1380-4c51-b9f1-84bbd698f398,
  title={Parametric sensitivity analysis of Archi},
  author={Vipin Uniyal and Ashish Karn},
  year={2026},
  language={en}
}
TY  - JOUR
TI  - Parametric sensitivity analysis of Archi
AU  - Vipin Uniyal
AU  - Ashish Karn
PY  - 2026
LA  - en
ER  -

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