Experimental and Neural Network based Pump Power Analysis of Wind Turbine Powered Water Pump
Lingala Syam SUNDAR, Esam JASSIM
Abstract. Wind energy is the renewable source of energy, which is available plenty on the earth surface, which is caused due to the solar energy. The kinetic energy available in the wind can be extracted into work with help of wind turbine. This wind turbine power can be used for several applications. In this paper, the wind turbine energy can be used to pump the ground water for the agricultural purpose. To establish this an experimental setup is fabricated and analyzed. The power extracted from the wind mill, toque, and water discharge was calculated at different wind velocity. The obtained output data is modeled with artificial neural network (ANN). The ANN algorithms of Levenberg–Marquardt technique were used to predict the power, torque, and discharge. The experimental results show, at a wind speed of 5.32 m/sec, the power extracted is 1064.2 N-m, the torque produced is 1000.2 N-m, and the water discharge from the pump is 0.0091 m3/sec. The LM models are perfectly predicted the output data. The experimental results show that the LM method predict the data with a R2 value of 0.9934, 0.99746, 0.99413 for power, torque, and discharge, respectively.
Keywords
Neural Network, Wind Turbine, Renewable Energy, Power, Pump, Torque
Published online 4/25/2026, 12 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Lingala Syam SUNDAR, Esam JASSIM, Experimental and Neural Network based Pump Power Analysis of Wind Turbine Powered Water Pump, Materials Research Proceedings, Vol. 64, pp 9-20, 2026
DOI: https://doi.org/10.21741/9781644904091-2
The article was published as article 2 of the book Energy Futures
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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