Evaluation of a Photovoltaic Energy System Applied to a Drip Irrigation System

Soni Willian Haupenthal, Jair Antonio Cruz Siqueira, Luciene Kazue Tokura, Carlos Eduardo Camargo Nogueira, Marcio Antonio Vilas-Boas, Lai Fernanda Juchem do Nascimento, Everton Ortiz Rocha

Abstract


This work aimed to evaluate the performance of a drip irrigation system with photovoltaic energy directly connected to the water pumping system through the irrigation uniformity coefficients using the statistical quality control, with the control chart of Shewhart. The experiment was conducted at the State University of West Parana (UNIOESTE), campus of Cascavel, in the Project CASA (Center of Alternative Energy System Analysis), during six days of open sky. The irrigation system contained four lines with 18 drippers each, collecting the flow of each dripper for five minutes, along with the parameters of temperature and solar radiation. In the energy part, the current and the voltage generated by the panel were analyzed. The main results allowed to evaluate that the flows of the drippers showed changes directly proportional to the decrease or increase of the radiation. Even with the changes in radiation levels during the collection period, the system obtained excellent process capability according to the analyzes of the distribution uniformities. It was also concluded that there was a significant relationship between the coefficients (CUC, DUC and CV) with the process capacity of the flow data. The control plot was adequate to diagnose the treatments. Statistical control proved to be effective for the determination of process variability, thus recommending the use of a drip irrigation system with a solar photovoltaic system directly connected to the pump on open sky days with few clouds due to the lower variability in relation to the graph of control and greater uniformity of water distribution.


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DOI: https://doi.org/10.5539/jas.v10n8p43

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License URL: http://creativecommons.org/licenses/by/4.0

Journal of Agricultural Science   ISSN 1916-9752 (Print)   ISSN 1916-9760 (Online)  E-mail: jas@ccsenet.org

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