Comparative study of drip irrigation systems using indoor amorphous photovoltaic panels

• Autor(a) principal: Silveira, Vander Fabio
• Data de Publicação: 2021
• Outros Autores: Siqueira, Jair Antonio Cruz, Nascimento, Laís Fernanda Juchem do, Tokura, Luciene Kazue, Alovisi, Alessandra Mayumi Tokura, Vilas Boas, Marcio Antonio, Nogueira, Carlos Eduardo Camargo, Siqueira, Marta Mitiko Kubota de, Bohn, Carlos Adriano, Marques, Renan, Haupenthal, Soni Willian, Lewandoski, Cristiano Fernando, Debastiani, Gilson
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Research, Society and Development
• Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/19288
• topic: Sistema de irrigação por gotejamento; Sistema de bombeamento fotovoltaico; Sistemas fotovoltaicos; Gráfico de Shewhart; Dias de sol e parcialmente nublados.; Drip irrigation system; Photovoltaic pumping system; Photovoltaic systems; Shewhart chart; Sunny and partially cloudy days.; Sistema de riego por goteo; Sistema de bombeo fotovoltaico; Sistemas fotovoltaicos; Gráfico de Shewhart; Días soleados y parcialmente nublados.

Solar energy is a clean and renewable energy production option and can be applied to pumping water. Pumping water with photovoltaic solar energy is one of the technologies that has stood out in the country. In this context, the work aimed to evaluate the different methods of a drip irrigation system as a function of the use of an indoor amorphous photovoltaic pumping system, without electrical energy storage. The study was installed at the State University of Western Paraná. Voltage and current data were generated by the photovoltaic panels; solar irradiation was measured by the pyranometer device; the water pump flow rate was determined using the flow meter and in-line drip tube types. Irrigation performance was determined by the water distribution uniformity coefficients (CUD) and Christiansen’s uniformity coefficient (CUC). Tests were performed on open and partially cloudy days. The experiment totaled 40 sampled data, half being collected on sunny days and the other half on partially cloudy days, at 9:45 am; 11:00 am; 1:30 pm and 3:00 pm. The methodology had the greatest influence on the CUD value. For the CUC parameter, the values were approximately 89% for the studied methods. Values remained under control for the Shewhart graph, but with the process capacity index affected.