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description Publicationkeyboard_double_arrow_right Article , Journal 2020Publisher:MDPI AG Authors:Francisco José Gimeno-Sales;
Francisco José Gimeno-Sales
Francisco José Gimeno-Sales in OpenAIRESalvador Orts-Grau;
Alejandro Escribá-Aparisi;Salvador Orts-Grau
Salvador Orts-Grau in OpenAIREPablo González-Altozano;
+4 AuthorsPablo González-Altozano
Pablo González-Altozano in OpenAIREFrancisco José Gimeno-Sales;
Francisco José Gimeno-Sales
Francisco José Gimeno-Sales in OpenAIRESalvador Orts-Grau;
Alejandro Escribá-Aparisi;Salvador Orts-Grau
Salvador Orts-Grau in OpenAIREPablo González-Altozano;
Pablo González-Altozano
Pablo González-Altozano in OpenAIREIbán Balbastre-Peralta;
Ibán Balbastre-Peralta
Ibán Balbastre-Peralta in OpenAIRECamilo Itzame Martínez-Márquez;
Camilo Itzame Martínez-Márquez
Camilo Itzame Martínez-Márquez in OpenAIREMaría Gasque;
María Gasque
María Gasque in OpenAIRESalvador Seguí-Chilet;
Salvador Seguí-Chilet
Salvador Seguí-Chilet in OpenAIREdoi: 10.3390/su122410651
The development of photovoltaic (PV) technology is now a reality. The inclusion of lithium-ion batteries in grid-connected PV systems is growing, and the sharp drop in prices for these batteries will enable their use in applications such as PV water pumping schemes (PVWPS). A technical solution for the monitoring and tracking of PV systems is shown in this work, and a novel quasi-real-time monitoring system for a PVWPS with a Li-ion battery is proposed in which open-source Internet of Things (IoT) tools are used. The purpose of the monitoring system is to provide a useful tool for the operation, management, and development of these facilities. The experimental facility used to test the monitoring system includes a 2.4 kWpk photovoltaic field, a 3.6 kVA hybrid inverter, a 3.3 kWh/3 kW lithium-ion battery, a 2.2 kVA variable speed driver, and a 1.5 kW submersible pump. To address this study, data acquisition is performed using commercial hardware solutions that communicate using a Modbus-RTU protocol over an RS485 bus and open software. A Raspberry Pi is used in the data gateway stage, including a PM2 free open-source process manager to increase the robustness and reliability of the monitoring system. Data storage is performed in a server using InfluxDB for open-source database storage and Grafana as open-source data visualization software. Data processing is complemented with a configurable data exporter program that enables users to select and copy the data stored in InfluxDB. Excel or .csv files can be created that include the desired variables with a defined time interval and with the desired data granularity. Finally, the initial results of the monitoring system are presented, and the possible uses of the acquired data and potential users of the system are identified and described.
Sustainability arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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visibility 60visibility views 60 download downloads 333 Powered bymore_vert Sustainability arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2020License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su122410651&type=result"></script>'); --> </script>
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