AS-Solar, a Tool for Predictive Maintenance of Solar Groundwater Pumping Systems

Energy for water abstraction limits the viability of some irrigable areas. Increasing efficiency and introducing renewable energy can reduce energy cost. Solar pumping is a widely recognized renewable energy solution. These pumping systems suffer special wear out due to sudden changes and for having...

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Autores principales:	Jorge Cervera-Gascó, Jesús Montero, Miguel A. Moreno
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	predictive maintenance pumping system solar pumping variable frequency drive groundwater abstraction energy efficiency Agriculture S
Acceso en línea:	https://doaj.org/article/ed71d2bb3ac742e080208e587c2f8a57
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spelling	oai:doaj.org-article:ed71d2bb3ac742e080208e587c2f8a572021-11-25T16:12:29ZAS-Solar, a Tool for Predictive Maintenance of Solar Groundwater Pumping Systems10.3390/agronomy111123562073-4395https://doaj.org/article/ed71d2bb3ac742e080208e587c2f8a572021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4395/11/11/2356https://doaj.org/toc/2073-4395Energy for water abstraction limits the viability of some irrigable areas. Increasing efficiency and introducing renewable energy can reduce energy cost. Solar pumping is a widely recognized renewable energy solution. These pumping systems suffer special wear out due to sudden changes and for having working conditions far from the nominal points. Thus, monitoring systems are becoming more frequent for maintenance issues. A new decision support system, named AS-Solar, was developed to perform predictive maintenance. This model permits detecting if the source of the anomaly in the pump performance is the pump, the electrical components (motor, variable frequency drive (VFD) or cables) or the pumping pipe. It demands real-time data from the monitoring system and an accurate simulation model, together with an optimization process that helps in the decision making in predictive maintenance. To validate the developed model, it was applied to a complex case study of a solar pumping system of 40 kWp that abstracts groundwater from nearly 200 m deep. This pumping system has a VFD, two lines of cables up to the pump and aggressive water with slimes, which causes different problems in the pumping system. In this case study, the AS-Solar model shows an acceptable accuracy, with a relative error (RE) of the 2.9% in simulated power and 7.9% in simulated discharge.Jorge Cervera-GascóJesús MonteroMiguel A. MorenoMDPI AGarticlepredictive maintenancepumping systemsolar pumpingvariable frequency drivegroundwater abstractionenergy efficiencyAgricultureSENAgronomy, Vol 11, Iss 2356, p 2356 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	predictive maintenance pumping system solar pumping variable frequency drive groundwater abstraction energy efficiency Agriculture S
spellingShingle	predictive maintenance pumping system solar pumping variable frequency drive groundwater abstraction energy efficiency Agriculture S Jorge Cervera-Gascó Jesús Montero Miguel A. Moreno AS-Solar, a Tool for Predictive Maintenance of Solar Groundwater Pumping Systems
description	Energy for water abstraction limits the viability of some irrigable areas. Increasing efficiency and introducing renewable energy can reduce energy cost. Solar pumping is a widely recognized renewable energy solution. These pumping systems suffer special wear out due to sudden changes and for having working conditions far from the nominal points. Thus, monitoring systems are becoming more frequent for maintenance issues. A new decision support system, named AS-Solar, was developed to perform predictive maintenance. This model permits detecting if the source of the anomaly in the pump performance is the pump, the electrical components (motor, variable frequency drive (VFD) or cables) or the pumping pipe. It demands real-time data from the monitoring system and an accurate simulation model, together with an optimization process that helps in the decision making in predictive maintenance. To validate the developed model, it was applied to a complex case study of a solar pumping system of 40 kWp that abstracts groundwater from nearly 200 m deep. This pumping system has a VFD, two lines of cables up to the pump and aggressive water with slimes, which causes different problems in the pumping system. In this case study, the AS-Solar model shows an acceptable accuracy, with a relative error (RE) of the 2.9% in simulated power and 7.9% in simulated discharge.
format	article
author	Jorge Cervera-Gascó Jesús Montero Miguel A. Moreno
author_facet	Jorge Cervera-Gascó Jesús Montero Miguel A. Moreno
author_sort	Jorge Cervera-Gascó
title	AS-Solar, a Tool for Predictive Maintenance of Solar Groundwater Pumping Systems
title_short	AS-Solar, a Tool for Predictive Maintenance of Solar Groundwater Pumping Systems
title_full	AS-Solar, a Tool for Predictive Maintenance of Solar Groundwater Pumping Systems
title_fullStr	AS-Solar, a Tool for Predictive Maintenance of Solar Groundwater Pumping Systems
title_full_unstemmed	AS-Solar, a Tool for Predictive Maintenance of Solar Groundwater Pumping Systems
title_sort	as-solar, a tool for predictive maintenance of solar groundwater pumping systems
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ed71d2bb3ac742e080208e587c2f8a57
work_keys_str_mv	AT jorgecerveragasco assolaratoolforpredictivemaintenanceofsolargroundwaterpumpingsystems AT jesusmontero assolaratoolforpredictivemaintenanceofsolargroundwaterpumpingsystems AT miguelamoreno assolaratoolforpredictivemaintenanceofsolargroundwaterpumpingsystems
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AS-Solar, a Tool for Predictive Maintenance of Solar Groundwater Pumping Systems

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