2017
DOI: 10.3390/su9060965
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Development of a GIS Tool for High Precision PV Degradation Monitoring and Supervision: Feasibility Analysis in Large and Small PV Plants

Abstract: Abstract:It is well known that working photovoltaic (PV) plants show several maintenance needs due to wiring and module degradation, mismatches, dust, and PV cell defects and faults. There are a wide range of theoretical studies as well as some laboratory tests that show how these circumstances may affect the PV production. Thus, it is mandatory to evaluate the whole PV plant performance and, then, its payback time, profitability, and environmental impact or carbon footprint. However, very few studies include … Show more

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Cited by 21 publications
(18 citation statements)
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“…The inspection methodology is based in four main steps, according to previous works and that are detailed in the following paragraphs [8]:…”
Section: Case Study and Inspection Methodologymentioning
confidence: 99%
“…The inspection methodology is based in four main steps, according to previous works and that are detailed in the following paragraphs [8]:…”
Section: Case Study and Inspection Methodologymentioning
confidence: 99%
“…For this reason, the knowledge of recurring degradation causes and their effects is crucial, since it can help to reduce the extraordinary maintenance cost, due for instance to the substitution of broken/nonworking panels. To partially solve the problem, several monitoring systems have been conceived [40,41]. Such systems allow to intervene before breakage and damages, but entail maintenance costs.…”
Section: Sensors For Peer Review 5 Of 21mentioning
confidence: 99%
“…Rural areas throughout the world are mostly powered by diesel, and although diesel generation provides the required energy, the inhabitants of these areas suffer carbon pollution, noise pollution, diesel price fluctuation, diesel transportation/delivery costs, and lack of diesel supply reliability [37]. GIS proves to be a vital tool to support rural community energy planning [38,39] and PV system fault detection and monitoring [40].…”
Section: Review and Motivationmentioning
confidence: 99%