In Situ Tests of the Monitoring and Diagnostic System for Individual Photovoltaic Panels

Mariusz Woszczyński, Joanna Rogala-Rojek, Sławomir Bartoszek, Marian Gaiceanu, Krzysztof Filipowicz and Krzysztof Kotwica
Additional contact information
Mariusz Woszczyński: KOMAG Institute of Mining Technology, Pszczyńska 37, 44-101 Gliwice, Poland
Joanna Rogala-Rojek: KOMAG Institute of Mining Technology, Pszczyńska 37, 44-101 Gliwice, Poland
Sławomir Bartoszek: KOMAG Institute of Mining Technology, Pszczyńska 37, 44-101 Gliwice, Poland
Marian Gaiceanu: Department of Automatic Control and Electrical Engineering, Faculty of Automatic Control, Computers Science, Electrical and Electronics Engineering, Dunarea de Jos University of Galati, Domneasca Street 47, 800008 Galati, Romania
Krzysztof Filipowicz: Faculty of Mining, Safety Engineering and Industrial Automation, Silesian University of Technology, ul. Akademicka 2, 44-100 Gliwice, Poland
Krzysztof Kotwica: Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology in Kraków, al. Mickiewicza 30, 30-059 Kraków, Poland

Energies, 2021, vol. 14, issue 6, 1-16

Abstract: The dynamic development of photovoltaic systems in the world and in Poland is mainly related to the drop in prices of installation components. Currently, electricity from photovoltaics is one of the cheapest renewable energy sources. The basis for effective energy generation is, first of all, failure-free operation of the photovoltaic system over a long period of operation, up to 30 years. The paper presents the results of a study of a low-cost distributed system for monitoring and diagnosis of photovoltaic installations (SmartPV), capable of assessing the operating parameters of individual photovoltaic panels. The devices were tested by connecting them to an existing photovoltaic installation, allowing the measurement of operational parameters of individual photovoltaic panels as well as operating conditions such as illuminance and panel surface temperature. The data were recorded on a server using wireless Wi-Fi transmission. Interesting data were collected during the tests, confirming the usefulness of the suggested device for monitoring the photovoltaic installations. Differences in performance of the photovoltaic panel depending on solar radiation and surface temperature were recorded. The temperature coefficient of power was determined, allowing for increased accuracy in the prediction of generated power. The correct recording in different situation, i.e., shading, sensor damage or weather anomalies, was verified. Based on the collected data, rules will be defined for an expert application which, in combination with SmartPV devices, will ensure a quick response to any malfunctions of the photovoltaic system, both related to failures and those resulting from natural degradation during operation.

Keywords: photovoltaic panel; wireless diagnostic system; prediction; malfunctions (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/6/1770/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/6/1770/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:6:p:1770-:d:522137

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().