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Evaluation of IoT-based remote monitoring systems for stand-alone solar PV installations in Kenya
The deployment of remote monitoring systems based on Internet of Things (IoT) presents an opportunity to curtail operational and maintenance (O&M) costs associated with stand-alone PV systems. This study evaluates the characteristics of the commonly employed IoT platforms, their capabilities and...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9466304/ https://www.ncbi.nlm.nih.gov/pubmed/36119761 http://dx.doi.org/10.1007/s40860-022-00190-5 |
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author | Njoka, Francis Thimo, Laban Agarwal, Ankur |
author_facet | Njoka, Francis Thimo, Laban Agarwal, Ankur |
author_sort | Njoka, Francis |
collection | PubMed |
description | The deployment of remote monitoring systems based on Internet of Things (IoT) presents an opportunity to curtail operational and maintenance (O&M) costs associated with stand-alone PV systems. This study evaluates the characteristics of the commonly employed IoT platforms, their capabilities and associated O&M cost savings. Analysis of avoided field visit costs based on three remotely monitored solar PV sites is conducted through clustering of system faults and filtering out major ones that would warrant actual site visits. The obtained results are verified with information gathered from four other PV installer companies based in Nairobi, Kenya. Results obtained from the study show that majority of system faults can be monitored and often corrected remotely. Annual site-specific cost savings associated with IoT platforms range from $2040 to $3096. In comparison to ordinarily locally monitored systems, annual operation and maintenance costs can be reduced by 47–95%. This implies that it is now possible to adequately maintain healthy solar PV systems located in remote locations ensuring their longevity and convenience. |
format | Online Article Text |
id | pubmed-9466304 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-94663042022-09-12 Evaluation of IoT-based remote monitoring systems for stand-alone solar PV installations in Kenya Njoka, Francis Thimo, Laban Agarwal, Ankur J Reliab Intell Environ Original Article The deployment of remote monitoring systems based on Internet of Things (IoT) presents an opportunity to curtail operational and maintenance (O&M) costs associated with stand-alone PV systems. This study evaluates the characteristics of the commonly employed IoT platforms, their capabilities and associated O&M cost savings. Analysis of avoided field visit costs based on three remotely monitored solar PV sites is conducted through clustering of system faults and filtering out major ones that would warrant actual site visits. The obtained results are verified with information gathered from four other PV installer companies based in Nairobi, Kenya. Results obtained from the study show that majority of system faults can be monitored and often corrected remotely. Annual site-specific cost savings associated with IoT platforms range from $2040 to $3096. In comparison to ordinarily locally monitored systems, annual operation and maintenance costs can be reduced by 47–95%. This implies that it is now possible to adequately maintain healthy solar PV systems located in remote locations ensuring their longevity and convenience. Springer International Publishing 2022-09-12 /pmc/articles/PMC9466304/ /pubmed/36119761 http://dx.doi.org/10.1007/s40860-022-00190-5 Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Njoka, Francis Thimo, Laban Agarwal, Ankur Evaluation of IoT-based remote monitoring systems for stand-alone solar PV installations in Kenya |
title | Evaluation of IoT-based remote monitoring systems for stand-alone solar PV installations in Kenya |
title_full | Evaluation of IoT-based remote monitoring systems for stand-alone solar PV installations in Kenya |
title_fullStr | Evaluation of IoT-based remote monitoring systems for stand-alone solar PV installations in Kenya |
title_full_unstemmed | Evaluation of IoT-based remote monitoring systems for stand-alone solar PV installations in Kenya |
title_short | Evaluation of IoT-based remote monitoring systems for stand-alone solar PV installations in Kenya |
title_sort | evaluation of iot-based remote monitoring systems for stand-alone solar pv installations in kenya |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9466304/ https://www.ncbi.nlm.nih.gov/pubmed/36119761 http://dx.doi.org/10.1007/s40860-022-00190-5 |
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