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Irradiance Sensing through PV Devices: A Sensitivity Analysis

In this work, a sensitivity analysis for the closed-form approach of irradiance sensing through photovoltaic devices is proposed. A lean expression to calculate irradiance on a photovoltaic device, given its operating point, temperature and equivalent circuit model, is proposed. On this expression,...

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Autores principales: Laudani, Antonino, Lozito, Gabriele Maria, Riganti Fulginei, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271766/
https://www.ncbi.nlm.nih.gov/pubmed/34206328
http://dx.doi.org/10.3390/s21134264
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author Laudani, Antonino
Lozito, Gabriele Maria
Riganti Fulginei, Francesco
author_facet Laudani, Antonino
Lozito, Gabriele Maria
Riganti Fulginei, Francesco
author_sort Laudani, Antonino
collection PubMed
description In this work, a sensitivity analysis for the closed-form approach of irradiance sensing through photovoltaic devices is proposed. A lean expression to calculate irradiance on a photovoltaic device, given its operating point, temperature and equivalent circuit model, is proposed. On this expression, the sensitivity towards errors in the measurement of the photovoltaic device operating point and temperature is analyzed, determining optimal conditions to minimize sensitivity. The approach is studied for two scenarios, a stand-alone sensor and irradiance sensing on an operating power-producing photovoltaic device. A low-cost realization of a virtual sensor employing the closed form for monitoring performance of photovoltaic module is also presented, showing the advantage of this kind of simple solution. The proposed solution can be used to create a wireless sensor network for remote monitoring of a photovoltaic plant, assessing both electrical and environmental conditions of the devices in real time.
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spelling pubmed-82717662021-07-11 Irradiance Sensing through PV Devices: A Sensitivity Analysis Laudani, Antonino Lozito, Gabriele Maria Riganti Fulginei, Francesco Sensors (Basel) Article In this work, a sensitivity analysis for the closed-form approach of irradiance sensing through photovoltaic devices is proposed. A lean expression to calculate irradiance on a photovoltaic device, given its operating point, temperature and equivalent circuit model, is proposed. On this expression, the sensitivity towards errors in the measurement of the photovoltaic device operating point and temperature is analyzed, determining optimal conditions to minimize sensitivity. The approach is studied for two scenarios, a stand-alone sensor and irradiance sensing on an operating power-producing photovoltaic device. A low-cost realization of a virtual sensor employing the closed form for monitoring performance of photovoltaic module is also presented, showing the advantage of this kind of simple solution. The proposed solution can be used to create a wireless sensor network for remote monitoring of a photovoltaic plant, assessing both electrical and environmental conditions of the devices in real time. MDPI 2021-06-22 /pmc/articles/PMC8271766/ /pubmed/34206328 http://dx.doi.org/10.3390/s21134264 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Laudani, Antonino
Lozito, Gabriele Maria
Riganti Fulginei, Francesco
Irradiance Sensing through PV Devices: A Sensitivity Analysis
title Irradiance Sensing through PV Devices: A Sensitivity Analysis
title_full Irradiance Sensing through PV Devices: A Sensitivity Analysis
title_fullStr Irradiance Sensing through PV Devices: A Sensitivity Analysis
title_full_unstemmed Irradiance Sensing through PV Devices: A Sensitivity Analysis
title_short Irradiance Sensing through PV Devices: A Sensitivity Analysis
title_sort irradiance sensing through pv devices: a sensitivity analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271766/
https://www.ncbi.nlm.nih.gov/pubmed/34206328
http://dx.doi.org/10.3390/s21134264
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