Estimation of an Optimal PV Panel Cleaning Strategy Based on Both Annual Radiation Profile and Module Degradation
This paper addresses a methodology to optimize PV panel cleaning schedule. PV system yield is impacted due to soiling on panel surface. This soiling changes during the system operation as a consequence of environmental conditions. In order to reduce the impact of soiling accumulation, the panel surf...
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doaj-163935d34906499e8384fa62a5cba4232021-03-30T01:34:47ZengIEEEIEEE Access2169-35362020-01-018638326383910.1109/ACCESS.2020.29833229046843Estimation of an Optimal PV Panel Cleaning Strategy Based on Both Annual Radiation Profile and Module DegradationDavid L. Alvarez0Ameena S. Al-Sumaiti1Sergio R. Rivera2https://orcid.org/0000-0002-2995-1147Department of Electrical and Electronic Engineering, Universidad Nacional de Colombia, Bogotá, ColombiaElectrical Engineering and Computer Science Department, Advanced Power and Energy Center, Khalifa University, Abu Dhabi, United Arab EmiratesDepartment of Electrical and Electronic Engineering, Universidad Nacional de Colombia, Bogotá, ColombiaThis paper addresses a methodology to optimize PV panel cleaning schedule. PV system yield is impacted due to soiling on panel surface. This soiling changes during the system operation as a consequence of environmental conditions. In order to reduce the impact of soiling accumulation, the panel surface must be cleaned. However, cost and frequency of cleaning can affect plant revenue. Therefore, to enhance financial performance, an optimal cleaning strategy must be selected. This strategy depends mostly on energy cost, soiling rate, cleaning costs, and system efficiency. Hence, the model proposed in this work takes into account these variables in order to support the decisions during the assessment of PV yield. The methodology was evaluated through two irradiation profiles with different associated costs. As a result, the methodology made it possible to estimate a cleaning strategy optimizing the incomes under different scenarios.https://ieeexplore.ieee.org/document/9046843/Cleaning schedule optimizationfourier seriessolar energy yieldsoling ratio |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
David L. Alvarez Ameena S. Al-Sumaiti Sergio R. Rivera |
spellingShingle |
David L. Alvarez Ameena S. Al-Sumaiti Sergio R. Rivera Estimation of an Optimal PV Panel Cleaning Strategy Based on Both Annual Radiation Profile and Module Degradation IEEE Access Cleaning schedule optimization fourier series solar energy yield soling ratio |
author_facet |
David L. Alvarez Ameena S. Al-Sumaiti Sergio R. Rivera |
author_sort |
David L. Alvarez |
title |
Estimation of an Optimal PV Panel Cleaning Strategy Based on Both Annual Radiation Profile and Module Degradation |
title_short |
Estimation of an Optimal PV Panel Cleaning Strategy Based on Both Annual Radiation Profile and Module Degradation |
title_full |
Estimation of an Optimal PV Panel Cleaning Strategy Based on Both Annual Radiation Profile and Module Degradation |
title_fullStr |
Estimation of an Optimal PV Panel Cleaning Strategy Based on Both Annual Radiation Profile and Module Degradation |
title_full_unstemmed |
Estimation of an Optimal PV Panel Cleaning Strategy Based on Both Annual Radiation Profile and Module Degradation |
title_sort |
estimation of an optimal pv panel cleaning strategy based on both annual radiation profile and module degradation |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
This paper addresses a methodology to optimize PV panel cleaning schedule. PV system yield is impacted due to soiling on panel surface. This soiling changes during the system operation as a consequence of environmental conditions. In order to reduce the impact of soiling accumulation, the panel surface must be cleaned. However, cost and frequency of cleaning can affect plant revenue. Therefore, to enhance financial performance, an optimal cleaning strategy must be selected. This strategy depends mostly on energy cost, soiling rate, cleaning costs, and system efficiency. Hence, the model proposed in this work takes into account these variables in order to support the decisions during the assessment of PV yield. The methodology was evaluated through two irradiation profiles with different associated costs. As a result, the methodology made it possible to estimate a cleaning strategy optimizing the incomes under different scenarios. |
topic |
Cleaning schedule optimization fourier series solar energy yield soling ratio |
url |
https://ieeexplore.ieee.org/document/9046843/ |
work_keys_str_mv |
AT davidlalvarez estimationofanoptimalpvpanelcleaningstrategybasedonbothannualradiationprofileandmoduledegradation AT ameenasalsumaiti estimationofanoptimalpvpanelcleaningstrategybasedonbothannualradiationprofileandmoduledegradation AT sergiorrivera estimationofanoptimalpvpanelcleaningstrategybasedonbothannualradiationprofileandmoduledegradation |
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