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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Main Authors: David L. Alvarez, Ameena S. Al-Sumaiti, Sergio R. Rivera
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9046843/
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spelling 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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