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Estimation of an Optimal PV Panel Cleaning Strategy Based on Both Annual Radiation Profile and Module Degradation

David Álvarez, Ameena Saad Al‐Sumaiti, Sergio Rivera

2020IEEE Access55 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

RevenueReliability engineeringScheduleComputer scienceYield (engineering)Response surface methodologyPhotovoltaic systemDegradation (telecommunications)EstimationEnvironmental scienceWork (physics)Environmental economicsSimulationBusinessEngineeringEconomicsTelecommunicationsSystems engineeringMachine learningAccountingElectrical engineeringOperating systemMetallurgyMechanical engineeringMaterials sciencePhotovoltaic System Optimization TechniquesSolar Radiation and PhotovoltaicsEnergy and Environment Impacts
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