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

David L. Alvarez, Ameena S. Al-Sumaiti, Sergio R. Rivera

Research output: Contribution to journalArticlepeer-review

48 Scopus citations

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.

Original languageBritish English
Article number9046843
Pages (from-to)63832-63839
Number of pages8
JournalIEEE Access
Volume8
DOIs
StatePublished - 2020

Keywords

  • Cleaning schedule optimization
  • fourier series
  • solar energy yield
  • soling ratio

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