Optimization of PV Cleaning Practices: Comparison Between Performance-Based and Periodic-Based Approaches

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dc.contributor.authorAbdulla Alhajeri, Rashed
dc.contributor.authorBassam Abu-Hijleh
dc.date.accessioned2025-05-08T13:28:25Z
dc.date.available2025-05-08T13:28:25Z
dc.date.issued2020
dc.description.abstractSoiling of photovoltaics (PV) panels is affected by various factors such as relative humidity, dust concentration, and panel tilt angle. The soiling can lead to significant losses in elec tricity production, especially in a place like Dubai, UAE. Soiling can also lead to long term damage of the PV panels such as degradation and delamination due to the hot spots caused by dirt deposition. It is important to choose the right cleaning strategy (method and frequency) to maximize the electricity production and economic performance of the PV facility. An optimization algorithm was developed and tested for multiple PV panel configurations based in Dubai Water and Electricity Authority’s (DEWA) outdoor test facil ity (OTF) solar lab. The algorithm’s input included electricity production, soiling rates (SRs), electricity price, and cleaning costs. The output included number of cleaning events and the extra revenue as compared with the current practice of periodic (5-day cycle) manual cleaning. Four different cleaning scenarios were tested and compared with the current scenario. Three scenarios resulted in improved net cost benefit (NCB), up to 34% for the case of performance-based manual cleaning. The fourth scenario resulted in diminished NCB, down by 245% for the case of daily automatic cleaning. Other findings of the study included higher tilt angles that resulted in lower cleaning requirements and thin-film PV panels that required less cleaning than first generation PV panels (mono/poly crystalline). The algorithm is an effective yet simple tool to help operators optimize the NCB of their PV facilities. [DOI: 10.1115/1.4046918]
dc.identifier.citationAlhajeri, R.A. and Abu-Hijleh, B. (2020) “Optimization of PV Cleaning Practices: Comparison Between Performance-Based and Periodic-Based Approaches,” J. Eng. Sustain. Bldgs. Cities, 1(2).
dc.identifier.doihttps://doi.org/10.1115/1.4046918.
dc.identifier.issn2642-6641
dc.identifier.urihttps://bspace.buid.ac.ae/handle/1234/2961
dc.language.isoen
dc.publisherASME DIGITAL COLLECTION
dc.relation.ispartofseriesJ. Eng. Sustain. Bldgs. Citiesv1 n2 (20200501)
dc.subjectenergy, optimization, photovoltaics
dc.titleOptimization of PV Cleaning Practices: Comparison Between Performance-Based and Periodic-Based Approaches
dc.typeArticle
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