Characterization of dust accumulated on photovoltaic panels in Doha, Qatar

Javed, Wasim; Yiming, Wubulikasimu; Figgis, Benjamin; Guo, Bing

doi:10.1016/j.solener.2016.11.053

Cited by 210 publications

(97 citation statements)

References 41 publications

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“…As the calibrated sand has particle between 0.2 and 0.5 mm, these different particles dimension are thought to be the reason for this lower cleaning efficiency. Particle size observed on solar panels is usually smaller than 0.2 mm in diameter …”

Section: Resultsmentioning

confidence: 99%

“…Particle size observed on solar panels is usually smaller than 0.2 mm in diameter. 20,21 Tilting the modules at 15°improves the cleaning efficiency for SAS at high loading (320 g/m 2 ), without any effect of the orientation of the electrodes (perpendicular or parallel to the tilt axis). At loading below 100 g/m 2 , a module tilt of 15°does not seem to have an effect on the cleaning.…”

Section: Static Dust Removal Efficiency (S-dre) As a Function Of Dumentioning

confidence: 99%

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Field test and electrode optimization of electrodynamic cleaning systems for solar panels

Faes

Petri

Champliaud

et al. 2019

Progress in Photovoltaics

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Soiling is the major cause of power loss of photovoltaics (PV) and concentrated solar power (CSP) in desert areas. Electrodynamic cleaning system (EDS) is an automatic and water‐free integrated cleaning system for mirrors or solar panels, which uses pulsed electric fields to remove dust off their surface. The first EDS field test over a long period on PV modules is reported here and shows a clear effect on soiling reduction in real conditions in Saudi Arabia. A total of 458 days of measurements is analyzed, and depending on the considered periods, performance losses due to soiling (soiling rate) can vary from −0.06%/day to −0.41%/day for a reference module, while the relative soiling rate reduction using an EDS can be up to 95.7% with an average of 32.1%. Cost calculations demonstrate an added value of the modules equipped with the EDS between 2.6 and 5.2 ¢/Wp compared with usual cleaning system, which is nearly between 10% and 20% of the module price. In addition, extended indoor tests of various electrode designs of EDS for heliostat dedicated to CSP or PV applications show a high cleaning efficiency of up to 98% with front glass thickness of more than 1 mm. A good specular reflectivity, only 4% lower than the bare reference mirror, is obtained with patterned sputtered silver in a spiral electrode design. High reliability of two types of electrode deposition is demonstrated after 200 cycles between −40°C and +85°C.

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Section: Resultsmentioning

confidence: 99%

Section: Static Dust Removal Efficiency (S-dre) As a Function Of Dumentioning

confidence: 99%

Field test and electrode optimization of electrodynamic cleaning systems for solar panels

Faes

Petri

Champliaud

et al. 2019

Progress in Photovoltaics

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“…An analysis of the available literature from around the world [14][15][16] which takes into account the module type, geographical region as well as the duration of dust deposition shows that considerable PV module performance variations depend on exposure time. However, most of the studies report energy-yield loss versus exposure time without the detailed information about dust concentration density, and this precludes direct linking of local pollution condition with the PV efficiency loss [17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Impact of dust and temperature on energy conversion process in photovoltaic module

et al. 2019

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Original scientific paper https://doi.org/10.2298/TSCI19S4199JThe impact of the photovoltaic module temperature and natural dust deposition on the module front surface on the photovoltaic system performance was investigated. The study was conducted in the city center of Krakow, Poland, characterized by high pollution and low wind speed. The objective of this study was to evaluate the photovoltaic module power output decrease and energy conversion loss as a function of the dust deposition mass and cell operating temperature. The results show a significant decrease in photovoltaic efficiency when the mass deposition or temperature increases. The maximum mass deposition observed for exposure periods of one week on a single module exceeds 480.0 mg and results in an efficiency loss equal to 2.1%. The results that were obtained enable the development of a correlation for the efficiency loss caused by dust deposition which is desired by the system designers.

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“…The dust deposition of microscopic particles in the outdoor environment affects the photoelectric conversion efficiency seriously [1,2]. Many scholars had done out-door exposure tests in different areas.…”

Section: Introductionmentioning

confidence: 99%

Sucker’s reliability analysis of photovoltaic panel cleaning robot

Wang

Hengxiang

et al. 2018

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. The dust deposited on the surface makes a significant impact on the performance of photovoltaic modules. This paper mainly studies the sucker's reliability analysis of the photovoltaic panel cleaning robot. The research is carried from two aspects, the mechanical analysis and the finite element analysis. The reliability including anti-slipping, anti-overturning, and anti-twisting is researched based on the mechanical model, while the influence of the mechanical load is studied by the finite element model of the PV module. According to the constrain conditions, the sucker of the photovoltaic panel cleaning robot has been selected. Based on the prototype of PV cleaning robot, the reliability experiment is conducted to verify the sucker's reliability analysis.

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Characterization of dust accumulated on photovoltaic panels in Doha, Qatar

Cited by 210 publications

References 41 publications

Field test and electrode optimization of electrodynamic cleaning systems for solar panels

Field test and electrode optimization of electrodynamic cleaning systems for solar panels

Impact of dust and temperature on energy conversion process in photovoltaic module

Sucker’s reliability analysis of photovoltaic panel cleaning robot

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