2.1. Photovoltaic module
For the experiment, two new monocrystalline photovoltaic panels (same manufacturing batch) were used. Table 1 details the technical specifications of the panels according to the manufacturer. Both panels were tested before the experiment (open circuit voltage - Voc and short circuit - Isc) to ensure optimum performance.
Table 1. Photovoltaic panels technical specifications.
Parameter
|
Value
|
Brand, model
|
Intipower, CYC90-12
|
Maximum power in STC* (P max)
|
90 W
|
Open circuit voltage (Voc)
|
21.2 V
|
Short circuit current (Isc)
|
5.86 A
|
Maximum power voltage (Vmp)
|
17.2 V
|
Maximum power current (Imp)
|
5.23 A
|
System’s maximum voltage
|
600 V DC
|
Area
|
0.648 m2 (1200 mm x 540 mm)
|
(*STC: 1000 W/m2, AM1.5, 25 °C)
Both photovoltaic panels were placed on the roof of a building, with no shade, facing north and with an inclination of 0°, which guaranteed homogeneity in dust accumulation. A reference panel (kept always clean) and a test panel (with dust accumulation, under the influence of wind and rain) were used.
For the determination of the electrical load, each of the photovoltaic panels fed an electrical load of 130 W (maximum power) in 24 V in direct current.
The measurement of solar irradiance on the photovoltaic panels was performed using a pyranometer (Model SP-110-SS; Sensitivity of 0.2 mV W/m2; Brand: Apogee Instruments) that measured the global irradiance.
The electric current was determined with a current meter that works with a Hall effect sensor (Model ACS712ELCTR-20A-T; Sensitivity of 100 mV/A; Arduino), connected to the data acquisition system (DAS) (Model 34972A LXI Data Acquisition/Switch Unit; Keysight Technologies), which allowed the acquisition of current, voltage, resistance, frequency and temperature RTD signals.
Temperature was measured using Teflon-coated 0.1mm diameter K-type thermocouples. Uncertainties were calculated using the Kline McClintock method [17] (Table 2).
Table 2. Studied uncertainties.
Parameter
|
Unit
|
Uncertainty (%)
|
Reference
|
Solar irradiance
|
W/m2
|
± 0.5
|
Instrument
|
Area
|
M
|
± 0.3
|
Instrument
|
Electric current
|
A
|
± 0.5
|
Instrument
|
Voltage
|
V
|
± 0.1
|
Instrument
|
Temperature
|
° C
|
± 2.5
|
Instrument
|
Wind speed
|
m·s-1
|
± 3
|
Instrument
|
Solar power
|
W
|
± 0.6
|
|
PV Electric power
|
W
|
± 0.5
|
|
PV Electric efficiency
|
W/W
|
± 0.8
|
|
The photovoltaic panels were exposed to solar radiation (Fig. 1). The tests were carried out from October 2018 to March 2019 from 06:00 a.m. to 05:30 p.m. to obtain representative results.
2.2 Dirt factor evaluation
The dust or dirt deposited on the surface of the PV panels was characterized by its density (g/m2) and its particle size [9]. The determination of the effect of dirt on efficiency depends on the location, that is, it is related to the environmental pollution of the air in the studied area, therefore, it is not possible to generalize a type of dirt for all cases [18]. Different places can have different types of particles suspended in the atmosphere, and this can have an effect in the reduction of the solar radiation that reaches the panels [31].
The main sources of air pollution in the city of Arequipa come from activities such as brick and cement production and ashlar quarries. In brick production, clay is generally used as a raw material [19], cement is the main element used in urban buildings and is present in the air in different concentrations [9], and ashlar, material of volcanic origin, traditional in Arequipa’s architecture, is extracted from several quarries where they are also cut and carved, generating fine ashlar particles found in the environment due to wind [20]. Concerning photovoltaic panels’ efficiency, studies determined that if the dust particles are smaller, the efficiency losses are greater, due to their uniform distribution or deposition on the surface of the panel, therefore, the light that can attain the cells is less than for larger particles deposits [21]. According to the literature, the size of particles in the atmosphere varies between 1 µm and 100 µm.
Based on the previously explained arguments, clay, cement and ashlar dust samples were used. The size of these dust samples was less than <75 µm. To determine the particle size of the powders, ASTM C 136 - 01 “Standard Test Method for analysis of fine and coarse aggregates through sieving” and ASTM C 117 - 95 “Standard Test Method for material finer than No. 200 mesh (75 µm) in mineral aggregate through washing” were reviewed. For particle size analyzes, a quantity of powder was added to a No. 200 mesh screen (75 µm) and stirred manually. The collected powder was used for the study.
A Quattro S Thermo Scientific Scanning Electron Microscope (SEM) with UltraDry Thermo Scientific Energy Dispersion Spectroscopy Detector (EDS) was used to perform an image characterization and determine the morphology and the chemical composition of the powder under study.
The indicator that best reflected the deposition of dust accumulated on a panel was the surface density (g/m2) [8,9]. In accordance with what was reviewed, 5 g/m2, 15 g/m2, 25 g/m2 and 35 g/m2 densities were selected, the surface area of the panels under study was determined, as well as the amount of each powder that would be used (<75 µm). Subsequently, each type of powder was placed manually, using around a 1 m high cardboard cover around the panel which prevented the loss of dust. The suspended particles were deposited on the surface of the photovoltaic panel by the effect of gravity (Fig. 2).
2.3 Wind factor evaluation
The evaluation of the effect of the wind was carried out using an industrial fan with three power settings (52 W, 58 W, 73 W). To homogenize the wind speed and to distribute it evenly on the panel, a cover was placed around the fan (Fig. 3). The wind speed generated by each fan power level was measured using an anemometer. The wind speeds were 3.6 m/s, 3.9 m/s and 4.1 m/s, respectively.
2.4 Rain factor evaluation
The evaluation of the effect of rain was carried out under natural rain precipitation conditions. Rain affected the performance of the photovoltaic panel during energy production since clouded skies generally cause a drop in solar irradiance