A Method of Calculating the Daily Output Power Reduction of PV Modules Due to Dust Deposition on Its Surface

2019 ◽  
Vol 9 (3) ◽  
pp. 881-887 ◽  
Author(s):  
Fuguang Liu ◽  
Zhen Zhang ◽  
Yuanzhe Zhao ◽  
Zengwei Zhu ◽  
Wuchun Pan ◽  
...  
Author(s):  
Arthur James Swart ◽  

The output power from a stationary PV module tends to fluctuate throughout a day. This may be due to shading caused by clouds, contrails, trees, buildings and birds. The purpose of this paper is to quantify the impact of one pigeon dropping on the output power of a 10 W PV module that is located in a semi-arid region of South Africa. Data used in this experimental quantitative study was obtained from a LabVIEW software program that was designed to monitor and record the output power of a number of identical PV modules. Observations from this data enabled photographs to be taken of the PV modules that highlight the pigeon dropping. Results indicate that the instantaneous output power of these 10 W PV modules may be reduced by up to 5%, depending on the location of the single dropping. If the dropping is not removed, then a 1.5% power reduction can be realized for an entire day. A recommendation is to regularly clean these modules in areas that are well inhabited by pigeons, as every accumulated loss of power may lead to system downtime or even component failure over a period of time.


2018 ◽  
Vol 67 ◽  
pp. 01009
Author(s):  
Arrad Ghani Safitra ◽  
Fifi Hesty Sholihah ◽  
Erik Tridianto ◽  
Ikhsan Baihaqi ◽  
Ni Nyoman Ayu Indah T.

Photovoltaic (PV) modules require solar radiation to generate electricity. This study aims to determine the effect of water cooling PV modules on heat transfer, output power, and electrical efficiency of PV modules. The experiments carried out in this study were to vary the heights of flooded water (with and without cooling water replacement control) and cooling water flow. Variations in the height of flooded water are 0,5 cm, 1 cm, 2 cm, and 4 cm. While the flow rate variations are 2 L/min, 4 L/min, and 8 L/min. The flooded water replacement control will be active when the PV surface temperature reached 45°C. When the temperature dropped to 35°C, the cooler is disabled to let more photon to reach PV surface. The results showed that the lowest heat transfer occurred in the variation of 4 cm flooded water height without water replacement control, i.e. 28.53 Watt, with an average PV surface temperature of 32.92°C. The highest average electric efficiency occurred in the variation of 0,5 cm flooded water height with water replacement control, i.e. 13.12%. The use of cooling water replacement control is better due to being able to skip more photons reach PV surface with low PV temperature.


2017 ◽  
Vol 21 (2) ◽  
pp. 915-923 ◽  
Author(s):  
Hafiz Ali ◽  
Muhammad Zafar ◽  
Muhammad Bashir ◽  
Muhammad Nasir ◽  
Muzaffar Ali ◽  
...  

The air borne dust deposited on the surface of photovoltaic module influence the transmittance of solar radiations from the photovoltaic modules glazing surface. This experimental work aimed to investigate the effect of dust deposited on the surface of two different types of photovoltaic modules (monocrystalline silicon and polycrystalline silicon). Two modules of each type were used and one module from each pair was left exposed to natural atmosphere for three months of winter in Taxila, Pakistan. Systematic series of measurements were conducted for the time period of three months corresponding to the different dust densities. The difference between the output parameters of clean and dirty modules provided the information of percentage loss at different dust densities. The dust density deposited on the modules surface was 0.9867 mg/cm2 at the end of the study. The results showed that dust deposition has strong impact on the performance of photovoltaic modules. The monocrystalline and polycrystalline modules showed about 20% and 16% decrease of average output power, respectively, compared to the clean modules of same type. It was found that the reduction of module efficiency (?clean ? ?dirtv) in case of monocrystalline and polycrystalline module was 3.55% and 3.01%, respectively. Moreover the loss of output power and module efficiency in monocrystalline module was more compared to the polycrystalline module.


Wind Energy ◽  
2012 ◽  
Vol 16 (4) ◽  
pp. 561-573 ◽  
Author(s):  
Chun Tang ◽  
Wen L. Soong ◽  
Peter Freere ◽  
Mehanathan Pathmanathan ◽  
Nesimi Ertugrul

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0241927
Author(s):  
Syed Zahurul Islam ◽  
Mohammad Lutfi Othman ◽  
Muhammad Saufi ◽  
Rosli Omar ◽  
Arash Toudeshki ◽  
...  

This study analyzes the performance of two PV modules, amorphous silicon (a-Si) and crystalline silicon (c-Si) and predicts energy yield, which can be seen as facilitation to achieve the target of 35% reduction of greenhouse gases emission by 2030. Malaysia Energy Commission recommends crystalline PV modules for net energy metering (NEM), but the climate regime is a concern for output power and efficiency. Based on rainfall and irradiance data, this study aims to categorize the climate of peninsular Malaysia into rainy and dry seasons; and then the performance of the two modules are evaluated under the dry season. A new mathematical model is developed to predict energy yield and the results are validated through experimental and systematic error analysis. The parameters are collected using a self-developed ZigBeePRO-based wireless system with the rate of 3 samples/min over a period of five days. The results unveil that efficiency is inversely proportional to the irradiance due to negative temperature coefficient for crystalline modules. For this phenomenon, efficiency of c-Si (9.8%) is found always higher than a-Si (3.5%). However, a-Si shows better shadow tolerance compared to c-Si, observed from a lesser decrease rate in efficiency of the former with the increase in irradiance. Due to better spectrum response and temperature coefficient, a-Si shows greater performance on output power efficiency (OPE), performance ratio (PR), and yield factor. From the regression analysis, it is found that the coefficient of determination (R2) is between 0.7179 and 0.9611. The energy from the proposed model indicates that a-Si yields 15.07% higher kWh than c-Si when luminance for recorded days is 70% medium and 30% high. This study is important to determine the highest percentage of energy yield and to get faster NEM payback period, where as of now, there is no such model to indicate seasonal energy yield in Malaysia.


2021 ◽  
Vol 13 (3) ◽  
pp. 032701
Author(s):  
Weiping Zhao ◽  
Yukun Lv ◽  
Zian Wei ◽  
Weiping Yan ◽  
Qingwen Zhou

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 874 ◽  
Author(s):  
Ahmed Mansur ◽  
Md. Amin ◽  
Kazi Islam

The mismatch in current-voltage (I-V) characteristics of photovoltaic (PV) modules causes significant power loss in a large PV array, which is known as mismatch power loss (MML). The PV array output power generation can be improved by minimizing MML using different techniques. This paper investigates the performance of different module arrangement techniques to minimize MML both for long series string (LSS) and long parallel branch (LPB) in series-parallel (SP) array configurations at uniform irradiance condition. To investigate the significance of MML LSS-SP configuration with dimensions: 1 × 40, 2 × 20, 4 × 10, 5 × 8 and LPB-SP configuration with dimensions: 40 × 1, 20 × 2, 10 × 4, 8 × 5 were used. A comparative analysis is made to find the effectiveness of MML reduction techniques on PV arrays with three different power ratings. Simulation results show that the PV modules arrangement obtained by the genetic algorithm (GA) and current based arrangement (Im) performed better than the arrangements obtained by all other techniques in terms of PV array output power and MML minimization. The performance of the proposed technique was analyzed for both LSS-SP and LPB-SP array configurations in 400 W, 3400 W, and 9880 W arrays. To substantiate the simulation results experiment was performed using a 400 W PV array in outdoor weather condition and obtained similar results. It was also observed that the percentage of recoverable energy (%RE) obtained by arranging the modules using the GA method was higher than Im based method for both LSS-SP and LPB-SP array configurations. A maximum %RE of 4.159 % was recorded for a 5 × 8 LSS-SP array configuration by applying the GA based MML reduction method.


2018 ◽  
Vol 7 (4.15) ◽  
pp. 290
Author(s):  
Pierre E Hertzog ◽  
Arthur J Swart

It is essential to repeat a test of a given construct in research in order to underpin knowledge, support validity and enable its application in other contexts. The purpose of this article is to present repetitive test results validating the optimum tilt angle of a stationary PV module that was installed in a semi-arid region of South Africa. An experimental design incorporating a two-year longitudinal study is used. The results for 2016 and 2017 reveal that a PV module with a tilt angle of Latitude plus 10° yielded the highest output power for winter months, while a PV module with a tilt angle of Latitude minus 10° yielded the highest output power for summer months. However, for both years, a tilt angle set to the Latitude angle of the installation site yielded the highest overall average output power (60.02 Wh per day). It is therefore recommended to install stationary PV modules at a tilt angle equal to the Latitude of the installation site for a semi-arid region in the southern hemisphere.                                                                                                                                               


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