Performance Analysis of Solar PV system using Customize wireless data acquisition system and novel cleaning technique

Gupta, Vinay; Sharma, Madhu; Pachauri, Rupendra Kumar; Babu, K. N. Dinesh

doi:10.1080/15567036.2022.2061091

Cited by 11 publications

(2 citation statements)

References 44 publications

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“…Generally, dust accumulation leads to a decrease in the solar radiation falling on the PV panels' surfaces and thus causes a fall down in the electrical energy generation of PV panels by a ratio of up to 15%/day, and this low efficiency can reach 30%/day of the total electric power produced especially in intense dusty regions [21][22][23]. In this regard [24] investigated the performance of a 106 W PV system under weather conditions over one year using a wireless data acquisition and monitoring system. The results found that the exposure of 12 months under different seasons reduced the PV system's efficiency by 24.5, 15.6, 5.14, and 1.95% in summer, winter, postmonsoon, and monsoon, respectively.…”

Section: Introductionmentioning

confidence: 99%

Designing and Manufacturing a Robot for Dry-Cleaning PV Solar Panels

AMIN

Wang

Alroichdi

et al. 2023

International Journal of Energy Research

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Solar energy is one of the most important solutions to reduce the concerns of the severe climate change phenomenon. Granted, the main manner to harness solar energy to generate power electricity is implemented through arrays made up of PV solar panels. However, the accumulation of dust on PV surfaces nevertheless remains a serious issue that considerably reduces the efficient conversion of PV panels. Therefore, this research is aimed at automating both monitoring and cleaning of the PV panel’s surfaces through the design, manufacture, and operation and evaluating a dry-cleaning robot based on a color monitoring system. The preliminary results demonstrate that the color analysis of the PV panels can distinguish between the density of dust accumulated, where the total color differences between the clean PV panels and both the PV panels with simple, moderate, and intense dust were 43.69, 61.19, and 75.23. This raised the efficiency of the power produced for simple dust panels from 88.03 to 98.91% (one cleaning round), moderate dust panels from 70.72 to 92.96%, and intense dust panels from 39.05 to 62.11% (two cleaning rounds). These preliminary finds illustrate the possibility of using this approach to automatic monitoring the PV panel color and operate the cleaning robot.

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Section: Introductionmentioning

confidence: 99%

Designing and Manufacturing a Robot for Dry-Cleaning PV Solar Panels

AMIN

Wang

Alroichdi

et al. 2023

International Journal of Energy Research

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“…We have noted here that the relationship between electrical energy and photon energy, ie the power conversion efficiency of the PSCs exceeds 25% [2], [3]. During the operation of photovoltaic panels, various problems and distortions can occur, frequently leading to degradation of the performance of the photovoltaic system [4]- [7]. Effective management of these systems requires real-time monitoring to detect anomalies in a photovoltaic installation [8]- [10].…”

Section: Introductionmentioning

confidence: 99%

Monitoring system of photovoltaic panels using 433 MHz radio frequency module

Didi

Azami

2022

IJEECS

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In this article, we presented an innovative study that allows direct monitoring of the main parameters of photovoltaic panels. Our study focuses on the skills of radio frequency modules to send the main parameters of photovoltaic cells. In this paper, we used an Esp32 microcontroller in the radio frequency (RF) transmitter block and an Arduino Uno board in the receiver block, in addition, to measure current, we used a current sensor, and to measure voltage, we implemented a voltage divider. After that, we calculated the power and the energy. Note that the various measured and calculated values are stored and used via the ThingSpeak platform. In comparison with similar studies, our achievement presents an` effective and inexpensive solution because its operating principle is based on radio frequency transmission, so it works perfectly even in the absence of the internet. Finally, our study was very well tested without detecting any abnormalities, and the results obtained are a perfect witness to our success.

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Waterless cleaning technique for photovoltaic panels on dual-axis tracker

Dahlioui

Alaoui

Laarabi

et al. 2022

Environ Sci Pollut Res

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Several soiling mitigation solutions and cleaning techniques have been developed to maintain high e ciency of photovoltaic (PV) panels. First of its kind, the investigation of the adaptability of the cleaning systems to solar trackers has been performed. The majority of these systems are dedicated to xed installations whereas only few systems that can be adapted to solar trackers as presented in the updated cleaning systems background. For this reason, this paper presents an innovative approach which consists of combining trackers with an integrated cleaning system that has been designed. Based on the conducted experimental study, a maximum of 7% in soiling losses has been found for the PV generator of 4 kWp equipped with a dual-axis tracker installed in Rabat-Morocco over almost one year. Consequently, a reduced cleaning prototype has been realized and tested to evaluate the energy recovery based on the performed cleaning. The automatic cleaning has presented a similar e ciency with the manual cleaning with a slight difference of 0.95 pp and an increase of energy of 11.5% in the arid region. Through the economic analysis carried out taking into account the gain in energy production, the automatic cleaning cost was 0.14 €/kWh. It has been found that the cleaning technique based on the telescopic arm would be more effective if the tracker is installed in an arid region where soiling is higher than Rabat. In this case the payback time of the cleaning solution is faster (8 to 9 years), hence its pro tability. Corrective cleaning Manual cleaningManual cleaning requires human resources (labor), material such as soft brushes for dry cleaning as well as water in the case of wet cleaning. Karcher (kaercher.com/us/) which is a company specialized in the cleaning products, has developed cleaning brushes made by natural and nylon bristles that avoid micro-scratches to be created on the solar glass surface. These brushes can be tted with air pressure cleaners.As bene ts, the manual cleaning is considered the most e cient method to recover PV performance and it can be performed whenever required (Gupta et al. 2019b). However, it requires high cost and water which is limited as well as scratches may be produced. According to the study of (Fernández-García et al. 2014), the use of demineralized water and a brush was the most effective compared with a jet of air or water with high pressure. The use of detergent is not required since it does not increase the effectiveness of cleaning.

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Performance Analysis of Solar PV system using Customize wireless data acquisition system and novel cleaning technique

Cited by 11 publications

References 44 publications

Designing and Manufacturing a Robot for Dry-Cleaning PV Solar Panels

Designing and Manufacturing a Robot for Dry-Cleaning PV Solar Panels

Monitoring system of photovoltaic panels using 433 MHz radio frequency module

Waterless cleaning technique for photovoltaic panels on dual-axis tracker

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