A review on impacts from dust deposition on photovoltaic modules

Comerio, Alessandra; Muniz, Pablo Rodrigues; Rampinelli, Mariana; Fardin, Jussara Farias

doi:10.1109/induscon.2018.8627241

Cited by 8 publications

(4 citation statements)

References 51 publications

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“…In the photovoltaic current equation, Isc is the short-circuit current informed by the photovoltaic module manufacturer and λcoll is the incident solar radiation on the collector's plane given as kW/m². Considering the transposition factor (tf) [8] [9], the near shading factor (fnear) [10], the soiling factor (fsoiling) [11] [12] and the incidence angle modifier factor (fIAM) [13], the incident solar radiation on the (1) collectors plane (λcoll ) is calculated through eq. Erro!…”

Section: Mathematical Modelingmentioning

confidence: 99%

Validation of Photovoltaic Model for Application in a Distributed Energy Source Using Weather Data

Pignaton¹,

Silva²,

Silva³

et al. 2023

Rev. Contemp.

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This work presents a photovoltaic model for a simulation of the electric energy production of a distributed energy system. The model will be validated through measured weather data and energy produced by an 88.04 kWp power plant installed on the Federal University of Espírito Santo (UFES) in Vitória. The validation consists of comparing the real power data acquired by the photovoltaic plant and the power data calculated from the model using weather data, specifications of the panels and inverters and the constructive characteristics of the system. The proposed model is based on the paper “Management of an island and grid-connected microgrid using hybrid economic model predictive control with weather data”, Applied Energy, v. 278, 2020, https://doi.org/10.1016/j.apenergy.2020.115581. In addition, the model has been improved with the inclusion of new intrinsic parameters of the material, the calculation of losses and the adjustments for different tilt angles and azimuth orientations. Results of this method reveal that the model was able to reproduce the behavior of the real photovoltaic plant, presenting a mean absolute percentage error of 8.8% between real and simulated data.

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Section: Mathematical Modelingmentioning

confidence: 99%

Validation of Photovoltaic Model for Application in a Distributed Energy Source Using Weather Data

Pignaton¹,

Silva²,

Silva³

et al. 2023

Rev. Contemp.

Self Cite

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“…Increasing electricity demands have caused a global energy crisis, while the use of fossil fuels has decreased owing to the concern about the acceleration of global warming. (1) Therefore, renewable energy sources have been exploited and used increasingly. Among them, solar energy is regarded as the ideal green energy source owing to its simple system structure, high reliability, and easy expansion of power generation capacity.…”

Section: Introductionmentioning

confidence: 99%

Effect of Dust Deposition on Solar Panel in Solar Power Generation

Wu¹,

Chen²,

Peng³

2023

Sensors and Materials

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“…Dust that accumulates on solar panel surfaces blocks photons from entering the solar cell inside the panel, reducing the energy absorbed by the solar cell (Hui et al, 2014). According to statistics from some solar power plants, dust can reduce solar panel efficiency by up to 40% (Sayyah et al, 2013;Kazmerski et al, 2014;Comerio et al, 2018). Therefore, solar panels must be regularly cleaned.…”

Section: Introductionmentioning

confidence: 99%

Development of following robot for supplying power to solar panel cleaning robot

2021

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Purpose Autonomous mobile cleaning robots are widely used to clean solar panels because of their flexibility and high efficiency. However, gravity is a challenge for cleaning robots on inclined solar panels, and robots have problems such as high working power and short battery life. This paper aims to develop a following robot to improve the working time and efficiency of the cleaning robot. Design/methodology/approach The mechanical structure of the robot is designed so that it can carry a large-capacity battery and continuously power the cleaning robot. The robot determines its position and orientation relative to the edge of solar panel by using optoelectronic sensors. Based on the following distance, the robot changes its state between moving and waiting to ensure that supply cable will not drag. Findings Prototype following robot test results show that the following robot can stably follow the cleaning robot and supply continuous power to cleaning robot. The linear error of the following robot moving along the solar panel is less than 0.3 m, and the following distance between the robot and the cleaning robot is in 0.5–1.5 m. Practical implications The working time of cleaning robots and working efficiency is improved by using following robot, thereby reducing the labor intensity of workers and saving the labor costs of cleaning. Originality/value The design of the following robot is innovative. Following robot works with the existing cleaning robots to make up for shortcomings of the existing cleaning system. It provides a more feasible and practical solution for using robots to clean solar panels.

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A review on impacts from dust deposition on photovoltaic modules

Cited by 8 publications

References 51 publications

Validation of Photovoltaic Model for Application in a Distributed Energy Source Using Weather Data

Validation of Photovoltaic Model for Application in a Distributed Energy Source Using Weather Data

Effect of Dust Deposition on Solar Panel in Solar Power Generation

Development of following robot for supplying power to solar panel cleaning robot

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