Characterization of dust particles in South India and investigation on soiling image analysis for photovoltaic application

Laarabi, Bouchra; Rajasekar, N.; Gopi, Nikhil Pattath; Barhdadi, Abdelfettah

doi:10.1007/s11356-022-22630-8

Cited by 7 publications

(5 citation statements)

References 40 publications

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Section: Resultsmentioning

confidence: 99%

“…[21] However, this section solely focuses on the analysis of the area covered by particles (f ). Indeed, because of its reported strong correlation with optical, electrical, or thermal losses, [17][18][19][20] this is thought to be the most relevant image analysis parameter for soiling studies. Also, building upon the previous findings of this study, the results presented in this section are obtained using the "Triangle" thresholding method.…”

Section: Spatial Distribution Of Soilingmentioning

confidence: 99%

“…However, this work focuses mainly on the area coverage and on the two parameters that are used to calculate it because of the empirical correlations that have been reported with the transmittance/reflectance losses. [17][18][19][20] In addition, it should be noted that the present work employs a single simple algorithm for image analysis, with the goal of comparing the role of the thresholding procedure. This approach was chosen because it appeared to be the most common among the experts involved in the previous study.…”

Section: Assumptions Limitations and Future Workmentioning

confidence: 99%

“…[12] In most soiling-related image analysis studies, [13][14][15][16] the U.S. National Institutes of Health's open-source Image software package has been employed for this purpose. Several authors [17][18][19][20] presented empirical correlations to convert the area covered by soiling on a glass coupon into the electrical loss experienced by adjacent PV modules. However, these correlations can lead to inconsistent results, as they are obtained with different experimental and analysis procedures.…”

Section: Introductionmentioning

confidence: 99%

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Soiling in Solar Energy Systems: The Role of the Thresholding Method in Image Analysis

Micheli,

Smestad,

Khan

et al. 2023

Solar RRL

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The use of image analysis has often been suggested as a practical way to monitor the soiling accumulated on the surfaces of solar energy conversion devices. Indeed, the deposited soiling particles can be counted and characterized to calculate the area they cover, and this area can be converted into an energy loss. However, several particle counting methodologies exist and can lead to dissimilar results. This work focuses on the role of thresholding, an essential step where particles are distinguished from a background based on the pixel brightness. Sixteen automatic thresholding methods are assessed using 13 200 micrographs of glass coupons soiled at nine locations globally. In low‐to‐intermediate soiling conditions, the “Triangle” method is found to return the minimum coefficient of variation and a mean deviation closer to zero. On the other hand, methods assuming a bimodal distribution of pixel brightness underestimate the area coverage. In addition, since soiling can be unevenly distributed over a surface, different loss estimations can be returned when the same image analysis process is used on different spots on a sample's surface. For these reasons, image analysis should be repeated at multiple locations on each investigated surface.

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Section: Resultsmentioning

confidence: 99%

Section: Spatial Distribution Of Soilingmentioning

confidence: 99%

Section: Assumptions Limitations and Future Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Soiling in Solar Energy Systems: The Role of the Thresholding Method in Image Analysis

Micheli,

Smestad,

Khan

et al. 2023

Solar RRL

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“…Furthermore, there are reports available online about off-grid solar-based floating schools in Bangladesh [21]. A significant number of practical-based research works have been conducted worldwide which reflect the state of the art of current PV technologies and their prospects for facing the global climate challenges as well [22][23][24]. However, we believe that the generation of power from PV systems only can increase the total energy production but not enough to achieve the country's sustainable development goal to meet global challenges.…”

Section: Introductionmentioning

confidence: 99%

Rooftop PV or Hybrid Systems and Retrofitted Low-E Coated Windows for Energywise and Self-Sustainable School Buildings in Bangladesh

Nur-E-Alam

Basher

Iftekharuzzaman

et al. 2022

Solar

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The electricity crisis is a common issue in Bangladesh; however, recently the electricity scenario has been getting worse due to various reasons including power generation and distribution all over the country. Meanwhile, the large number of people requires a huge amount of energy which is not possible to be met by the national grid due to the limited power generation from different plants. Among all renewable energy sources, the solar photovoltaics (PV) system is the best choice as a generation source, either off-grid or with a grid-tied connection, to reduce the pressure on the national grid. In Bangladesh, there are more than 175,000 schools, and it is possible to generate a huge amount of renewable (solar) power to supply all the schools by using rooftop PV systems. We propose a new approach that combines solar energy harvesting and savings to make the schools self-sufficient and energywise. We performed a Hybrid Optimization Model for Multiple Energy Resources (HOMER) pro simulation and find that it was possible to generate approximately 200 megawatts (MW) of power. We conducted a feasibility study on generating power from rooftop PV systems on school buildings and reduced the power consumption using retrofitted thin-film-coated glass by around 16–20% per day depending on the school size, which can help the national power grid system by either making all the schools off-grid or grid-connected to supply power to the national grid. In addition, we perform a HelioScope simulation to investigate the maximum upscaling of PV sizing for the rooftops of school buildings in Bangladesh to realize how to make each school a mini solar power station in the future. The HelioScope simulation performance showed that it was possible to generate approximately 96,993 kWh per year from one school building.

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Recent developments on advanced materials for photonics, sensing and energy conversion energy applications (AMPSECA’2021)

Robert

Laghzizil

2023

Environ Sci Pollut Res

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Characterization of dust particles in South India and investigation on soiling image analysis for photovoltaic application

Cited by 7 publications

References 40 publications

Soiling in Solar Energy Systems: The Role of the Thresholding Method in Image Analysis

Soiling in Solar Energy Systems: The Role of the Thresholding Method in Image Analysis

Rooftop PV or Hybrid Systems and Retrofitted Low-E Coated Windows for Energywise and Self-Sustainable School Buildings in Bangladesh

Recent developments on advanced materials for photonics, sensing and energy conversion energy applications (AMPSECA’2021)

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