Simple Model for Predicting Time Series Soiling of Photovoltaic Panels

Coello, Merissa; Boyle, Liza

doi:10.1109/jphotov.2019.2919628

Cited by 69 publications

(38 citation statements)

References 20 publications

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“…A similar method was proposed by Coello and Boyle (Coello and Boyle, 2019) and uses as inputs the PM 10 and PM 2.5 concentrations, the rainfall data, and the tilt angle to estimate the soiling losses. The method starts with the estimation of the mass accumulation per time step (m, in g$m À2 ) for each dry period:…”

Section: Soiling Estimation Modelsmentioning

confidence: 99%

“…The results of the FRP extraction can vary more or less significantly depending on the chosen inputs and in particular on the cleaning threshold. In addition, it should be noted that also the rain data source can affect the soiling extraction ( Coello and Boyle, 2019 ).…”

Section: Soiling Extraction Algorithmsmentioning

confidence: 99%

“…Summary of the supporting equations for the presented models(Bergin et al, 2017;Coello and Boyle, 2019) …”

mentioning

confidence: 99%

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Monitoring photovoltaic soiling: assessment, challenges, and perspectives of current and potential strategies

et al. 2021

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Soiling is the process whereby dirt, dust, and organic/inorganic contaminants deposit on the surface of a photovoltaic (PV) module. It causes significant economic losses and can have a substantial impact on the expansion of photovoltaic technologies for energy generation. The first step to address soiling adequately is monitoring, as soiling mitigation has to be tailored to the specific conditions of each PV system and no universally valid strategy exists. The main focus of this study is to assess the current state of the art in soiling monitoring, in order to help the community better understand the needs and the challenges in this area. The potentials and the limitations of each monitoring method are discussed thoroughly in the paper, with the support of original experimental data. An estimation of the future soiling monitoring market trends is also presented, with a forecasted need for tens of thousands of new soiling monitors every year.

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Section: Soiling Estimation Modelsmentioning

confidence: 99%

Section: Soiling Extraction Algorithmsmentioning

confidence: 99%

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Monitoring photovoltaic soiling: assessment, challenges, and perspectives of current and potential strategies

et al. 2021

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“…Soiling can easily cause more than 1% power loss per day [1][2][3][4] and is a site-specific phenomenon, strongly influenced by local climatic conditions. 1,[5][6][7][8][9][10][11] The predominant type of contamination could change considerably depending on the location: mineral dust deposits 1 (Figure 1A), bird droppings ( Figure 1B), biofilms of bacteria, algae, lichen, mosses, or fungi [12][13][14] ( Figure 1C), plant debris or pollen 15 (Figure 1D), engine exhausts or industry emissions ( Figure 1E), and agricultural emissions such as feed dusts ( Figure 1F).…”

Section: Introductionmentioning

confidence: 99%

Techno-Economic Assessment of Soiling Losses and Mitigation Strategies for Solar Power Generation

Ilse

Micheli

Figgis

et al. 2019

Joule

250

123

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Soiling consists of the deposition of contaminants onto photovoltaic (PV) modules or mirrors and tubes of concentrated solar power systems (CSPs). It often results in a drastic reduction of power generation, which potentially renders an installation economically unviable and therefore must be mitigated. On the other hand, the corresponding costs for cleaning can significantly increase the price of energy generated. In this work, the importance of soiling is assessed for the global PV and CSP key markets. Even in optimized cleaning scenarios, soiling reduces the current global solar power production by at least 3%-4%, with at least 3-5 billion V annual revenue losses, which could rise to 4%-7%, and more than 4-7 billion V losses, in 2023. Therefore, taking into account the underlying physics of natural soiling processes and the regional cleaning costs, a techno-economic assessment of current and proposed soiling mitigation strategies such as innovative coating materials is presented. Accordingly, the research and development needs and challenges in addressing soiling are discussed.

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“…Modeling and characterization are important topics that necessitate the determination of the exact solar photovoltaic (PV) cell's unknown parameters values and thus optimizing the PV power generated. Solar PV generator's performances are affected by many factors, where some of them are external, related to the environmental conditions like the weather's variations (irradiation and temperature), shading phenomenon, hotspot [1], dust, cell damage, wind velocity, and soiling [2]. Others are internal, related to the electrical, physical, and mathematical modeling.…”

Section: Introductionmentioning

confidence: 99%

Study of a New Hybrid Optimization-Based Method for Obtaining Parameter Values of Solar Cells

Tchoketch_Kebir¹

2021

Solar Cells - Theory, Materials and Recent Advances

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This chapter presents a comprehensive study of a new hybrid method developed for obtaining the electrical unknown parameters of solar cells. The combination of a traditional method and a recent smart swarm-based optimization method is done, with a big focus on the application of the topic of artificial intelligence algorithms into solar photovoltaic production. The combined approach was done between the traditional method, which is the noniterative Levenberg-Marquardt technic and between the recent meta-heuristic optimization technic, called Grey Wolf optimizer algorithm. For comparison purposes, some other classical solar cell parameter determination optimization-based methods are carried out, such as the numerical (iterative, noniterative) methods, the meta-heuristics (evolution, human, physic, and swarm) methods, and other hybrid methods. The final obtained results show that the used hybrid method outperforms the above-mentioned classical methods, under this study.

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Simple Model for Predicting Time Series Soiling of Photovoltaic Panels

Cited by 69 publications

References 20 publications

Monitoring photovoltaic soiling: assessment, challenges, and perspectives of current and potential strategies

Monitoring photovoltaic soiling: assessment, challenges, and perspectives of current and potential strategies

Techno-Economic Assessment of Soiling Losses and Mitigation Strategies for Solar Power Generation

Study of a New Hybrid Optimization-Based Method for Obtaining Parameter Values of Solar Cells

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