Long-term soiling of silicon PV modules in a moderate subtropical climate

López-García, J.; Pozza, A.; Sample, Tony

doi:10.1016/j.solener.2016.02.025

Cited by 62 publications

(21 citation statements)

References 15 publications

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“…11 ) was observed on the soiled module. This was also observed by different authors 26 27 28 and could be explained by non-uniform shading on the front-glass surface of the module caused by soiling effect.…”

Section: Resultssupporting

confidence: 72%

Structural and physical properties of the dust particles in Qatar and their influence on the PV panel performance

Aïssa

Isaifan

Madhavan

et al. 2016

Sci Rep

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Recently, extensive R&D has been conducted, both by industry and academia, to significantly raise the conversion efficiency of commercial photovoltaic (PV) modules. The installation of PV systems aimed at optimizing solar energy yield is primarily dictated by its geographic location and installation design to maximize solar exposure. However, even when these characteristics have been addressed appropriately, there are other factors that adversely affect the performance of PV systems, namely the temperature-induced voltage decrease leading to a PV power loss, and the dust accumulation (soiling). The latter is the lesser acknowledged factor that significantly influences the performance of PV installations especially in the Middle East region. In this paper we report on the investigation of the structural and physical properties of the desert-dust particles in the State of Qatar. The dust particles were collected directly from the PV panels installed in desert environment and characterized by different techniques, including scanning electron, optical and atomic force microscopies, X-ray diffraction, energy-dispersive, UV-Vis, micro-Raman and Fourier transform infrared spectroscopy. The vibrating sample magnetometry analyses were also conducted to study the magnetic properties of the dust particles. The influence of the dust accumulation on the PV panel performance was also presented and discussed.

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Section: Resultssupporting

confidence: 72%

Structural and physical properties of the dust particles in Qatar and their influence on the PV panel performance

Aïssa

Isaifan

Madhavan

et al. 2016

Sci Rep

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“…Other than that, the estimation of f dirt can also be performed by comparing the energy yield or output of a PV system for the cleaned PV module condition and the dusty module condition. This has been carried out in the studies in [20], [21], [23]- [26]. In these studies, the estimation of f dirt is done through the monitoring and output power or energy yield record of the following.…”

Section: Dirt Derating Factormentioning

confidence: 99%

Modeling of Soiling Derating Factor in Determining Photovoltaic Outputs

Jamil

Rahman

Shaari

et al. 2020

IEEE J. Photovoltaics

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The study of the effect of soiling on photovoltaic (PV) system performance is a crucial issue judging from numerous research publications. The reduction in the PV system performance is because of soiling that differs from one climatic region to another. In this research, the power losses due to soiling of the PV systems in Malaysia based on the calculation of a dirt derating factor (f dirt) were determined. A new mathematical model to correlate f dirt and the PV module area was developed based on the regression analysis from a site data location. The findings indicate that the effect of soiling reduces the PV systems output power at an average of 26.22% at Setiu over a period of 12 months. From this study also, a new mathematical model was created for f dirt forecasting in the research site. Uniquely, this mathematical model can do the prediction by only known PV module area or size as the independent variable, much simpler than using the multivariables equation.

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“…The analysis has shown that, while it is expected that, during its lifetime, a PV system in India will produce higher amounts of energy compared to the UK, due to its greater solar resource, the environmental stresses might reduce this possibility. Thus, further education on array cleaning regimes and operation and maintenance issues is needed in countries such as India for the better exploitation of their solar resource (Mani and Pillai, 2010;Pillai et al,2014;Lopez-Garcia et al, 2016). A study regarding the potential of PV systems in countries with high solar insolation clearly demonstrated the advantage of installing a PV system in such locations (Makrides et al, 2010).…”

Section: Figmentioning

confidence: 99%

A combined model for PV system lifetime energy prediction and annual energy assessment

et al. 2019

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A key aspect for high photovoltaic (PV) system penetration is financial viability, the assessment of which is dependent on a reliable prediction of the lifetime energy output of the system. For installation in a particular location, the lifetime energy prediction depends on a range of parameters, including system design, system technology and the prevailing climatic conditions. It is also important to consider how the system losses vary with time and any degradation of system components. A variety of aspects can influence PV system performance including the PV module technology used and the location where the system is installed. Other main influencing parameters are solar irradiation levels, temperature, PV system conversion efficiency, degradation factors during the lifetime, reliability and operational issues (e.g. shading) (Huld et al., 2011). In addition, there is also the uncertainty of how these parameters have been measured or estimated. The Canada Centre for Mineral and Energy Technology found that the combined uncertainty over a PV system's lifetime could be up to 7.9% for an average modelled energy yield (Thevenard and Pelland, 2013). Hence, the uncertainty value cannot be neglected in PV system performance predictions as it can play a key role in the judgement of the system's economic viability. It is well documented in the literature that uncertainties in the lifetime energy generation and solar output degradation can lead to significant investment risk (

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Long-term soiling of silicon PV modules in a moderate subtropical climate

Cited by 62 publications

References 15 publications

Structural and physical properties of the dust particles in Qatar and their influence on the PV panel performance

Structural and physical properties of the dust particles in Qatar and their influence on the PV panel performance

Modeling of Soiling Derating Factor in Determining Photovoltaic Outputs

A combined model for PV system lifetime energy prediction and annual energy assessment

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