Dust accumulation effect on efficiency of Si photovoltaic modules

Cabanillas, R.E.; Munguía, H.

doi:10.1063/1.3622609

Cited by 93 publications

(35 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These larger particles are in the atmosphere and depositing, but are not being included in the measurements of airborne particulates or the calculations of deposition. Previous experiments on solar energy systems have seen a peak in deposited size distributions around 20 mm (Roth and Anaya 1980;Biryukov 1996;Cabanillas and Mungu ıa 2011), indicating that these larger particles are present and significant.…”

Section: Comparison Between Observations and Modelmentioning

confidence: 84%

Assessment of PM dry deposition on solar energy harvesting systems: Measurement–model comparison

Boyle

Flinchpaugh

Hannigan

2016

Aerosol Science and Technology

View full text Add to dashboard Cite

Soiling of solar energy systems, or the accumulation of particulate matter on their surface, can cause significant losses in energy conversion efficiency. However, predicting these losses is still not done, as no methods exist. Field measurements of mass accumulation and airborne PM 10 were conducted for more than one year at two sites in the Front Range of Colorado with the objective of developing soiling prediction models. For this study, only dry deposition was examined. The two sites, despite having different PM 10 concentrations, have indistinguishable average effective deposition velocities of 2 cm/s, although a large spread in the data was noted. These results are similar to results found in other deposition studies. The observed effective deposition velocities indicate that coarse particles are a dominant player in mass accumulation, and sampled airborne size distributions support this hypothesis. Using a model to calculate dry deposition yielded better agreement with deposition than a simple average deposition velocity data fit. This model combined with other research and models can be used for estimating average soiling rates and is most useful over long time scales especially months to years or longer.

show abstract

Section: Comparison Between Observations and Modelmentioning

confidence: 84%

Assessment of PM dry deposition on solar energy harvesting systems: Measurement–model comparison

Boyle

Flinchpaugh

Hannigan

2016

Aerosol Science and Technology

View full text Add to dashboard Cite

show abstract

“…Comparative studies of different PV module technologies performance under varied climatic conditions were reported [8,12,13]. Dust effect on the power output of PV modules and the dust particles distribution were investigated by Cabanillas and Munguia [14]. In the current study, PV modules of known power ratings were exposed to outdoor atmospheric condition for several months in Dhahran, Saudi Arabia.…”

Section: Introductionmentioning

confidence: 96%

Effect of dust accumulation on the power outputs of solar photovoltaic modules

2013

View full text Add to dashboard Cite

a b s t r a c tThere is a great potential for solar power utilization in the Eastern part of Saudi Arabia by employing solar photovoltaic (PV) modules. Dust accumulation on the surface of solar PV modules, mirrors, reflectors and other solar collectors is of great concern due to occasional to frequent dust storm in the gulf region. The performances of such devices are significantly affected by dust accumulation. This paper presents the result of a study on the effect of dust accumulation on the power output of solar PV modules in the Eastern province of Saudi Arabia. The study indicates that power decrease by as much as 50% can be experienced for solar PV modules that are left unclean for a period of over six months. Solar tracker improves power output and helps reduce dust accumulation effect by 50% at off-peak time.

show abstract

“…For instance, Elminir et al [18] observed a reduction in PV output power up to 17.4 % per month in a separate field experiment in Egypt during the months of December 2004 to June 2005 while Kymakis et al [19] monitored the performance of a PV park in Crete for one year and they found out the soiling losses were 4-5 % during the winter and 6-7 % during the summer period. Cabanillas et al [20] observed a reduction of modules power up to 13 % within 3 months in Mexico. On the other hand, experimental investigation on the reduction of the PV output efficiency presented in [21] shows that the reduction of efficiency reached up to 11.6 % when the dust deposition density was fixed at about 8 gm -2 .…”

Section: Dustmentioning

confidence: 97%

Markov process reliability model for photovoltaic module failures

2017

View full text Add to dashboard Cite

<p>This paper presents a Markov process reliability model for a photovoltaic module. This model includes all the possible failures associated to the operation of a Photovoltaic (PV) module. Failure modes are identified in detail, afterwards all the possible failure states of the PV module during the service are considered. Finally, a complete Markov process is attained to assess the probability of each failure mode occurrence and estimate the mean time to failure, probability density function of the time to module failure, hazard and survival functions of a PV module.</p>

show abstract

Dust accumulation effect on efficiency of Si photovoltaic modules

Cited by 93 publications

References 6 publications

Assessment of PM dry deposition on solar energy harvesting systems: Measurement–model comparison

Assessment of PM dry deposition on solar energy harvesting systems: Measurement–model comparison

Effect of dust accumulation on the power outputs of solar photovoltaic modules

Markov process reliability model for photovoltaic module failures

Contact Info

Product

Resources

About