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circuit current (Is.c) with the effect of our synthesized nanoparticle coating compared to both quite
stable open circuit voltage (Vo.c) and fill factor (F.F). Overall, the increase in the current, and
consequently the power, could be explained due to the increase in the rate of photoelectrons,
whether through a higher generation rate due to optical conversions and/or the better mobility
due to
a conductive nanostructure coating.
(a) (b)
Figure 5. (a) P–V curve and (b) I–V curve of silicon solar cells in both the uncoated (normal) case
and those coated with REDC
NPs.
Table 1. Comparison between coated and un‐coated cells.
Condition ܄ .ࢉ ۷࢙
.ࢉ F.F િ %
Uncoated 0.5155 0.1537 0.6301 15.1075
coated cell 0.5095 0.1718 0.6322 16.7452
Beside the advantage of multi‐optical conversions of REDC NPs, these nanoparticles have the
ability to improve the electrical conductivity of the generated photoelectrons of solar cells through
the great number of formed O‐vacancies. Then, we aimed to simulate Si solar cells before and after
the REDC NP layer coating through studying the normalized generation rate and field distribution.
Figure 6 shows the difference in generation rate curves, and the surface electric field distributions
are shown in Figure 7a,b. A simulation model has been built in a two‐dimensional (2D),
semiconductor module. This model deals with REDC NPs as it is a conductive layer with a band
gap ܧ ൌ 3.31 eV, room temperature conductivity σൌ77 ൈ10ି S/cm , and electron mobility
μୣൌ2.8 ൈ 10ି cmଶ/V s [20,21]. From Figure 6, it has been proved that a REDC NP coated cell has
a little bit of improvement in the generation rate curve. The difference between the maximum of the
curves before and after the NP coating layer is calculated to be about 0.408%. That gives an
indication that the conductivity impact of the coating nanoparticles has a major impact in the solar
cellʹs
efficiency
increase
rather
than
the
optical
conversions.
Figure5. (a)P–Vcurveand(b) I–Vcurveofsiliconsolarcells inboththeuncoated
(normal) caseandthosecoatedwithREDCNPs.
Beside the advantage of multi-optical conversions of REDC NPs, these
nanoparticleshavetheabilitytoimprovetheelectricalconductivityofthegenerated
photoelectrons of solar cells through the great number of formed O-vacancies.
Then, we aimed to simulate Si solar cells before and after the REDC NP layer
coating through studying the normalized generation rat and field distribution.
Figure 6 shows the differen e in generation rate curves, and th surface electric
field distributions are shown in Figure 7a,b. A simulation model has been
built in a two-dimensional (2D), semiconductor module. This model deals with
REDC NPs as it is a conductive layer with a b nd g p Eg “ 3.31 eV, room
temperature conductivityσ“ 77 ˆ10´6 S{cm, and electron mobilityµe“ 2.8 ˆ
10´7 cm2{V¨s[20,21]. FromFigure6, ithasbeenprovedthataREDCNPcoatedcell
has a little bit of improvement in the generation rate curve. The difference between
themaximumof thecurvesbeforeandafter theNPcoating layer iscalculatedtobe
about 0.408%. That gives indication that the conductivity impact of the coating
nanoparticleshasamajorimpact inthesolarcell'sefficiencyincreaseratherthanthe
optical conversions.
180
Photovoltaic Materials and Electronic Devices
- Title
- Photovoltaic Materials and Electronic Devices
- Author
- Joshua M. Pearce
- Editor
- MDPI
- Location
- Basel
- Date
- 2016
- Language
- English
- License
- CC BY-NC-ND 4.0
- ISBN
- 978-3-03842-217-4
- Size
- 17.0 x 24.4 cm
- Pages
- 216
- Keywords
- Perovskite, Plasmonics, Nanostructured Materials, Anti-Reflection Coatings, Transparent Conductive Oxides, Amorphous Silicon, Dye-sensitized Solar Cells (DSSCs) Materials, Organic Photovoltaic Materials, Solar Energy Materials
- Categories
- Naturwissenschaften Physik
- Technik