1938-11 workshop on nanoscience for solar energy conversion · bolink chem. phys. lett. 46557–62...
TRANSCRIPT
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1938-11
Workshop on Nanoscience for Solar Energy Conversion
Juan BISQUERT
27 - 29 October 2008
Departament de Fisica, Universitat Jaume 1Avda. Sos Baynata sn 12071 Castello de la Plana
Spain
Impedance Spectroscopy of Nanostructured Dye-Sensitized and Organic BulkHeterojunction Solar Cells
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Impedance spectroscopy of nanostructured dye‐sensitized and organic bulk heterojunction solar cells
Juan Bisquert
Departament de Física
Universitat Jaume I
12071 Castelló
Spain
Trieste, Italia, 28 october 2008
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Fundamental model of a solar cell
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Fundamental model for a solar cell
J. Bisquert, D. Cahen, G. Hodes, S. Rühle, A. ZabanJournal of Physical Chemistry B, 108, 8106-8118 (2004)
1. Generation
2. Recombination(radiative)
3. Extraction
The necessary spatial extensionof the light absorbing material makes it necessary to considerelectron diffusion
Diffusion competes withrecombination as described by diffusion length
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Fundamental impedance model for a solar cell
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Fundamental impedance model for a solar cell
Recombination resistance isunavoidable. Prevents the internalloss of photogenerated carriers
Chemical capacitanceconverts excess carriersnumber into a potential(Fermi level)
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Fundamental impedance model for a solar cell
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Diffusion‐recombination transmission line model
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Diffusion‐recombination transmission line model
J. Bisquert, J. Phys. Chem. B 106, 325-333 (2002) F. Fabregat-Santiago, J. Bisquert, G. Garcia-Belmonte, G. Boschloo, A. Hagfeldt Solar En. Mat. Sol.Cells, 87, 117-131 (2005).
Impedance spectroscopy gives allparameters of electronicprocesses at once:ConductivityChemical capacitanceRecombination resistance
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Transmission line for diffusion‐recombination
chemical capacitance
recombination
transport
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Transmission line for diffusion‐recombination
Diffusioncoefficient
Electron Lifetime
LD much longer than thickness(low recombination)
( ) ( )[ ]2/12/12/1
/i+1/coth/i+1 kdkkkW RRZ ωωωωωω ⎟
⎟⎠
⎞⎜⎜⎝
⎛=
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Silicon solar cell
Lifetime τ = Rrec Cμ
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Silicon solar cell
Lifetime
Chemical capacitance
Recombination resistance
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Some results on dye‐sensitized solar cells withdifferent hole conductors with impedancespectroscopy
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Impedance of 11% efficiency dye solar cell
This solar cell shows ideal characteristic of diffusion-recombination modelwith recombinationresistance much largerthan transport resistanceR3 >> R1
Recombination arc R3 Diffusion WarburgR1/3
Michael Grätzel, Francisco Fabregat-Santiago, Juan Bisquert et al.,
J. Phys. Chem. B. 110, 25210-25221 (2006)
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Electron diffusion coefficient
Parameters of 11% DSC
Temperature dependence ofelectron diffusion coefficient in a DSC, as a function ofpotential
This data concordates with theprediction of the multipletrapping model
Michael Grätzel, Francisco Fabregat-Santiago, Juan Bisquert et al.,
J. Phys. Chem. B. 110, 25210-25221 (2006)
)(
2
μCRLDt
n =
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Impedance characteristics of DSCs
DSC with ionic liquid
Ion diffusion in electrolyte
Electron recombination
Charge transfer at CE
Stability
Upscaling
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Steady‐state characteristics of 11% DSC
Photocurrent-voltage curve of 11% efficiency DSC obtained at AM 1.5 solar radiation.
The dots show the calculated values based on impedance measurements carried out at different voltage bias of the cell with the same illumination.
Dashed line represents the simulated curve after subtraction of the series resistance contribution. A 10 % increase in the fill factor is obtained.
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F. Fabregat-Santiago, J. Bisquert et al JPCC (2007), 111, 6550F. Fabregat-Santiago, M. Grätzel, J. Bisquert et al (2008), submited
DSC cell with spiro‐OMeTAD as hole conductor
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DSC cell with spiro‐OMeTAD as hole conductor
LrR tt =
)1( pSRL
t −=σ
⎥⎦⎤
⎢⎣⎡ −=
kTEE cbFnexp0σσ
neμσ =
Conductivity in TiOConductivity in TiO22
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DSC cell with spiro‐OMeTAD as hole conductor
Chemical diffusion coefficient of electrons in TiO2
⎥⎦⎤
⎢⎣⎡ −−= )()1(exp0 cbFnn EEkT
DD β
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Lifetime
μτ CRctn =Voc decayVoc decay
A. Zaban et al. ChemPhysChem, 4 (2004) 859F. Fabregat-Santiago et al. J. App. Phys. 100 (2006) 034510
Potential (V)
0.60.40.20.0
τ (s
)
0.001
0.01
0.1
1
10
100OMeTADliquid
DSC cell with spiro-OMeTAD as hole conductor
1
dd −
⎥⎦⎤
⎢⎣⎡=
tV
kTe oc
decayτ
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Diffusion length of electronsnD DL τ=
DSC cell with spiro-OMeTAD as hole conductor
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Evolution of DSC at UJI
DSC record laboratorio UJI:7.2% eficiencia referencia con N719
Área 0.3 cm2
Evolución Eficiencias DSC en la UJI
Tiempo (meses)
Julio 07 Sept 07 Nov 07 Febr 08 Mayo 08 Julio 08
Efic
ienc
ia (%
)
1
2
3
4
5
6
7
8
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CdSe quantum dot sensitized SC
Ivan Mora-Seró
Universidad de AlicanteRoberto GómezTeresa Lana
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CdSe quantum dot sensitized SC
3 electrodes measurements
Closed cell
⎥⎦
⎤⎢⎣
⎡⎟⎠⎞
⎜⎝⎛ −
−−−⎟
⎠⎞
⎜⎝⎛ −= )()1(exp)(exp0 refref VVkT
eVVkT
ejj αα
j0 (Polysulfide) = 11.4 nA/cm2
j0 (I3-/I- ) = 40.7 μA/cm2
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Impedance spectroscopy of P3HT:PCBM organic solar cell
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The standard model – the pin model
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The pin model for amorphous Si
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The pin model for amorphous Si
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Results of impedance on P3HT:PCBM solar cells
Henk J. Bolink, Michele Sessolo, Alejandra Soriano (ICMol Valencia)
Juan Bisquert, Germà Garcia-Belmonte, Antoni Munar
Irati Ugarte, Roberto Pacios
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Characteristics of P3HT:PCBM solar cell
G. Garcia-Belmonte, A. Munar, E. M. Barea, J. Bisquert, I. Ugarte, R. Pacios Organic Electronics 9, 847-851 (2008)
Diffusion-recombination of electrons (minority carrier
Schottky barrier
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Impedance measurements in the dark varying forward bias ITO/PEDOT:PSS/P3HT:PCBM/Al
ITO/PEDOT:PSS/P3HT:PCBM/Al
G. Garcia-Belmonte, A. Munar, E. M. Barea, J. Bisquert, I. Ugarte, R. Pacios Organic Electronics 9, 847-851 (2008)
Bias voltage (V)
0.2 0.4 0.6 0.8 1.0
Ele
ctro
n m
obilit
y (1
0 -3
cm
2 V-1
s-1
)
0.0
0.5
1.0
1.5
2.0
2.5
3.0
illuminationdark
~2×10-3 cm2 V-1 s-1TkeD Bnn /=μ
V. D. Mihailetchi et al. Avd. Funct. Mater. 13, 43-46 (2003)
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Doping of P3HT‐Schottky barrier
Oxidation of P3HTp-doping level ~5×1016 cm-3
Minority carrier storage (electrons)
G. Garcia-Belmonte, A. Munar, E. M. Barea, J. Bisquert, I. Ugarte, R. Pacios Organic Electronics 9, 847-851 (2008)
M. S. A. Abdou et al. J. Am. Chem. Soc., 119, (1997)
Forward bias
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Shift of Mott‐Schottky plot
Forward bias
J. Bisquert, G. Garcia‐Belmonte, A. Munar, A Soriano, M. Sessolo, H. J. Bolink Chem. Phys. Lett. 465 57–62 (2008)
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Shift of Mott‐Schottky plot
Kelly-MemmingJ. Electrochem. Soc. 75, 085316 (1982)
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Kinetic limitation
J. Li and L.M. Peter, J. Electroanal. Chem. 193 (1985) 27.
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Photovoltaic model
F. El Guibaly, K. Colbow and B.L. Funt, J. Appl. Phys. 52 (1981) 3480.
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Negative capacitance in solar cells
I. Mora-Seró, J. Bisquert, et al. Nano Letters 6, 640, (2006)
CdS/CdTe solar cell
Forward bias
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Model of electron injection in organic LEDs
J. Bisquert, G. Garcia-Belmonte, A. Pitarch, H. J. Bolink, Chem. Phys. Lett. 422, 184 (2006)
1.Equilibrium
2.Equibrium between metal and surface state
3. Decrease of the occupation of the intermediate state at increasing forward bias due to higher kinetics of transfer at higher forward bias
movie
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Glass substrate
ITO
PEDOT
LEP (Super Yellow)
cathode
0 / 200 nm
80 / 150 nm
100 nm
*
OCH3
OCH3
*
OC4H9
OC4H9
OC4H9
OC4H9
x
y
zn
Bias voltage [V]
0 1 2 3 4 5 6
Cur
rent
den
sity
[A c
m-2
]
10-8
10-7
10-6
10-5
10-4
10-3
10-2
AuAg
Mg
Frequency [Hz]
100 101 102 103 104 105
Abs
(Cap
acita
nce)
[F c
m-2
]10-9
10-8
10-7
10-6 1.0 V2.0 V3.0 V3.6 V 4.0 V4.6 V
(b) Geometric Capacitance+ SCLC
Interface states: transit from positive to negative capacitance
ITO/PEDOT:PSS/SY/Al
Negative capacitance in OLEDs
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Model
J. Bisquert, G. Garcia‐Belmonte, A. Munar, A Soriano, M. Sessolo, H. J. Bolink Chem. Phys. Lett. 465 57–62 (2008)
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Model
θqNVCVC Iscscdd =−
020
2
2=
Φ+
−−
∂
∂ − xnn
eDL
nnxn αα
{ }BAkNJ I θθ −−= )1(1212{ }HnCNkNJ cI )1)(0(2323 θθ −−=
( )1)()0( −Φ+= − wnn ewJJ α
Electrostatic at the interface
Generation, recombination, diffusion in neutral region, collection in scr
Transference through ss
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Model
Ln
TkqVn
I
n
n
L
gTkqV
n
nc
In
yDHeL
kN
LnD
yJ
HeDLCN
kNJBsc
Bsc
tanh)1(
1
tanh)1(
)0( /23
0/
23θ
θ
−+
⎟⎟⎠
⎞⎜⎜⎝
⎛+−−
=
⎥⎥⎦
⎤
⎢⎢⎣
⎡⎟⎟⎠
⎞⎜⎜⎝
⎛−−
−+−Φ= −−
−− ww
LnL
L
n
nwg eeyLy
eL
LeJ αα
αα
αα
αtanh1
cosh11
22
22
The solution of the model provides the following expression for the photocurrent
This allows to determine ss occupancy and therefore, the distribution of potential and Fermi level at the interface
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Potential in space charge region and dipole layer
Voltage = 0
EFn
- 4 - 2 0 2 4
- 0.4
- 0.2
0.0
0.2
0.4
position
volta
geEFn
Voltage = 0.1- 4 - 2 0 2 4
- 0.4
- 0.2
0.0
0.2
0.4
position
volta
ge
Voltage = - 0.1
EFn
- 4 - 2 0 2 4
- 0.4
- 0.2
0.0
0.2
0.4
position
volta
ge
dark
light
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Model simulation of current-potential curve
dark
light
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Shift of Mott-Schottky plot
dark
light
: The total density (per unit area) of interfacial levels [1012 cm-2]
Electron density in equilibrium [10^12 cm-3]
J. Bisquert, G. Garcia‐Belmonte, A. Munar, A Soriano, M. Sessolo, H. J. Bolink Chem. Phys. Lett. 465 57–62 (2008)
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Acknowledgments
Funding:MCINN, ESF, Fundació Caixa Castelló Bancaixa
Homepage: www.elp.uji.es/jb.htm
E‐mail: [email protected]
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Acknowledgments
www.hopvconference.org