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Winter School on RES,
at Afyon Karahisar University
16-18 January 2013
Prof. Socrates Kaplanis
President of the TEI of Patras
Dr. Eleni Kaplani
http://solar-net.teipat.gr
ICAROS : Man and Nature
Temperature effect on PV cell performance
The PV cell technology provides extremely beautiful products which are systematically explored and integrated into any business or system.
They attract interest due to the direct conversion of solar radiation into current, (Power) and.Heat !
although not produced as such.
However,
Sun & Heat affect its Target !!!
Temperature effect on PV cell performance:
A solar roof affected by Tc in the RES Lab. TEI Patras
PV cell ageing due to Tc
PV cell browning due to hot spotsTc
PV array placed almost horizontally on a roof.
Tc effect ?
Temperature effect on PV Winter School
(i,V) characteristic curve of a PV-cell
The characteristics of a diode at dark and under illumination are given by the
superposition of the two lines. This (i,V) provides the current i= iph- I0.
Temperature effect on PV Winter School at Afyon Karahisar University
We call characteristic curve of a PV-cell the one which represents the current i delivered by the
PV-cell versus the voltage, V, across the
resistance, which is connected to its terminals.
The characteristic curve can be understood theoretically if we design the electric equivalent
circuit of a PV-cell, which is a current generator
connected in parallel with a diode.
A simple electric equivalent circuit of a PV cell
1eIii kT
qV
0ph
1
I
iln
q
kTV
0
ph
oc
General type current conservation
sh
sDphRDph
R
irVIiiiIii
sh
The 2 diode model
1eI1eIi
Iii
T
s
T
s
2V
irV
r
V
irV
0ph
Dph
Studying (i-V) and PV-cell
performance
Question: Does the characteristic i-V depend on the temperature of the PV cell?
Answer: Yes.
Comment: isc slightly increases with Tc, while VOC decreases as Tc increases.
isc and Voc dependence on Tc
The dependence on temperature has to be taken into account for the various PV-sizing problems and accurate calculations.
isc increases slightly with Tc, according to:
VOC decreases, as TC
increases according to:
per PV-cell, or for ns PV-cells in series
C
V102.3
dT
dV0
3OC
104sc
sc
K103dT
di
i
1
C
Vn102.3
dT
dV0s
3OC
Various expressions on PV cell basic quantities
i-V characteristic :
T108.7
VirVexp1ii
5
ocssc
300T1031CA0.034i 4sc
T300
C0.06log0.631.25V 10oc
srAC0.051300T0.00060.8FF
100%0.1CA
FFVi ocsc
100%0.1CA
Vi
Reference systems to study PV cell performance
N.O.C.T.(Normal Operating Cell Temperature)
In order to design a PV-generator and especially to estimate the installed power or the peak power, Pm, (Wp) there should be a reference system on which the power delivered by the PV-generator will be estimated.
As the PV-panel performance depends on solar insolation and temperature or on environmental parameters, there are two-reference systems in use.
S.T.C. reference system
(S.T.C.)- Standard Test Conditions
This implies that for PV-cell tests, the environmental conditions should be:
Solar Intensity on the PV-cell: 103 W/m2 or 100 mW/cm2
Temperature of the PV-cell: TC=250C, and
Solar spectrum AM1.5 (air mass),
Another set of conditions is the so-called Standard Operating Conditions (S.O.C.)
These conditions have been proposed in order to determine
the peak power Pm or Wp, as they approach better the
reality.
S.O.C
These conditions are: Solar insolation on the PV-cell: IT=800 W/m
2 , the
ambient temperature, Ta=20 0C, and wind velocity VW
Problem
A PV-cell operates in an environment Ta =30 0C
with solar intensity, on it: IT=800 W/m2.
Estimate Tc.
Solution:
From the theory of heat transfer as IT is partially absorbed by the PV-cell its temperature increases above Ta.
It is proven that Tc satisfies the relationship:
Twac IhTT
CCCW
Km
m
WC 000
02
2
0 54243003.080030
W
KmhW
02
03.0
Problem
A PV-panel consists of 34 cells in series.
When IT=700W/m2; Ta=34
0C;
isc=3A; Voc=20.4V; Pmax=45.9W;
PV-cell characteristics under S.T.C. NOCT=430C.
Find : isc, Voc, Pmax under the above conditions.
Steps:
1.
We assume that isc does not change dramatically with TC, as Voc does
2. Estimate ,
Put, NOCT=430 C, Ta=340 CTC=54.120 C
AA 1.27.03 sci
8.0
7.0
20:
0
CNOCT
TTT aCC
Estimate new Voc under field conditions
VoltsVT
dT
dVV C
oc
oc 1.18)2512.54(34103.24.20)25(30 0oc,54.12V
75.04.203
9.45
VA
W
ocsc
m
ocsc
mm
Vi
P
Vi
ViFF
Why do we estimate FF ?
FF does not change dramatically with TC; we assume it constant
. Estimate the corrected Pmax
WVoltsACVm
WiFFP ocsccondnew 5.281.181.275.0)12.54(700
0
2max,
621.09.45
5.28
W
W
That is, the PV-panel operates at 62.1% of its peak level.
PV cell efficiency change with Tc vs C
The rate of change of PV-efficiency with T is given by:
dT
FFd
FF
1
dT
id
i
1
dT
dV
V
1
dT
d
1 sc
sc
oc
oc
Voc vs Concentration with Tc as parameter
Efficiency vs C with Tcas parameter
Power decreases by 0.4% for every 10C increase
Experimental results with transient
consideration
The change in Voc and isc does not take
place in a dt of time, but it is based on the
law of energy balance which has an
inherent exp term.
That is to be discussed later in these
lectures
Voc transient vs t at natural air environment;
starts from 0.579 to 0.525.
time constant =40 s
-100
0
100
200
300
400
500
600
700
0 50 100 150 200 250 300 350
Tasi
Transient isc vs t at natural air flow environment,
isc starts from 0.375 and levels out at 0.397 A.
Time constant =40 s
-50
0
50
100
150
200
250
300
350
400
450
0 50 100 150 200 250 300 350
Reyma
PV cell transient temperature profile natural
heat flow at IT= 103 W/m2 time constant = 40 s
16
21
26
31
36
41
46
51
0 50 100 150 200 250 300 350
Tc
Ta
The same as before with forced air flow
to extract heat
0
100
200
300
400
500
600
700
0 100 200 300 400 500
Tasi
The same IT as before for forced air
flow
-50
0
50
100
150
200
250
300
350
400
0 100 200 300 400 500
Reyma
PV cell temperature profile at same IT with forced air
flow. The same time constant; lower Tc ; lower losses
16
18
20
22
24
26
28
30
0 100 200 300 400 500
Tc
Ta
Voc profile at IT higher than before; the temp.
effect is higher; almost the same; no fan used. Voc started from 0.603 V down to 0.496 V
-100
0
100
200
300
400
500
600
700
0 200 400 600 800 1000
Tasi
isc time profile. The temp. effect is higher than for lower
IT. It starts from 0.795A and levels out at 0.871A; no fan
-200
0
200
400
600
800
1000
0 200 400 600 800 1000
Reyma
Temperature profile vs time. Time constant, , almost the same. Temp. is now much higher; no fan used
16
26
36
46
56
66
76
0 200 400 600 800 1000
Tc
Ta
Voc time profile; fan is used to extract heat off. It
starts from 0.601V and levels at 0.550 V. Time
constant the same
-100
0
100
200
300
400
500
600
700
0 100 200 300 400 500 600
Tasi
isc time profile for heat extraction conditions.
Values start from 0.797 A and level down at
0.843 A
-100
0
100
200
300
400
500
600
700
800
900
0 100 200 300 400 500 600
Reyma
PV cell Temperature time profile with fan used to
cool down the cell. The effect and the changes are
obvious
16
21
26
31
36
41
46
0 100 200 300 400 500 600
Tc
Ta
Measured Voc vs temperature in K for a c-Si cell at
various. Please, determine dVoc/dTc
VocMEAS vs Tc
0,3
0,35
0,4
0,45
0,5
0,55
0,6
0,65
290 310 330 350 370 390 410
120
100
90
80
70
60
50
40
30
20
Voc profile measured and predicted for the
same as before c-Si PV cell
60 Voc vs t
0,48
0,5
0,52
0,54
0,56
0,58
0,6
0 50 100 150 200
PREDICT
MEASURED
The BIPV performance model
The temperature developed in a PV cell working in field conditions, or integrated into a building shell, strongly affects the PV cell efficiency.
It plays a significant role in the PV cell performance and the overall annual yield.
The temperature of the PV cell depends on the solar radiation intensity on the cell, IT (W/m
2), the ambient air temperature, Ta (C), the cell technology and structure, the geometry of the PV array in the field; that is, the tilt angle and the orientation, as well as its surrounding.
The performance model
The latter might have the form of:
PV panels placed across a wall, like facades, roofs or shadow hangers, or
a PV array in free environment.
Both cases above are very important to investigate, either for the design of buildings with solar technology elements integrated into their structure, or for a more accurate estimation of the energy to be delivered by a PV generator in a period of time.
On the other hand, the wind strongly affects the PV
module temperature but not considered here.
It is necessary to distinguish between natural convection of heat, (air flow is caused by the
difference in temperatures, between the PV cell
and its environment), or forced air flow, due to
wind. Also, the wind direction matters.
The effect of the angle of inclination on the PV efficiency, as it is associated to the temperature
profile developed on the PV cell is our concern.
As the PV module may convert only a small part of the radiation into power, eg. 15% in the
case of c- Si cells, the rest of the radiation,
minus the reflected part, is dissipated, finally,
into heat.
This causes the PV cell temperature to raise above the ambient air temperature.
Provided the conditions of the PV system and its surrounding do not change fast, then,
steady state conditions prevail and the thermal capacities of the PV system may be neglected.
Energy Balance Equation
Thus, we may consider that approximately, the 85% of the solar radiation on the PV cell is converted into heat which finally flows to both PV sides, with an assumption of equal rates. This heat is then passed into the environment. The expression which may hold for the energy balance for steady state conditions takes the form:
()* = pv*IT + hpv,f * (Tpv,f Ta )+ hpv,b *(Tpv,b Ta) (1)
Giving a value to () almost 1, setting hpv,f = hpv,b =h and Tpv,f = Tpv,b = Tpv , eq(1) may take a simple
approximate form:
(1- pv )* IT = h* 2*(Tpv-Ta) (2)
Then, eq(2) may be written:
Tpv = Ta + 0.5 *(1-pv)* IT/ hpv (3)
For pv = 15% and hpv=10 W/m2K for plane
surfaces out in the open air, with a negligible wind
velocity, less than 1m/s, eq(3) gives:
Tpv= Ta + 0.0425* IT
If we set hpv =15 W/m2K, which is a case with
some wind prevailing , or a case that the air
flow past the PV back surface gets turbulent,
then instead of 0.0425 m2K/W the coefficient
becomes 0.028 m2K/W.
Such figures derived from the simple analysis above are expected when studying the effect of
IT on Tpv for cases of PV panels, outdoors.
We may, thus, well assume that:
Tpv= Ta + * IT (5)
may be a function dependent on many parameters, like:
the solar radiation spectrum, or correspondingly the clearness index, Kt,
the inclination angle, , as hpv generally depends on this angle,
the type of flow, that is natural or forced flow, and
the pattern of air flow past the PV panel, ie laminar or turbulent, which determines the value of hpv
It is important to design experiments to determine the PV panel performance, its maximum power, Pm and pv, associated to the IT and the value, as parameters.
The coefficient (Km2/W) might well be assumed as a function of the inclination of the module, , where =f(.) or it is a function of cos()., when calculating the Grashof or the Nusselt numbers,
All these lead to the conclusion that even with the same solar radiation intensity on two PV panels, which have different inclination angles, one may get different results for Pm, pv and Tpv.
A PV generator serving as a shading
device, too.
A PV generator in a free space outdoors.
Experimental set up
A system may be built to collect and manage data and measure the PV module performance equipped with:
A data logger An i-V characteristic portable system , developed and
built for this project
A Pyranometer Kipp & Zonen, type CMP3 and temperature sensors: thermocouple T ( Cu-Cons).
Additionally, for cross-check reasons, a portable infra-red thermometer, type Mikron M90 series was used. The sensors were placed on the back side of the PV module directly on the Tedlar foil.
A sensor for the ambient air temperature, Ta The i-V curves were obtained and analysed for all
cases examined.
Results
Tpv, Ta, and IT were measured, for various values from 160 to 750.
Pm and pv were determined vs IT for predetermined values of the angle of inclination, . Each measurement lasted for a period of time, let the system reach its steady state and get a whole performance profile of a range of IT values under such conditions.
The i-V curves were obtained, so that Pm was determined. Then, the specific efficiency, Pm/IT, was calculated.
1st case: the PV panel as a hang over or
shading device
The temperature difference between the PV panel and the ambient defined by, Tdif =Tpv- Ta,
increased, in general, linearly with IT, for any
angle.
Generally, Tdif decreases for the same IT on the PV panel, as the angle increases;
However, for an inclination, , equal 470 there appears that Tdif is higher than expected.
This behaviour is attributed to partial blockage in the air flow for this type of PV array set up.
This general trend for Tdif was expected, as the PV surface heat transfer coefficient,
hpv, increases as takes higher values.
It is, thus, expected that for the same value of IT , the highest Tdif value is for the
horizontal position.
Therefore, as gets smaller the Power should relatively decrease and eventually
the efficiency of the PV panel.
Tdif vs IT, on a PV panel inclined over a window.
The results are given for various inclination
angles.
Pm vs IT, for various inclination angles. For the
same IT, Pm increases as angle increases, till the 40o . The PV array acts as a shading device
. Relative efficiency vs IT for a PV array at an inclined position in front of a window. For the same value of IT the efficiency is higher as the inclination
increases. This trend reverses for high values; see curves corresponding to 47o and 75o
The relative efficiency, Pm/IT, decreases with IT
The effect on the PV panel efficiency by an increase of IT, is finally negative. In all cases, but one, the relative efficiency decreases with IT, instead of increasing with the solar radiation intensity. This is due to the stronger negative effect the temperature has on Pm and consequently on the efficiency.
Conclusively, the negative effect of temperature, dpv/d, is absolutely higher than the positive effect of dpv/dI.
On the contrary, for high values, eg for an inclination =75, the above figure shows that for low IT
2nd Case: The PV generator placed in a free
environment outdoors.
The measurements obtained are rationally interpreted, without any exceptionas the previous case.
Tdif increases with IT and takes larger values for small . In this case, Tdif takes lower values compared to case 1,
However, as the natural air flow at the back side of the PV surface changes to turbulent, due to the increase in the Grashof number, at about 400 -450, a larger drop in Tdif occurs.
On the contrary, in high values, the flow of the air passed by the PV panel turns again laminar or the layers glide over the back PV surface.
. Tdif, vs IT for various inclination angles of the PV array placed in a free environment, outdoors.
Values of coefficient
Analysis of the data, taken from the experiments show that coefficient which appears takes values, which follow the pattern:
0.025 for angles around 35o-40o,
while, it increases for lower or higher than 40o angle values, reaching 0.050 for free space environment and
0.065 for the case the PV panel is placed in front of the window.
Pm vs IT for various inclination angles. The
figure stands for a PV array positioned in a free
space, outdoors.
. Relative efficiency, Pm/IT vs IT for various inclination angles. The figure holds for a PV array
placed in a free space, outdoors.
Analysis of Results Examine the behaviour and the rate of change
of the efficiency pv over the Tdif for various inclinations and at different IT levels, in field
conditions.
Choose the curves representing the inclination angles 470 and 260, inter-related with the ones
for IT values: 700, 800, 900 W/m2.
The result is that the relative change of the efficiency over the Tdif for both the inclination
angles of the PV panel, (dpv/d)/pv, takes values from about 0.40%/0C to -0.50%/0C.
It is important to notice that the estimation of the relative change of the efficiency with
respect to temperature, (dpv/d)/pv , was tried for either:
a chosen solar irradiation level on the PV panel: 700, 800, 900 W/m2 at two different angles, or for
a specific angle of inclination, 470 or 260, in a range of IT values.
The same analysis was followed to obtain (dpv/d)/pv values using data corresponding to the curves for the angles 470 and 160, as in apropriate figures.
This analysis gave a higher value for (dpv/d)/pv. The relative change, (dpv/d)/pv, was estimated to about -1.0%/0C,
which denotes the effect that the inclination angle has in the PV performance.
he estimation of (dpv/d)/pv from the data was achieved with two approaches:
1st Approach
From a figure the (dpv/dI)/pv value was determined for an inclination angle. Then, from
the first figure dTdif/dI was determined for the
same .
Hence, (dpv/dI)/(dT/dI) /pv was estimated. The results provide that the relative change of pv per oC, is of the order of -0.5% to -0.6%/ oC for
=47o, while for = 36o the result is
-0.95%/oC and for =26o it is about 1.0%/ oC
Those results hold for the range of IT from 700 1000 W/m2
2nd Approach
In this mode, there was selected an IT value and two angles of inclination.
The effect of the angle of inclination associated to a value of IT, which changes during the day, along with the effect from the Tdif , which differs with , shows that the relative decrease in the efficiency, when the angle changes from 47o to 26o takes values:
-0.44% at 700 W/m^2 .
--0.50% at 800 W/m^2
-0.47 % at 900 W/m^2
When we analyze data for the same coefficient but for a change in from 47o to 16o ,then the relative decrease is doubled.
The integrated relative change of (dpv/dIT)/pv over a range of IT that is [(dpv/dIT)/pv]
1. for the same angle of inclination, , is obtained according to the following analysis:
[(dpv/dI)/pv]*=
[V-1oc*(dVoc/dT)*(dT/dI)+
i-1sc*(disc/dT)*(dT/dI)+
FF-1*(dFF/dT)*(dT/dI)]*
The estimation of the expression ( dpv/dI)/pv)I using from literature the values of the rate of change of Voc , isc , FF and
the rate Tpv changes with IT ,
taken from the figure, provides a theoretical value of -3.7 3.8 % for the range of measurements from 800 to 1000 W/m2
On the other hand, the analysis of the experimental data provided in the figures above give a value of -7% at 470 and 5.56 % at 160 for the same range 800 to 1000 W/m2
A new Book on RES
Renewable Energy Systems: Theory, Innovations and Intelligent Applications
Editors: Socrates Kaplanis and Eleni Kaplani (Technological Educational Institute of Patras, Greece)
Book Description: This book aims to provide a friendly and comprehensive
tool in the study of the key issues of Renewable Energy
Systems,
in order to gain a deeper insight in this broad field
through thematic investigations, and, finally,
to become able to design competitive innovations and
intelligent applications of Renewable Energy Systems in
the domestic, agricultural and industrial sectors.
This work is a collaborative attempt to elaborate useful technical information from many countries around the
world concerning the efficient and effective use and
management of Renewable Energy Systems,
either autonomous or hybrids, and
to deliver theoretical and experimental analysis in Renewable Energy Systems issues,
with numerous exercises, extended problems and case studies, simulation models and algorithms,
(Imprint: Nova Publishers, NY)