Programm Photovoltaik Ausgabe 2008 ... - Bundesamt für Energie BFE

7/8
name of method institute
power or efficiency
equations
SSE CREST �(G,25°) = C0+C1G+C2lnG TC@1000W/m²
Yield Simulator ECN avg �(G,25°)
Somes UU
�(
G) G
Pt � Pnom�
�
�(1000)
1000
MotherPV INES avg �(G,25°) TC(G)
temperature
coefficient(s)
average TC
(250,500,750,1000W/m²)
TC=0.4%/°C (default value)
2
PV-SAT H2M � �G, T � a � a G � a ln( G * m / W ) � �1��( T � 25�
Matrix method SUPSI
ESTI-ER JRC
MPP
2
ZENIT ISE P(
G,
T)
a �G
� b �log�G�1�
� Module
1
2
3
Im = Im,stc·G/1000·[1+�Im·(�T +T – 25)]
Vm = Vm,stc + C0·ln(G/1000) + C1·(ln(G/1000))² + �Vm·(�T·+ T - 25)
P(G,T)= Im,stc·G/1000·[1+�Im·(T – 25)] · (Vm,stc + C0·ln(G/1000) +
C1·(ln(G/1000))² + �Vm·(T - 25))
2 �log�G�e� � �
�1�
�G
� d ��
� 25�
�
� �G
� c ��
� 1 �
TMOD
� G � �
Table 5: List of the performance models reviewed in the RR with the groups operating them.
Table 5 shows the modelling methods evaluated and applied in this work and the groups developing
and operating them. The methods are characterised by their determination of either the real operating
efficiency � or power P of a module at various environmental conditions. They are therefore easily
comparable since one term can be easily transformed to the other by applying the following equation
P= �·A·G (A indicates module area, G describes the incident irradiance). The main differences between
the methods are the ways to handle the input data, the execution of the single steps and the fit
equations used.
The first round robin has been concentrating on the energy prediction of single PV modules. It was
based on sets of monitoring data (1-10 minute resolution) of different module technologies (cSi, aSi,
CIS, CdTe) measured at different sites by various European test-laboratories (ZSW-DE, INES-FR,
ISAAC-CH, CREST-UK, ECN-NL, Solarlab-PL, Helsinki-FL). Spectral and angle of incidence effects
were not considered at this stage.
Difference predicted-measured energy
10%
8%
5%
3%
0%
-3%
-5%
-8%
-10%
Pyranometer as reference
Isc as reference
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Figure 5: Monthly energy prediction accuracy of a c-Si module by applying either pyranometer data
for irradiance determination or the indoor measured module short circuit current as self reference.
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