By Martin Staffhorst

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References for German PV system prices: Cases such as these are more difficult, because a PV system is a compound learning system. If growth within the German market is quite different from the global growth (which was particularly true from 2000-2004) the results can differ a lot. e. between the local and the global reference, a PR difference of approximately 11% exists. Reasons for using global capacities: • The largest proportion of costs refer to the modules. • A mayor part of the BOS cost belongs to inverters.

For Germany the default value calculated before was PPV,D = 74,0 Cent/kWh and for southern Europe PPV,S = 50,1 Cent/kWh. 000 € 14,8-118,5 10,0-80,1 System Lifetime (n) 20 yr 10-50 yr 99,6-65,3 67,3-44,2 Performance Ratio (PR0) 75% 0,5-1% 111,1-55,5 75,1-37,6 Degradation of Energy Earnings (deg) 1% 0-2% 69,1-79,2 46,7-53,6 1,5% 0,25-3% 65,1-84,3 44,0-57,4 Inflation (inf) 2% 0-5% 72,6-76,9 49,1-52,0 Imputed Interest (k) 8% 3-15% 53,6-107,9 36,3-73,0 Yearly variable Costs (cv) Table 3-1: PV kWh price ranges for input variable changes The main results of the sensitivity analysis, that not all input variables have the same influence on the kWh and that their influence may be different according to the default level, is important for the experience curve analysis.

They do not directly influence the system price at the time of installation, but they have an important influence on the yearly variable costs or on the yields of a PV system and therefore on the PV kWh price. Among these variables are for example costs of operation and maintenance, system performance ratio, lifetime of the system and degradation of energy earnings etc.. To calculate the price of a kWh-PV the variables of both groups are very important. As mentioned before most of the experience curves just concentrate on cost of PV systems or modules and neglect the improvements of the soft factors that have been made over the years.