Kurzbeschreibung
(Deutsch)
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Am Workshop hat sich klar gezeigt, dass der heute verwendete und gut eingeführte STC-Nominalwert nicht als Mass für den zu erwartenden Energieertrag geeignet ist. Einigkeit besteht bezüglich der Notwendigkeit von zusätzlichen Informationen als Entscheidungsbasis für den Moduleinkauf. Über das Wie und Was bestehen noch verschiedene Unklarheiten. Als Basis hat sich aber doch die Leistungsebene (Performance Matrix) in Funktion von Einstrahlung und Lufttemperatur herauskristallisiert.
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Schlussbericht
(Englisch)
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Up to now, the quality of solar modules has been judged by means of the STC-value. But it’s known from experience that modules with the same STC-value can show significant differences in their yearly energy yield, even if they are mounted at the same location. An approach to this problem is to prognose the yearly energy yield of a module at a certain location with the so called “Performance Matrix”. The Performance Matrix forecasts the performance of a solar module against solar irradiance and ambient temperature. To determine the performance matrix of a solar module, first its power is measured at different irradiances and temperatures; then a mathematical model is used to fit a plane through the power data. In this project the suitability of different measurement methods and mathematical models to create a Performance Matrix was analysed. For this purpose 3 modules BP580 and 3 Kyocera modules were measured indoor and outdoor. These measurement data were used to create Performance Matrices of the modules with different mathematical models. It revealed that the measurement points must cover the whole irradiance spectrum and at least a part of the temperature spectrum to create a reliable Performance Matrix. To obtain measurement data, Indoor measurements with a sun simulator are suitable. Outdoor measurements can also be used, but under certain circumstances (changing weather conditions, changing angle of incidence etc.) a high scatter of the data can occur which makes necessary a filtering of the measurement points before creating the performance matrix. At least two of the investigated mathematical models were suitable to create a reliable performance matrix with relatively few measurement points. Using these models, yearly brut energy yields of 1100 kWh/kWp to 1200 kWh/kWp were predicted for Zurich, which is reasonable. The differences between the yearly energy yields calculated with the different Performance Matrixes were small: all energy yields were within 4% of the average energy yield, for Kyocera as well as for BP580 modules. The small standard deviation showed the high consistency between the different sets of measurement data and between the mathematical models. The mathematical models and the measurement methods are continuously improved. In the next steps it should be verified, how close the predicted energy yields are to practice and if the Performance Matrix depends on geographical location of the module or on the inclination angle.
Auftragnehmer/Contractant/Contraente/Contractor:
LEEE-TISO, SUPSI
Joint Research Centre JRC
Paul Scherrer Institut
Enecolo AG
Autorschaft/Auteurs/Autori/Authors:
Kröni,Robert
Stettler,Sandra
Friesen,Gabi
Chianese,Domenico
Kenny,Robert
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