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MODELLING PHOTOVOLTAIC POWER
Mavromatakis Fotis
Vignola Frank
Franghiadakis Yannis
T.E.I. of Crete & University of Oregon
Technological Educational Institute of Crete Laboratory of Energy and Photovoltaic Systems
Estimating photovoltaic power
Technological Educational Institute of Crete Laboratory of Energy and Photovoltaic Systems
STC
tpmG
GPP
Cell Temperature Angle of Incidence Solar spectrum Low irradiance performance Accuracy in MPPT Soiling Ohmic losses Inverter
Spectral effects
Spectra acquired by a LI1800 spectroradiometer at Heraklion, Crete. Typical cell spectral responses.
Technological Educational Institute of Crete Laboratory of Energy and Photovoltaic Systems
Low irradiance effects
Technological Educational Institute of Crete Laboratory of Energy and Photovoltaic Systems
Soiling
Technological Educational Institute of Crete Laboratory of Energy and Photovoltaic Systems
A fixed term can be used or a function related to the months in the year
Validating the model
Technological Educational Institute of Crete Laboratory of Energy and Photovoltaic Systems
Difference between modeled and observed AC power
Validating the model
Technological Educational Institute of Crete Laboratory of Energy and Photovoltaic Systems
NREL experiment Site: Cocoa, FL Altitude: Sea level 26980 measurements
Validating the model
Technological Educational Institute of Crete Laboratory of Energy and Photovoltaic Systems
NREL experiment Site: Eugene, OR Altitude: 130 m 23970 measurements
Current Results
Technological Educational Institute of Crete Laboratory of Energy and Photovoltaic Systems
Gaussian distributions σ : 0.02 or 2% probability 68% FWHM=2.355 · σ ≈ 0.05 = 5% probability 98%
To be done
Analyze all module types Detailed study of the residuals Efficiency data from manufacturers (?)
