Calibration of a single-diode performance model without a short-circuit temperature coefficient

Area of Science:

• Photovoltaic device performance analysis
• Semiconductor device modeling

Background:

• Accurate modeling of photovoltaic (PV) devices is crucial for predicting energy production.
• Traditional single-diode models (SDM) often rely on parameters like the short-circuit temperature coefficient, which can be unreliable due to spectral variations.
• Spectral mismatch correction is a standard technique in calibration laboratories to account for spectral differences.

Purpose of the Study:

• To calibrate the seven parameters of a single-diode model (SDM) for photovoltaic devices.
• To develop a more robust calibration method that avoids questionable parameters like the short-circuit temperature coefficient.
• To ensure the calibrated model accurately predicts device performance under various conditions.

Main Methods:

• Calibrating SDM parameters using current-voltage (I-V) curves measured under controlled temperature and irradiance.
• Employing a temperature-dependent extension of spectral mismatch correction, utilizing an effective irradiance ratio.
• Validating the model's predictive capability for current, power, and energy production.

Main Results:

• The calibrated SDM accurately predicts device current, power, and energy production across different conditions.
• The approach aligns with the matched reference cell method for outdoor measurements.
• Evidence of significant model discrepancy in the SDM was observed, indicating limitations.

Conclusions:

• The proposed calibration method provides a reliable way to model PV device performance.
• The findings underscore the need for further research into SDM improvements and measurement intercomparisons.
• Accurate calibration is essential for reliable energy yield predictions in photovoltaic systems.