Significant Improvement in PV Module Performance Prediction Accuracy Using a New Model Based on IEC-61853 Data: Preprint
Conference
·
OSTI ID:1524313
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
This paper presents a significant improvement in accuracy for photovoltaic (PV) module performance prediction using a new approach based on IEC-61853 test data. The method is based on the concept of a single diode model and calibrates its performance across a broad set of operating conditions. The new method reduces irradiance-weighted error in maximum power point (MPP) power relative to the standard 6-parameter single diode model, on average across 20 different module types, by 88% across the entire range of measured irradiance and temperature conditions, while retaining a continuous mathematical representation of the full current-voltage characteristic that allows for accurate off-MPP module modeling.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)
- DOE Contract Number:
- AC36-08GO28308;
- OSTI ID:
- 1524313
- Report Number(s):
- NREL/CP-6A20-68637
- Conference Information:
- Presented at the 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), 25-30 June 2017, Washington, D.C.
- Country of Publication:
- United States
- Language:
- English
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