Summary
The Nonlinear Gamma Temperature Dependence model extends the recombination model by using a polynomial relationship for the diode ideality factor temperature scaling instead of a linear relationship. This model is implemented as OneDiodeRecombinationNonLinear in PlantPredict and includes four additional gamma coefficients () that define a fourth-order polynomial. The nonlinear model provides improved accuracy for modules with complex temperature-dependent behavior, particularly at temperature extremes.Inputs
| Name | Symbol | Units | Description |
|---|---|---|---|
| Reference Ideality Factor | — | Diode ideality factor at STC | |
| Reference Temperature | K | Reference temperature (typically 298.15 K) | |
| Actual Temperature | K | Operating cell temperature | |
| Gamma Coefficient A | 1/K | Linear coefficient | |
| Gamma Coefficient B | 1/K² | Quadratic coefficient | |
| Gamma Coefficient C | 1/K³ | Cubic coefficient | |
| Gamma Coefficient D | 1/K⁴ | Quartic coefficient |
Outputs
| Name | Symbol | Units | Description |
|---|---|---|---|
| Scaled Ideality Factor | — | Temperature-scaled diode ideality factor |
Detailed Description
Temperature Delta
where temperatures are in Kelvin.Polynomial Gamma Scaling
This fourth-order polynomial allows the ideality factor to vary nonlinearly with temperature, capturing complex physical behavior at temperature extremes.Integration with Recombination Model
The scaled gamma is then used in the recombination model calculations:- Calculate alpha:
- Scale saturation current using gamma
- Solve circuit equation with recombination term
Model Selection
Model type determined byPvModel enum value OneDiodeRecombinationNonLinear.
References
- King, D. L., Boyson, W. E., & Kratochvil, J. A. (2004). Photovoltaic array performance model. SAND2004-3535, Sandia National Laboratories.