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Summary

Diffuse-Direct models separate global horizontal irradiance () into its direct normal irradiance () and diffuse horizontal irradiance () components. PlantPredict implements three decomposition models: Erbs, Reindl, and DIRINT. These models use empirically derived relationships based on the and atmospheric parameters to estimate the diffuse fraction of GHI under varying sky conditions.

Inputs


Outputs


Detailed Description

All models begin by computing the clearness index, representing the fraction of extraterrestrial irradiance reaching the ground: Kt=GHIDNIextracos(θz)K_t = \frac{GHI}{DNI_{extra} \cos(\theta_z)} where θz\theta_z is the solar . KtK_t is set to 0 if θz87.9°\theta_z \geq 87.9°. The clearness index characterizes sky conditions from overcast (Kt<0.3K_t < 0.3) to clear (Kt>0.7K_t > 0.7).

Erbs Model

The Erbs model uses only clearness index to compute diffuse fraction fdf_d using a piecewise polynomial function: Once fdf_d is determined, the DHI is calculated, then the DNI is obtained from the : DHI=fd×GHIDHI = f_d \times GHI DNI=GHIDHIcos(θz)DNI = \frac{GHI - DHI}{\cos(\theta_z)}

Reindl Model

The Reindl model extends the clearness index approach by incorporating solar zenith angle, air temperature, and relative humidity, accounting for sun position and atmospheric effects on scattering. When relative humidity is provided in the weather file (converted from % to a fraction from 0 to 1): When relative humidity is not provided in the weather file: Physical limits: The empirical correlations can produce non-physical values at edge cases. The following bounds from Reindl et al. (1990) are applied to clamp results: PlantPredict uses 0.83 as the upper clearness index threshold (modified from 0.78 in the original published model), based on a regression against measured irradiance data from the Cimarron Solar Facility in New Mexico. These “Reindl adjusted” variants are documented in Lave et al. (2014). Once fdf_d is determined, the DHI is calculated, then the DNI is obtained from the : DHI=fd×GHIDHI = f_d \times GHI DNI=GHIDHIcos(θz)DNI = \frac{GHI - DHI}{\cos(\theta_z)}

DIRINT Model

The DIRINT (Direct Insolation Radiation INTegration) model is an enhancement of the DISC model. It first computes an initial DNI estimate using DISC, then applies a correction factor based on temporal stability and atmospheric conditions. This allows DIRINT to distinguish between steady hazy conditions and variable cloudy conditions that have similar instantaneous clearness indices. DIRINT uses pressure-corrected AMAM' as an input, calculated internally using the Bird-Hulstrom formula (see Air Mass for details). Step 1: DISC Initial Estimate The DISC (Direct Insolation Simulation Code) model computes an initial DNI estimate using direct normal factors:
  • KncK_{nc} = Clear-sky transmittance: theoretical maximum under clear conditions, decreasing with air mass
  • ΔKn\Delta K_n = Transmittance reduction: correction for clouds, aerosols, and (derived from KtK_t)
  • KnK_n = Actual transmittance: net transmittance after atmospheric effects
The clear-sky transmittance is a polynomial function of air mass: Knc=0.8660.122AM+0.0121AM20.000653AM3+0.000014AM4K_{nc} = 0.866 - 0.122 AM' + 0.0121 AM'^2 - 0.000653 AM'^3 + 0.000014 AM'^4 The transmittance reduction uses coefficients AA, BB, CC that depend on KtK_t: ΔKn=A+BeC×AM\Delta K_n = A + B e^{C \times AM'} where each coefficient X{A,B,C}X \in \{A, B, C\} is computed as: X=c0+c1Kt+c2Kt2+c3Kt3X = c_0 + c_1 K_t + c_2 K_t^2 + c_3 K_t^3
For Kt>0.6K_t > 0.6:For Kt0.6K_t \leq 0.6:
The actual transmittance and DNI are then: Kn=KncΔKnK_n = K_{nc} - \Delta K_n DNIDISC=Kn×DNIextraDNI_{DISC} = K_n \times DNI_{extra} DNIDISC=0DNI_{DISC} = 0 if any of the following conditions are met:
  • GHI<1GHI < 1 W/m²
  • DNIDISC<0DNI_{DISC} < 0
  • θz>87°\theta_z > 87° (Version 09 and earlier) or θz>90°\theta_z > 90° (Version 10 and later)
Step 2: DIRINT Correction Coefficient Lookup DIRINT improves upon DISC by using four parameters to look up a correction coefficient CDIRINTC_{DIRINT}: modified clearness index (KtK'_t), temporal stability (ΔKt\Delta K'_t), zenith angle (θz\theta_z), and precipitable water (WW, not used by PlantPredict). The modified clearness index normalizes for air mass effects, isolating the influence of clouds and excess atmospheric turbidity: Kt=Kt1.031exp(1.40.9+9.4/AM)+0.1K'_t = \frac{K_t}{1.031 \exp\left(-\frac{1.4}{0.9 + 9.4/AM'}\right) + 0.1} with constraint Kt0.82K'_t \leq 0.82. Temporal stability captures cloud transients by comparing clearness across adjacent timestamps: ΔKt=0.5(KtKt,next+KtKt,prev)\Delta K'_t = 0.5 \left( |K'_t - K'_{t,next}| + |K'_t - K'_{t,prev}| \right) A four-dimensional lookup table retrieves the DIRINT correction coefficient CDIRINTC_{DIRINT} based on binned values of these four parameters. PlantPredict does not use precipitable water as an input for the model and defaults to the “precipitable water unavailable” bin. Step 3: Final DNI and DHI Calculation The final DNI is the DISC estimate scaled by the DIRINT correction coefficient: DNI=DNIDISC×CDIRINTDNI = DNI_{DISC} \times C_{DIRINT} DHI is then derived using the : DHI=GHIDNIcos(θz)DHI = GHI - DNI \cos(\theta_z)

Physical Constraints

All decomposition models apply the following physical constraints:
  • If GHI0GHI \leq 0, then DHI=0DHI = 0 and DNI=0DNI = 0
  • DHIGHIDHI \leq GHI
  • DNI0DNI \geq 0
  • If θz90°\theta_z \geq 90°, then DNI=0DNI = 0

References

  • Erbs, D. G., Klein, S. A., & Duffie, J. A. (1982). Estimation of the diffuse radiation fraction for hourly, daily and monthly-average global radiation. Solar Energy, 28(4), 293–302. DOI: 10.1016/0038-092X(82)90302-4
  • Reindl, D. T., Beckman, W. A., & Duffie, J. A. (1990). Diffuse fraction correlations. Solar Energy, 45(1), 1–7. DOI: 10.1016/0038-092X(90)90060-P
  • Perez, R., Ineichen, P., Maxwell, E., Seals, R., & Zelenka, A. (1992). Dynamic global-to-direct irradiance conversion models. ASHRAE Transactions, 98(1), 354–369.
  • Maxwell, E. L. (1987). A quasi-physical model for converting hourly global horizontal to direct normal insolation. Technical Report SERI/TR-215-3087, Solar Energy Research Institute. DOI: 10.2172/5987868
  • Lave, M., Hayes, W., Pohl, A., & Hansen, C. W. (2014). Evaluation of global horizontal irradiance to plane-of-array irradiance models at locations across the United States. IEEE 40th Photovoltaic Specialist Conference (PVSC). DOI: 10.1109/PVSC.2014.6925216