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Solar Panel Efficiency Loss Calculator

Solar Panel Efficiency Loss Calculator estimates efficiency loss from temperature, dust, and aging, calculating adjusted power output for renewable energy analysis.

Formulas Used in Solar Panel Efficiency Loss Calculator

The calculator uses the following formulas for efficiency loss and power output:

Temperature Efficiency:

\\[ \eta_{\text{temp}} = \eta_{\text{nom}} \cdot \left[1 – \beta (T – T_{\text{nom}})\right] \\]

Dust Efficiency:

\\[ \eta_{\text{dust}} = \eta_{\text{temp}} \cdot (1 – L_{\text{dust}}) \\]

Final Efficiency:

\\[ \eta_{\text{final}} = \eta_{\text{dust}} \cdot (1 – L_{\text{age}} \cdot \text{Age}) \\]

Power Output:

\\[ P_{\text{out}} = P_{\text{nom}} \cdot \frac{\eta_{\text{final}}}{\eta_{\text{nom}}} \cdot \frac{G}{G_{\text{nom}}} \\]

Where:

  • \\( \eta_{\text{nom}} \\): Nominal efficiency (%)
  • \\( \beta \\): Temperature coefficient (%/°C)
  • \\( T \\): Operating temperature (°C)
  • \\( T_{\text{nom}} = 25^\circ\text{C} \\): Nominal temperature
  • \\( L_{\text{dust}} \\): Dust loss fraction (%)
  • \\( L_{\text{age}} \\): Annual degradation rate (%/year)
  • \\( \text{Age} \\): Panel age (years)
  • \\( P_{\text{nom}} \\): Nominal power output (W)
  • \\( G \\): Irradiance (W/m²)
  • \\( G_{\text{nom}} = 1000 \, \text{W/m}^2 \\): Nominal irradiance
  • \\( P_{\text{out}} \\): Adjusted power output (W)

Example Calculations

Example 1: Standard Case

Input: ηₙₒₘ = 20%, T = 40°C, β = 0.4%/°C, L_dust = 5%, L_age = 0.5%/year, Age = 5 years, Pₙₒₘ = 300 W, G = 1000 W/m²

\\[ \eta_{\text{temp}} = 20 \cdot \left[1 – 0.004 \cdot (40 – 25)\right] = 20 \cdot 0.94 = 18.8 \, \% \\] \\[ \eta_{\text{dust}} = 18.8 \cdot (1 – 0.05) = 17.86 \, \% \\] \\[ \eta_{\text{final}} = 17.86 \cdot (1 – 0.005 \cdot 5) = 17.4145 \, \% \\] \\[ P_{\text{out}} = 300 \cdot \frac{17.4145}{20} \cdot \frac{1000}{1000} \approx 261.218 \, \text{W} \\]

Result: η_final = 17.415%, P_out = 261.218 W, Temp Loss = 6%, Dust Loss = 5%, Age Loss = 2.5%

Example 2: High Temperature

Input: ηₙₒₘ = 20%, T = 60°C, β = 0.4%/°C, L_dust = 5%, L_age = 0.5%/year, Age = 5 years, Pₙₒₘ = 300 W, G = 1000 W/m²

\\[ \eta_{\text{temp}} = 20 \cdot \left[1 – 0.004 \cdot (60 – 25)\right] = 20 \cdot 0.86 = 17.2 \, \% \\] \\[ \eta_{\text{dust}} = 17.2 \cdot (1 – 0.05) = 16.34 \, \% \\] \\[ \eta_{\text{final}} = 16.34 \cdot (1 – 0.005 \cdot 5) = 15.9315 \, \% \\] \\[ P_{\text{out}} = 300 \cdot \frac{15.9315}{20} \cdot \frac{1000}{1000} \approx 238.973 \, \text{W} \\]

Result: η_final = 15.932%, P_out = 238.973 W, Temp Loss = 14%, Dust Loss = 5%, Age Loss = 2.5%

Example 3: Older Panel

Input: ηₙₒₘ = 20%, T = 40°C, β = 0.4%/°C, L_dust = 5%, L_age = 0.5%/year, Age = 10 years, Pₙₒₘ = 300 W, G = 1000 W/m²

\\[ \eta_{\text{temp}} = 20 \cdot \left[1 – 0.004 \cdot (40 – 25)\right] = 18.8 \, \% \\] \\[ \eta_{\text{dust}} = 18.8 \cdot (1 – 0.05) = 17.86 \, \% \\] \\[ \eta_{\text{final}} = 17.86 \cdot (1 – 0.005 \cdot 10) = 16.967 \, \% \\] \\[ P_{\text{out}} = 300 \cdot \frac{16.967}{20} \cdot \frac{1000}{1000} \approx 254.505 \, \text{W} \\]

Result: η_final = 16.967%, P_out = 254.505 W, Temp Loss = 6%, Dust Loss = 5%, Age Loss = 5%

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