Table 2 Comparison of solar power generation models.
From: Integration of wind flow effects in theoretical and experimental models for solar power generation
Aspect | Present study | Existing literature |
|---|---|---|
Model approach | Uses a differential model for solar power generation incorporating local wind flow and wind velocity | Traditional models mainly focus on solar irradiance without factoring in wind effects |
Regional FOCUS | Focus on Uganda with a detailed regional analysis (Northern, Eastern, Western, and Central regions) | Generalized models for broader regions, often lacking regional granularity |
Validation method | Experimental validation using SPV generators with RMSE analysis | Validation often relies on theoretical estimates or limited field data |
Prediction accuracy | Incorporates both solar irradiance and wind flow to enhance prediction accuracy | Primarily solar-based predictions, often overestimating or ignoring local variations |
Novel contributions | The introduction of wind flow velocity as a factor in solar power prediction for optimized deployment | Wind effects are rarely incorporated into solar energy prediction models |
Implementation strategy | Proposes deployment of solar power plants in regions with higher solar power distribution and wind-enhanced solar efficiency | Focuses mainly on sunlight availability without considering wind-enhanced energy generation |
Main contribution to literature | Provides a more accurate solar power generation model targeted for Uganda by factoring in wind flow | Existing models are more theoretical and not region-specific, often underestimating the impact of local wind effects |
