Abstract:
he reliability and feasibility of electricity generation from sunlight have long been a
concern for researchers. Given the inherent unpredictability of weather conditions,
accurate performance forecasting is crucial for newly established photovoltaic (PV)
systems. In the present research desirability function is developed with a systematic
and comprehensive approach to assess and quantify the impact of influencing
conditions on the performance of a 1 MW On-grid PV system. The current research
analyzed the impact of different meteorological constraints such as wind speed,
ambient temperature, solar irradiance, and tilt angle characteristics of a solar
photovoltaic array. Response Surface Methodology (RSM), an optimization
technique, was used to maximize the amount of energy produced by PV power plants
while considering the meteorological constraints. The findings highlight that the
optimum condition for the central composite design chosen was at an ambient
temperature of 26.54℃, wind speed of 4.50 m/s, solar irradiance of 665.56 Wm-2, and
tilt angle of 32.37° to achieve a performance ratio, efficiency, and power output of
69.37%, 16.55% and 755.89 kW, respectively. The composite desirability of the
entire system was 0.6824 for the Central Composite Design. Implementing such a
system provides insights into solar energy potential, its environmental effects and
selection of PV technologies under different climatic conditions. The analysis
presented in current work enables better decision-making, optimization, and
communication of results in the context of multi-criteria performance evaluation of
On-grid PV systems.
