Abstract

This work optimizes the conventional intuitive sizing method for standalone photovoltaic systems with energy storage, still widely used despite its limitations, particularly neglecting battery aging. It often leads to oversized storage and higher costs due to excessive autonomy days assumptions. This paper proposes an improved iterative approach based on hourly irradiance and consumption profiles while integrating a predictive battery aging model to enhance system reliability and economic feasibility. A global energy model, performance indicators, a battery aging model, and a MATLAB algorithm were developed. A simulation for a 4.5 kWh/day consumption in a peri-urban area of Ouagadougou, Burkina Faso, yielded an optimal configuration: a 1060 Wp Photovoltaic generator and a 100.60 Ah storage renewed every two years, covering 90% of demand at 0.20 EURO/kWh. This approach reduces the storage size by 35.92% and the Levelized Cost of Energy by 37.50% compared to the conventional method.