Shading and low irradiance hinder PV energy production; thus optimizing the design of photovoltaic systems is essential for increasing energy output while reducing losses from electrical mismatches. This thesis proposes a comprehensive simulation-based framework for optimizing panel architecture, rooftop placement tactics, and series grouping procedures, which makes use of irradiance data analysis and algorithmic decision-making. The study’s initial phase evaluates the shading resilience of PV modules under identical irradiance. The outcomes highlighted better performance of shingled and half-cell modules compared to conventional full-cell panels, using in-depth I/V characteristic analysis and long-term energy production models. Starting from these findings, the study presents a data-driven approach to improve panel installation on rooftops.