This study investigates the shadow effects in large-scale solar collector fields, focusing on the reduction of solar energy due to self-shading between rows and the impact of collector orientation and spacing. Multiple analytical models were developed to quantify shadow height, length, and area throughout the day and year. Shading from vertical and inclined collectors was evaluated using both geometrical and vectorial approaches. A core outcome is the derivation of monthly-averaged daily shading factors for various tilt angles, facilitating energy output predictions in partially shaded configurations. Though the study excluded optimization and albedo effects in most cases, it introduced concepts such as “shadow efficiency” and evaluated different tracking orientations. Shading impacts on bifacial panels and electrical configurations were also assessed, highlighting energy losses. The work culminates in a methodology for calculating optimal spacing and system size in urban environments. While the models are comprehensive, limitations include a lack of terrain analysis, system cost modeling, and full energy optimization. This work contributes significantly to understanding and mitigating shading losses in solar field design, offering foundational insights for future optimization and real-world implementation.