Photovoltaic (PV) systems are one of the fastest-growing renewable energy technologies, yet real-world solar plants often deliver significantly less electricity than their theoretical potential. While laboratory photovoltaic efficiencies have steadily improved, field installations frequently operate under conditions where multiple environmental, electrical, and operational losses substantially reduce delivered energy. Conventional photovoltaic performance models typically treat these losses as independent derating factors. However, real energy transport in PV systems occurs sequentially through multiple stages, meaning that losses compound multiplicatively rather than additively. This study introduces a system-level loss-regulation framework that models real-world photovoltaic energy delivery using a multiplicative survival factor denoted as Ψ. The framework represents the combined effect of dominant loss mechanisms including dust accumulation, thermal derating, shading, electrical mismatch, maximum power point tracking (MPPT) inefficiency, inverter conversion losses, system availability, and wiring resistance. By expressing delivered energy as the product of theoretical irradiance-limited output and the loss-regulation factor Ψ, the model provides a unified representation of real-world performance degradation. Analytical modeling of representative field conditions shows that underperforming photovoltaic plants may operate with Ψ values near 0.25–0.35, meaning that only a small fraction of potential energy is delivered to the grid. When coordinated loss-suppression strategies are implemented—such as improved soiling control, thermal management, electrical optimization, inverter efficiency improvement, and operational reliability enhancement—the survival factor can increase to Ψ ≈ 0.70–0.80. Because energy delivery scales linearly with Ψ, this transition corresponds to a 2.5–3× increase in real-world electrical output under identical irradiance and land-use conditions. The proposed framework demonstrates that photovoltaic performance in many existing plants is fundamentally loss-limited rather than efficiency-limited. By reframing solar optimization as a problem of energy survival and system-level loss regulation, the study provides a structured methodology for diagnosing performance degradation and recovering lost energy. This approach enables substantial performance improvements in existing PV infrastructure without requiring new photovoltaic materials, additional land, or violation of thermodynamic limits.