Biogas power plants are widely deployed for renewable energy generation and organic waste utilization. However, real-world installations frequently operate far below their theoretical energy potential, with typical electrical efficiencies ranging between 18% and 28%. Traditional engineering approaches attribute this limitation primarily to engine efficiency, yet empirical observations show that modern engines already operate near their intrinsic conversion limits. This study introduces a survival-based loss-regulation framework that models biogas power generation as a sequential energy survival process. The framework is governed by a unified energy survival equation: Ψ = AE / (TE + ε) where AE represents absorbable chemical energy and TE represents total system dissipation. Electrical output is expressed as: Pel = AE · Ψ · Cint where Cint denotes the internal conversion competency of the engine-generator system. The model demonstrates that system-level energy survival, rather than component efficiency, determines real-world electrical output. A structured loss-regulation methodology is proposed to identify and regulate dominant loss channels, including methane variability, gas conditioning losses, combustion inefficiencies, and availability constraints. A pilot-scale numerical evaluation shows that coordinated survival improvement can increase electrical output from 350 kW to 548.5 kW without changing engine hardware, corresponding to a 56.7% gain in delivered power. These results suggest that many existing biogas plants are survival-limited rather than resource-limited. The proposed framework provides a unified diagnostic and optimization methodology applicable not only to biogas systems but also to solar photovoltaic plants, wind turbines, electrical grids, and other multi-stage energy systems.