Dipul’s Loss-Reclamation Priority Theory (LRPT)

A Constraint-Aware Optimization Framework for Energy Systems

Abstract

This paper introduces Dipul’s Loss-Reclamation Priority Theory (LRPT), a systems-level optimization framework for mobile and decentralized energy systems. The theory asserts that, under realistic constraints of mass, cost, volume, complexity, and reliability, prioritizing the reclamation and reuse of unavoidable energy losses yields greater net functional efficiency gains than increasing primary energy input. Using classical energy balance, constraint-aware marginal analysis, and light exergy reasoning, the paper establishes a formal inequality supporting this priority ordering. Quantitative comparisons across transportation, aerospace, and digital infrastructure systems demonstrate the generality of the theory. LRPT introduces no new physical laws; instead, it offers a prescriptive optimization doctrine that is original in formulation, falsifiable, and suitable for integration into early-stage engineering design.