Dipul’s Loss-Reclamation Priority Theory (LRPT): A constraint-aware optimization framework for energy systems

Title : Dipul’s Loss-Reclamation Priority Theory (LRPT): A constraint-aware optimization framework for energy systems

Abstract:

This presentation introduces Dipul’s Loss-Reclamation Priority Theory (LRPT), a systemslevel optimization framework for mobile and decentralized energy systems. Under realistic engineering constraints of mass, cost, volume, complexity, and reliability, LRPT asserts that prioritizing the reclamation and reuse of unavoidable energy losses (UEL) delivers greater net functional efficiency gains than increasing primary energy input. Unavoidable Energy Losses include resistive heating, friction, aerodynamic drag, thermal gradients, and standby power. Functional efficiency is defined as

 

η_f = Useful system service delivered / Total energy accessed

 

Using classical energy balance E_i = E_u + E_l and recovered useful energy E^∗_u = E_u + R · E_l , marginal analysis yields

 

∂E^∗_u /∂R = E_l , ∂E^∗_u /∂E_i = 1.

 

When E_l is large (typical in constrained systems), the marginal gain from recovery significantly exceeds that from input expansion. Under fixed constraints C, the inequality

 

(∂E^∗ _R /∂R)_c > (∂E^∗ _R /∂E_I)_c

 

holds, as increasing R often preserves feasibility while increasing E_i degrades it. Light exergy interpretation further supports the framework: 

 

X_useful = X_i − (X_d − X_r),

 

where boosting recoverable exergy X_r improves performance without adding new irreversibilities. Quantitative case studies across sectors confirm the theory:

Sector	Input Increase	Loss Recovery
Electric vehicles	10–20%	15–30%
ICE vehicles	0–5%	20–40%
Aircraft	∼0%	5–15%
Data centers	0–5%	15–40%

 

Table 1: Observed performance gains (LRPT-first vs generation-first).

Constraint-sensitivity curves show LRPT strategies maintain higher efficiency under mass/cost limits, with sublinear complexity growth and neutral/positive reliability impact. LRPT introduces no new physical laws; it is a prescriptive, falsifiable optimization doctrine suitable for early-stage design. The preprint (engrXiv/OSF, January 2026) demonstrates its generality and immediate applicability to sustainable energy innovation.

Keywords: Loss reclamation, energy efficiency, exergy, constrained optimization, applied thermodynamics

Biography:

Dipul Poudel is a multidisciplinary creative technologist and independent researcher from Nepal working at the intersection of information technology, digital media systems, and theoretical energy optimization. Founder of imdipul Records (2020–present), he has produced and globally distributed original creative work while publishing independent theoretical research. Active in Rotaract, Interact, and civic leadership, he brings practical systems-thinking to physics applications. He is currently preparing for undergraduate studies in Information Technology and aims to advance physics-informed innovation for real-world energy challenges.