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| Autor principal: | |
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
| Publicado: |
Zenodo
2026
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| Materias: | |
| Acceso en línea: | https://doi.org/10.5281/zenodo.18112158 |
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- <p>This report proposes <strong>dimensional admissibility and measurement integrity</strong> as general, framework-independent national standards for model-driven energy and infrastructure systems.</p> <p>The work originated in the Quantized Dimensional Ledger (QDL) research program, where strict dimensional bookkeeping repeatedly exposed decision-level inconsistencies in otherwise well-posed models—cases in which physically equivalent representations produced different optimization, planning, or operational outcomes. By separating this observation from QDL’s broader physical claims, the present report extracts a <strong>general, falsifiable principle of dimensional admissibility</strong> and translates it into a <strong>standards-ready audit framework</strong>.</p> <p>The proposed framework functions as a <strong>pre-verification structural audit layer</strong>, complementary to existing verification, validation, uncertainty quantification (V&V/UQ), and probabilistic risk assessment (PRA) practices. It is solver-agnostic, domain-independent, and suitable for integration into standards development, procurement requirements, and institutional model-governance workflows.</p> <p>The report includes:<br>(i) a parameterized national savings model with conservative, traceable anchors (EIA, CBO);<br>(ii) a worked AC optimal power flow (AC-OPF) example demonstrating decision sensitivity under representation changes;<br>(iii) a standards-first adoption pathway aligned with NIST and DOE practice; and<br>(iv) operational annexes including pilot design, reporting schemas, procurement-ready model cards, and waiver documentation.</p> <p><strong>No assumptions from the Quantized Dimensional Ledger are required for use of the proposed standards.</strong> The framework is intended for application across energy systems, infrastructure optimization, and measurement pipelines, with immediate relevance to national modeling integrity and cost-avoidance efforts.</p>