Dimensional Admissibility and Measurement Integrity as National Standards for Model-Driven Energy and Infrastructure Systems
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| Format: | Recurso digital |
| Langue: | anglais |
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2026
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| _version_ | 1866901723533017088 |
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| author | Bourassa, James Donald |
| author_facet | Bourassa, James Donald |
| contents | <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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18112158 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Dimensional Admissibility and Measurement Integrity as National Standards for Model-Driven Energy and Infrastructure Systems Bourassa, James Donald Dimensional admissibility measurement integrity model governance infrastructure optimization energy systems AC optimal power flow unit invariance representation invariance model verification audit frameworks NIST standards DOE grid modernization procurement standards digital twins decision robustness <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> |
| title | Dimensional Admissibility and Measurement Integrity as National Standards for Model-Driven Energy and Infrastructure Systems |
| topic | Dimensional admissibility measurement integrity model governance infrastructure optimization energy systems AC optimal power flow unit invariance representation invariance model verification audit frameworks NIST standards DOE grid modernization procurement standards digital twins decision robustness |
| url | https://doi.org/10.5281/zenodo.18112158 |