Admissibility-First Energy Measurement: Closure, Integrity, and Refusal-Coded Claims for Auditable Energy-System Results

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Authors: Kelly Rhys
Cited by: 0

Abstract

EA-1 (Admissibility-First Energy Measurement) is a measurement-governance instrument and reporting standard for energy-system claims (energy, power, efficiency/COP, heat rate, and related performance statements). It introduces an admissibility-first workflow: before interpreting results, EA-1 requires the claimant to declare a complete ClaimTuple (boundary, channels, window, thresholds, pipeline, uncertainty floor, and disclosures), then evaluates the submission through deterministic checks that prioritize closure, identifiability, and integrity. EA-1 outputs a replayable, auditable decision artifact rather than a narrative conclusion: a VerdictObject with one of three outcomes—PASS, REFUSE, or DOWNSCOPE—plus a ReceiptManifest and content-addressed hashes that make the result independently reconstructible. The standard distinguishes run-admissible execution (a valid evaluation occurred, including refusals) from publishable reporting (a citable outcome exists), and enforces conservative failure modes (e.g., insufficient data, not identifiable, integrity compromised, provenance failure). EA-1 also specifies permitted/prohibited output language to prevent overstated claims (e.g., “validated,” “debunked,” or mechanism assertions beyond the declared model family) and defines a required citation block that binds any public claim to verifiable run hashes, boundary/window declarations, and refusal or downscope operators. In short: EA-1 turns contested energy-performance claims into hash-bound, refusal-coded, audit-ready objects that can be reproduced, verified, and cited without relying on trust or informal interpretation. Suggested keywords: energy measurement, measurement & verification (M&V), metrology governance, reproducibility, audit trail, admissibility, boundary conditions, canonicalization, content-addressed receipts, refusal semantics, downscoping.

Fields of Study & Subjects

Scientific Measurement and Uncertainty Evaluation Scientific Computing and Data Management Building Energy and Comfort Optimization

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 February 2026
Language
EN