National Energy Code of Canada for Buildings: 2020
Bibliographic record
Abstract
The National Energy Code of Canada for Buildings (NECB) 2020, developed by the Canadian Commission on Building and Fire Codes with the support of Natural Resources Canada, and published by the National Research Council of Canada, sets out technical requirements for the energy-efficient design and construction of new buildings and additions. Several technical changes have been incorporated in this new edition, improving the level of energy efficiency provided by the Code and expanding compliance options. Significant changes in the NECB 2020 • The application of the Code is extended to cover alterations, such as tenant improvements, to buildings originally constructed in accordance with the NECB. • Maximum overall thermal transmittance values for opaque building assemblies and fenestration are reduced to improve the thermal performance of the building envelope. • Whole-building airtightness testing is introduced as an option for complying with air leakage requirements. • Lighting power densities are updated to reflect improvements in the efficacy of lighting products. • Performance requirements for heating, ventilating and air-conditioning (HVAC) and service water heating equipment are updated to align them with relevant standards and regulations. • The trade-off compliance paths for HVAC and service water systems, which were complex and not widely used, are removed. • A new compliance path with 4 energy performance tiers is introduced to provide a framework for achieving higher levels of energy efficiency in buildings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.044 | 0.031 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".