Thermal system-specific and net-zero carbon least-cost design of new houses in Canadian cold climates
Bibliographic record
Abstract
Whole-building model optimizations have been performed for a single-detached house in 5 locations with varying climates, electricity emissions factors, and energy costs. The multi-objective optimizations determine the life-cycle cost vs. operational greenhouse gas emissions Pareto front to discover the 30-year life-cycle least-cost building design heated 1) with natural gas, and 2) electrically using a) central air-source heat pump, b) ductless mini-split heat pump c)ground-source heat pump, and d) electric baseboard, accounting for both initial and operational energy-related costs. A net-zero carbon design with grid-tied photovoltaics is also optimized. Results indicate that heating system type influences the optimal enclosure design, and that neither building total energy use, nor space heating demand correspond to GHG emissions across heating system types. In each location, at least one type of all-electric design has a lower life-cycle cost than the optimized gas-heated model, and such designs can mitigate the majority of operational GHG emissions from new housing in locations with a low carbon intensity electricity supply.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".