Climate Zone-Based Energy Retrofits in Canada For Current and Future Climate Change Scenarios
Bibliographic record
Abstract
The research objective was to investigate mitigation measures for reduction of energy use, emissions, and costs, for a residential house in current and future climates in Vancouver and Toronto, representing climate zones 4 and 5, respectively. The mitigation strategies investigated were: increasing vegetation, increasing thermal resistance, decreasing infiltration/exfiltration, adding a cool roof, and adding photovoltaic panels. Energy consumption simulations were conducted using the Vertical City Weather Generator (VCWG) software. Future climate data was obtained form CanRCM4 files under Representative Concentration Pathway (RCP) 4.5 and 8.5 [W m^{-2}] . The largest cost and CO_2e savings in Vancouver and Toronto came from the reduction in infiltration/exfiltration. The economic analysis showed that cost savings for mitigation efforts are dependent on individual costs in each city. Electricity prices in Vancouver were cheap, which made the use of PV systems too expensive. However, in Toronto the high price of electricity made PV systems cost effective.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".