Technoeconomic Assessment of the Impact of Window Improvements on the Heating and Cooling Energy Requirement and Greenhouse Gas Emissions of the Canadian Housing Stock
Why this work is in the frame
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Bibliographic record
Abstract
This study evaluates the economic feasibility as well as the effect of window modifications on the heating and cooling energy requirement of the Canadian housing stock based on detailed energy simulations conducted using the Canadian hybrid residential end-use energy model (CHREM) and green house gas emissions model (GEM). It is found that thermally improved windows can substantially reduce the energy consumption and greenhouse gas emissions from the Canadian residential sector. The magnitude of energy consumption and greenhouse gas (GHG) reductions depend largely on the size of the housing stock, existing window type characteristics, climate, and fuel mix used. Thus, there are variations from province to province. Similarly, economic feasibility depends on the magnitude of savings available as well as the price of energy in each province.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it