Least cost analysis for Canadian new housing : identifying the most cost-effective specifications to achieve improved energy efficiency standards
Bibliographic record
Abstract
This thesis presents the methodology developed to identify the most cost-effective specifications that could be applied to the currently practiced new housing constructions in Canada to achieve improved energy efficiency standards, while maintaining an adequate level of thermal comfort. The results showed that, based on the life cycle cost analysis of 30 years, the optimal solutions (or upgrades) comprised of improvement in the thermal resistance of the building envelope, and installation of the most efficient heating, ventilating, and air-conditioning systems, resulting in up to 31% reductions in the estimated annual energy consumption and the greenhouse gas emissions, while achieving an EnerGuide Rating of 8, thereby meeting the new requirements of the upcoming 2012 Ontario Building Code. With the installation of a residential photovoltaic system, the estimated profit of up to $89,035 could be achieved through Ontario's micro Feed-in-Tariff (FIT) program, allowing a homeowner to pay for the implementation of additional upgrade(s).
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".