Quantifying The Effects Of Zoned Cooling Systems On Household Peak Electricity Demand
Bibliographic record
Abstract
In this study, the potential benefits of a zoned cooling system during peak summer days are examined through the use of a building energy simulation model. The model presents a means for evaluating various cooling control strategies to quantify the effects of a zoned system on the reduction and shifting of household peak electricity demand. The development and theoretical basis of the model are summarized. Simulations were carried out on a model representative of the (CCHT) Canadian Centre for Housing Technology houses. Results for selected control strategies are presented for a hot, humid and sunny peak summer day in Southern Ontario. The simulation results suggest that a gradual thermostat set-point increase during the peak cooling period may be ineffective if the system is undersized for peak summer conditions. The use of external shades was shown to significantly reduce the sensible cooling load allowing an otherwise undersized system to fully meet the cooling demand. Such a passive measure would likely increase the effectiveness of the zoned cooling control strategies examined.
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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 | 0.002 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".