UTILIZATION OF THERMAL MASS IN THE TORONTO NET ZERO ENERGY HOUSE FOR THERMAL COMFORT AND ENERGY SAVINGS
Bibliographic record
Abstract
A detailed model of the Net Zero Energy Town House in Toronto is developed in TRNSYS. The incorporation of thermal mass into the building envelope has been demonstrated to contribute to the enhancement of occupant comfort through the reduction of indoor temperature fluctuations. It has also been shown to cause a decrease in the overall energy consumption associated with the heating and cooling of buildings. The incorporation of a variety of thermal mass such as a concrete slabs and phase change materials (PCM) into the building envelope is modelled. The impact of using the thermal mass on the indoor temperature and the overall heating/cooling loads is analyzed. Simulations are conducted for the summer and winter months to determine the potential reductions in the peak temperatures and daily temperature fluctuations. Hourly temperature profiles are analyzed to estimate the total number of hours that the indoor temperature falls or rises above the set point. The effectiveness of using phase change materials is contrasted with the use of thermal mass such as a concrete slab.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".