Thermal Evaluation of Vacuum Insulation Panels Within Residential Building Envelopes
Bibliographic record
Abstract
In Canada, heating and cooling in buildings accounts for 16.5% of the total secondary end energy use in the residential sector Improvements in the building enclosure and overall thermal resistance can reduce the energy required to maintain the interior conditions through additional insulation or high performance insulations. The thesis analyzes the effects of vacuum insulation panels (VIPs) installed within a residential building envelope. The VIPs were evaluated using a guarded hot-box operating at steady-state conditions. Several paneling and tiling techniques were performed and evaluated in the guarded hot-box to quantify the change in performance between the panel center and edges. Infrared thermal images were captured to validate the temperature gradients expected at the edge of VIPs. The edge and center thermal performance of the VIP was experimentally evaluated, and showed a 36% decay in performance at the edge, when compared to the center, indicating that the material acts non-homogenous within the building envelope. An assembled composite panel of extruded polystyrene (XPS) and VIPs was examined as a method to address the fragility concerns of VIPs, while improving the thermal resistance of the building envelope. In total, five different walls designs were evaluated by the varying VIP sizes and fastening strips thicknesses. THERM two-dimensional heat transfer software was used to create a single representative cross-section of the various composite wall assemblies by using two fictitious stud sizes and the material's wall area coverage. The modelling method was compared to experimental results and conventional modelling methods to determine the new model's effectiveness. The results indicate that the VIP-XPS panels offer improved performance compared to conventional insulation systems and minimize the risk of puncture. They also show that a single profile simulation can provide reliable results of a wall assembly containing multiple nonhomogenous layers.
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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) | 0.000 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".