Predicting the Lifespan of Vacuum Insulation Panels in Buildings Using Hygrothermal Simulation
Bibliographic record
Abstract
To meet the demands for reducing building energy consumption, the insulation level of building envelopes is being increased, by increasing the thickness of building walls or through using better performing materials. Vacuum insulation panels (VIPs) have showed potential for use in buildings as they provide significant insulation levels in thin profiles. VIPs lose thermal performance over time as moisture and air permeate into the panel. A shortcoming of current research is how weather and construction impacts VIP lifespan. This thesis will focus on the use of weather data to model the conditions a VIP is subjected to in a wall, and a lifespan prediction based on these conditions. Including, the construction of a hygrothermal model to simulate the conditions in a wall over a 25-year period. For the Ottawa and Niagara climates, the predicted VIP lifespans were 22.6/19.0 and 23.6/19.6 years for the retrofit and new constructions, respectively.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 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".