Developing a calibrated in-situ hygrothermal model of a community center to assess panelized exterior retrofit design suitability.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Over 70% of buildings in Canada were constructed prior to the implementation of the Ontario Building Code of 1975, the first code in Canada to include energy requirements. Many of these buildings are reaching the end of their useful life and require building envelope repairs where the alternative is to demolish and rebuild, which is less sustainable. Performing a retrofit on the building envelope can improve the buildings air tightness and thermal resistance. While these improvements increase the energy efficiency of the building, it also creates potential for the building envelope to accumulate moisture if the design is not carefully selected.This paper describes the development of a calibrated hygrothermal model utilizing in-situ data. The model can then be used to assess the performance and suitability of two different retrofit panel designs for a community centre, which has a corrugated steel siding envelope, located in Ile Bizard, an island in Montreal, Quebec, Canada. In-situ data from two, 3 m by 3 m test walls, with sensors installed throughout, is utilized to calibrate the hygrothermal WUFI model leveraging differential evolution methods. To minimize the residual error between the measured and simulated data, an objective function utilizing the Huber loss function was generated for the relative humidity in the layers of each wall assembly. The calibration process adjusts the air exchange rates, locations, and direction within the assembly. This calibration process was shown to improve agreement for relative humidity with the measured data by 30% when compared to the average simulation results from five different engineers. The calibration process was successful and through the calibrated models it was determined neither retrofit panel poses a mould risk.
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.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 it