Assessing the Impact of Reflective Building Envelopes on School Indoor Thermal Autonomy and Energy Efficiency in Montreal: Historical and Future Climate Perspectives
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
This study investigates the impact of high-performance polyvinylidene fluoride-co-hexafluoropropylene (P(VDF-HFP)HP), a reflective material, on the energy performance and Indoor Thermal Autonomy (ITA) of a primary school building in Montreal under historical and future climate scenarios. Energy simulations, conducted using Rhino-Grasshopper, analyze heating and cooling demands for an ANSI/ASHRAE/IES Standard 90.1 school prototype designed according to the 8th edition of the National Building Code of Canada (NBC), reflecting construction practices the 1980’s. The results reveal that reflective materials slightly increase heating demand due to reduced passive solar heat gains during winter but significantly lower cooling demand by minimizing solar heat absorption. In a heating-dominated climate like Montreal, this trade-off leads to a net reduction in total energy use under future climate scenarios. As the warming climate lessens heating requirements, the substantial decrease in cooling demand contributes to overall energy savings. Reflective materials thus prove particularly advantageous in warmer future climates, where the cooling energy savings outweigh the heating penalty, improving overall building energy performance. In addition, reflective materials enhance ITA, albeit marginally, with a maximum increase of 3%, improving indoor comfort under both historical and future climate conditions. These findings highlight the potential of passive building envelope enhancements to contribute to energy efficiency and climate resilience. By promoting sustainable solutions, reflective materials align with the United Nations Sustainable Development Goal 13 (Climate Action).
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 | 0.000 | 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 it