Performance analysis of the MICRO-V (Multifunctional, Integrated, Climate-responsive, Opaque, and Ventilated) façade with different ventilation modes
Bibliographic record
Abstract
Abstract Climate-responsive facades (CRFs) are a potential solution to respond to transient energy exchanges in buildings to control and enhance the indoor environmental quality (IEQ). In addition to space heating and cooling, adequate ventilation within a thermally comfortable range is critical in new and retrofit constructions, particularly as current high-performance facades maximize airtightness. In this study, an opaque multifunctional CRF (MICRO-V) was investigated to regulate the flow of heat and air into buildings with daily and seasonal responses. This façade is made of phase change materials (PCMs), an adjustable insulation system, and an embedded ventilation unit to provide conditioned fresh air. The effect of different ventilation modes (balanced, only-exhaust, only-supply) on the overall thermal performance of the façade was studied. A CFD simulation study in the context of Toronto, Canada, in the cooling season was performed. The study showed a correlation between increased airspeed and overall heat recovery in the façade, with an average of 75-80% heat recovery between the indoor exhaust air and fresh supply air. The results showed how the façade’s operational modes could be adjusted based on the outdoor climate conditions. MICRO-V is a decentralized façade system with simultaneous air supply and exhaust, the findings showed the interconnected behaviour of the components in the façade and how it can provide conditioned fresh air.
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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 | 0.000 | 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".