Field investigation of moisture buffering potential of gypsum board in a residential setting under varying operating conditions in a marine climate
Bibliographic record
Abstract
Indoor relative humidity is of critical importance to maintain at acceptable and stable levels for building occupants’ health and comfort, energy efficiency, and building envelope durability. The main factors that determine the indoor relative humidity levels in a building are ventilation rate and scheme, moisture sources and sinks, and moisture buffering effect of materials. As buildings enclosures are retrofitted for improvements in water shedding and energy performance, they are becoming more airtight. Such a retrofit measure without addressing increased ventilation needs will lead to significant building envelope and indoor air quality problems. In this thesis, this point is highlighted in a reference residential building, occupied by low-income, high occupancy residents. This research aims to determine the effect of moisture buffering of unfinished gypsum board as a passive means to regulate indoor humidity in a field experiment setting. Two identical test buildings exposed to real climatic loads are used to evaluate the moisture buffering effect of gypsum board for different simulated occupant densities and ventilation strategies. The effect of passive and active indoor moisture management measures are compared between 8 test cases. Implications on indoor air quality and ventilation heat loss are also discussed. The results show that moisture buffering is an effective means of passively regulating indoor relative humidity levels in Vancouver’s marine climate, when coupled with adequate ventilation as recommended by ASHRAE, even under high moisture loading. When working in tandem with adequate ventilation, moisture buffering helps to regulate changes in relative humidity levels by reducing humidity peaks. This in effect decreases dew point temperatures, and the likelihood of condensation and microbial growth. 4 ventilation schemes are provided as active measures to manage indoor moisture coupled with moisture buffering in the field experiment. The results show competing benefits when it comes to managing indoor air quality, indoor humidity, and minimizing ventilation heat loss. Time-controlled ventilation is effective at maintaining relative humidity at acceptable levels for thermal comfort. Time-controlled ventilation also provides considerable savings in ventilation heat losses of 20% in comparison to constant ventilation. However, CO2 levels are exceeded beyond what is acceptable for good indoor air quality for 50% of the monitoring period. Conversely, demand-controlled ventilation schemes produce favourable indoor air quality based on CO2 levels, while compromising indoor humidity levels.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".