Performance Assessment of a CO <sub>2</sub> -Based Demand-Controlled Frost Resilient Dual-Core Energy Recovery Ventilation System for Northern Housing
Why this work is in the frame
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Bibliographic record
Abstract
To better address indoor air quality (IAQ) and mold issues in northern housing experiencing varying occupancies and indoor conditions, ventilation needs to become demand-controlled. Currently, heat/energy recovery ventilators (HRVs/ERVs) are commonly installed in northern communities and they offer constant or globally controlled airflows. Overcrowded homes are then under-ventilated, leading to higher indoor pollutants and moisture that need to be controlled. This study examines a method for providing adequate ventilation through control of ventilation based on occupancy and modulation of ventilation fans. This paper presents results from a side-by-side testing of a CO2-based demand-controlled dual-core ERV versus conventional single-core ERV with constant flow using twin houses with simulated occupancies. The implemented strategy based on a CO2 sensor network connected with a dual-core ERV continuously exhausting stale air from the kitchen and bathrooms was simple and efficient in adjusting ventilation rate based on occupancy rate. The potential of the CO2-based demand-controlled dual-core ERV system was evaluated based on its capability to control indoor CO2 levels, percentage of time kept below 1,000 ppm, and power consumption.
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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 | 0.001 | 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