Assessment And Energy Benchmarking For Two Archetype Sustainable Houses Through Comprehensive Long Term Monitoring
Bibliographic record
Abstract
A long term monitoring system has been developed and implemented in the Sustainable Archetype House built at Kortright Conservation Centre of Toronto and Region Conservation Authority (TRCA) in Vaughan, Ontario, Canada. To comprehensively monitor the energy performance and to investigate the effectiveness and efficiency of the mechanical systems over 300 sensors of various types were installed. These are sufficient for energy monitoring details in the twin houses. An expandable distributed data acquisition (DAQ) system has been adopted for monitoring and control purpose. Data analysis of House-B has been performed. Results of monitoring data of energy recovery ventilator (ERV), radiant in-floor heating system, total electrical energy consumption, photovoltaic (PV) system, micro combined heat and power (CHP) unit and evacuated tube solar collector are described in Chapter 5. The sensible and latent heat recovery of the ERV increased with the increase of indoor-outdoor temperature difference and specific humidity difference, respectively. Higher radiant in-floor heating demand is observed on the 3rd floor. One year of data of the 4.08 kWp photovoltaic (PV) system has been collected and annual electricity generation is 4160 kWh. The average thermal and electrical efficiency of Whispergen micro combined heat and power (CHP) unit achieved 80% and 7% respectively. The average overall efficiency achieved 87% (based on higher heating value of natural gas). The average instantaneous efficiency of evacuated tube solar collector achieved 74%.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 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".