Energy use analysis and simulation of MUN CSF Building using BEopt
Bibliographic record
Abstract
This paper presents yearly energy use data of MUN Core Science Facility (CSF) building. The data shows that 12,876,967 kWhr of electricity and 38,432,359 kBTU of heat energy was used by the CSF building in 2022. Thermal model of CSF building is developed in Building Energy Optimization Tool (BEopt) using the collected building envelope parameters. Envelope parameters include R values of walls, windows, roofs, floors, and HVAC parameters such as total heating/cooling capacity, fan power, and outside air minimum ventilation. A comparison between actual energy consumption and consumption predicted by BEOpt is also included. The Simulink thermal model of CSF building is also developed to demonstrate that the building indoor temperature can follow varying set point temperature. Results show that the heat energy calculated by our BEopt model is 35,824,572 kBTU, which is only 6.8% less than the real CSF building heat energy use.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".