Evaluating the Performance of Chiller 1 in Daphne Cockwell Complex (DCC) Building
Bibliographic record
Abstract
A significant amount of the energy consumed in large buildings is used to operate the chiller plant. This research investigated the performance of water-cooled chiller in a multipurpose building to pave the way for future chiller optimization research. The objective was to pinpoint key trends and relationships between the chiller operating conditions and energy performance. To reach this objective, the research was undertaken in three steps; 1) the existing chilled water system and its control was documented, 2) time series of operating data was collected and analyzed, 3) the chiller efficiency was calculated. The results showed that the chiller has reached its optimal performance at COP of 11.24 at the following set of conditions: PLR = 46%, cooling output between 801.27 and 814.69 kW, and chilled water supply temperature between 6.3-7.5°C. This research also highlighted energy-saving opportunities that can be implemented in the central cooling plant to enhance the performance of the chiller.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".