Reducing Energy Cost in an Industrial Chilled Water Plant
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT Various industrial and manufacturing facilities use chilled water in the manufacturing process. In chilled water systems, the following options present potential energy- and cost-saving opportunities: Installation of energy-efficient chillers, chiller bank optimization, chiller sequencing, variable-flow chilled and condenser water pumping, application of wet-side economizer, optimization of chilled water use, and reduction of chilled water mixing. The viability of these energy conservation measures as retrofit options in a chilled water plant depends upon variables such as system installed, chiller load profile, climate, economic factors, reliability issues, the process requirement, application engineering issues, and more. This article presents the techno-economic analyses of various energy conservation options applicable to the chilled-water installation in a Canadian plastic extrusion plant.
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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 | 0.001 | 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