Improvement in Energy Performance of a HVAC System Working with Nanofluid
Bibliographic record
Abstract
In the present work, a HVAC system in a residential building, operating with water firstly, followed by a nanofluid named Maxwell, has been experimentally monitored to evaluate the improvement in energy performance.Particularly, a robust measurement and verification equipment has been installed on the chillers and the pumps firstly, next a baseline data for a 30-day period has been acquired, by operating the HVAC system with water, then the same data have been measured for a 30-day nanofluid operating period, and finally the baseline data were compared to the nanofluid data.All collected data have been normalized according to the ambient temperature conditions, since this parameter plays a significant role in chiller performance and energy consumption.Furthermore, in order to ensure an objective, transparent and conservative evaluation of energy-conservation measures, the International Performance Measurement and Verification Protocol (IPMVP) was applied.The present experimental demonstration has evaluated chiller energy consumption and pump energy consumption as well as coefficient of performance (COP) resulting in a mean decrease in chiller energy use of about 16.85%.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".