Performance investigation of ground source heat exchanger with desiccant-based hybrid cooling system in humid climate
Bibliographic record
Abstract
Abstract A desiccant-based hybrid cooling is among the most cost-effective air conditioning systems. The main purpose of this paper is the assessment of the potential of ground-assisted direct evaporative cooler together with a desiccant evaporative cooling cycle integrated with a ground source renewable energy for the pre-cooler process. Simulation results obtained using the TRNSYS software are compared with experimental data. The simulation of the mentioned systems are conducted in Bari (south of Italy), Palermo (south of Italy) and Ramsar (north of Iran) for the humid-mild climate of July. Assuming the low regeneration temperature (Treg) for the desiccant wheel is one of the highlights of this paper. Utilizing ground source heat exchanger (GSHE) will result in increase of the system potential in providing thermal comfort. The average thermal comfort achieves in Bari, Palermo and Ramsar in 95.72%, 93.94% and 93.15% of the time from 6 AM to 6 PM in July with utilizing the combination of GSHE and desiccant cooling system. The COP of this cycle is highly dependent on the Treg, and varies in the range of 0.35-0.53, 0.34-0.6 and 0.34-0.52 for the maximum Treg of 50 °C in Bari, Palermo and Ramsar, respectively.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| 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".