Performance Investigation of Direct Evaporative Cooling in Major Cities of Iraq
Bibliographic record
Abstract
The cities of Baghdad, Basrah, and Mousl are the major cities in the middle, southern and northern parts of Iraq, respectively. In this paper, TRNSYS model is investigated to study the performance of direct evaporative cooler (DEC) in these cities. Based on the hourly climate data of each month in Typical Meteorological Year (TMY), the period of 1st of June to 31th of August is used to estimate the performance of DEC in terms of evaporative supply temperature and cooling capacity. The simulation results show that the performance of DEC is capable of providing comfort conditions in Baghdad and Mosul by lowering supply air dry bulb temperature below the design condition (24ºC) up to 2ºC in June and July and 1.5ºC in August. In addition, the maximum cooling capacity of DEC is obtained in July about (3617, 3417 and 3160) kW for Baghdad, Mosul and Basrah, 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) | 0.001 | 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".