Investigation of Evaporative Cooling Pad Material from Hyphaene Thebaica Fibers
Bibliographic record
Abstract
Evaporative coolers are technologies highly used as a source of thermal comfort in terms of fresh air provider in areas where weather conditions are harsh and people living standard goes from medium to low earnings. This technology being environmentally friendly still requires a certain minimum maintenance, mostly the change of pads. This paper presents the performance of a cost-effective cooling pad made from the fibers of hyphanene thebaica (wood wool) as an alternative pad to the commercial ones rendering this technology more accessible and affordable for all social classes. The experiment was done in an insulated duct whereby thermodynamic parameters of locally made pad such as temperature, pressure, relative humidity and velocity, were recorded, and effect of physical properties on performances were analyzed. Compared to the commercial pad, the proposed local pad presented the lowest minimum outlet dry bulb temperature (20.00oC), a saturation efficiency of 78.80% with the highest cooling capacity of 0.1867 kW, the highest heat transfer coefficient of 7.3497 kW/m2 oC, the best cost-to-efficiency ratio (CER) and coefficient of performance (COP). By studying and improving the pads thermophysical characteristics, performance could be improved opening ways towards industrial production of such pads for a sustainable development.
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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".