Energy efficiency and thermal comfort of buildings in arid climates employing insulating material produced from date palm waste matter
Bibliographic record
Abstract
This study investigates the suitability of using waste material from date palm trees in thermal insulation for buildings in arid climates. Thermal conductivity was experimentally determined from a few samples of bricks containing recycled date palm fiber (DPF) and date palm spikelet (DPS). Among the samples investigated, the one containing 1.36% DPS in weight demonstrated the best characteristics for insulation purposes yielding a thermal conductivity of 0.106 W/m.K. Theoretical and experimental investigations were carried out on walls and roofs built using DPS and DPF material to see what impact it would have on energy efficiency and thermal comfort. The electricity consumption for cooling decreased by up to 64.7% and 41.2%, during the summer months, for DPS and DPF, respectively, compared to buildings erected with sand and clay. It was also concluded that the greatest amount of thermal energy entering the rooms takes place through the roofs. Four roof-materials were tested, namely: Polystyrene, Air gap, DPF, and DPP on three different days. As a thermal insulator, DPF demonstrated the best thermal comfort conditions; polyester yielded poorer thermal comfort conditions and DPP delivered rather weak results.
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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".