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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".