Comparative Analysis of Thermal Performance of Painted, Finned, and Plain Roofs in Arid and Temperate Climates: Insights from Kuwait City and Vancouver
Bibliographic record
Abstract
This paper presents a comparative analysis of the thermal performance of three common roofing types - painted, finned, and plain for buildings with customary materials without insulationin- two contrasting climatic contexts: Kuwait City and Vancouver. Experimental data were collected on hourly basis for the surface temperatures for 4 months in winter of Kuwait. Utilizing ASHRAE methods, we simulated the dynamic thermal behaviour of these roofing materials to assess their suitability for mitigating energy demands and enhancing indoor thermal comfort of a building with 127 m 2 rooftop surface area. Our findings reveal distinct thermal characteristics associated with each roofing type in the respective climates. In Kuwait City’s arid environment, the painted roof emerges as the optimal choice, demonstrating superior performance in reducing thermal loads during hot months while posing challenges related to increased heating demand in cooler seasons with 4.5°C reduction by painted roof. Conversely, in Vancouver’s temperate climate, the painted roof exhibits continuous outward conduction of heat, contributing to elevated heating demands throughout the year despite its effectiveness in maintaining lower temperatures compared to the indoor environment. This study highlights the importance of considering climatic factors and seasonal variations in selecting roofing materials to achieve optimal energy efficiency and indoor comfort. These findings can assist decision-making processes for architects, engineers, and policymakers aiming to enhance building performance and sustainability across diverse climatic regions.
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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".