Detailed profiling of high-rise building energy consumption in extremely hot and humid climate
Bibliographic record
Abstract
The extremely hot and humid nature of the Gulf Cooperation Council necessitates cooling. There is a dearth of literature that addresses the energy consumption profile of high-rise buildings in this climate, which is important for the fair distribution of costs among end users according to their usage. This study aims to address the literature gap by studying the cooling requirements of a representative tall residential building in an extremely hot and humid climate. Sensitivity analysis of 14 building characteristics against annual cooling load reveals that Window-to-Wall-Ratio (WWR) and orientation parameters sway anywhere between the most significant and the least significant attributes, respectively. From the analysis, a significant discrepancy in cooling consumption has been observed between the first and top floors, with an average of around 140% more. Furthermore, sensitivity analysis revealed that equipment power density is a dominating factor at the apartment level, while the floor number dominates in the whole building. A parametric analysis indicates that building rotation can increase or decrease energy consumption up to 4.0 kWh/m2/month or 5.6 kWh/m2/month, depending on the apartment's location. This study would facilitate especially the planning stage of the buildings in a whole district and operation-related decisions of the corresponding district cooling plant in the hot and humid climate.
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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".