Performance Evaluation and Energy Saving Potential of Windcatcher Natural Ventilation Systems in China
Bibliographic record
Abstract
Windcatcher as an architectural element is a passive cooling design to improve indoor thermal comfort without energy consumption. The performance and energy saving potential of using a windcatcher system in China are evaluated through EnergyPlus simulation of an oce building installed with commercial windcatchers. The simulation results for the climate condition in Beijing indicate that the peak indoor tem- perature can be reduced by more than 2 - C with the help of windcatchers, for approximately 50% of occupied hours it can meet the basic ventilation requirement and 28% of occupied hours can reach the purge demand. Moreover, 17% of cooling load can be reduced. The performance of windcatchers can be largely enhanced if they are used along with top-hung windows to create cross ventilation. Further investigations are carried out for various climate regions to evaluate the feasibility of windcatcher applications in China. It is found that according to the accumulative hours of meeting ventilation requirement, Harbin is the most suitable city for windcatcher applications and then Shanghai and Kunming. But, Kunming appears the best city in terms of percentage saving in cooling load, followed by Harbin and Urumqi. However, from the economic perspective, Beijing looks the most cost eective
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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".