The adoption of green roofs for the retrofitting of existing buildings in the Mediterranean climate
Bibliographic record
Abstract
In recent years, the demand for air conditioning systems has increased considerably. Consequentially, the energy demand for building cooling has become a serious concern. In particular, the energy peak demand that is intensified by the urban heat island (UHI) effect is often a critical issue for the outdated electricity infrastructure in many countries. In order to rationalize the building energy consumption while ensuring indoor thermal comfort, this paper explores the possibilities offered by the retrofitting of existing uninsulated roofs in combination with night natural cooling strategies. To this end, a case study was selected in order to investigate the performance of an extensive green roof (GR) with and without natural ventilation (NV). The selected building is located in Catania, southern Italy, in a very mild climate. Free-running conditions were evaluated together with air conditioning conditions during the daytime and free cooling via natural ventilation at night. The hourly variation of cooling loads during a typical hot day and the overall performance of the different investigated scenarios were compared. Finally, suggestions about the value of the different investigated building retrofitting strategies are reported.
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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 | 0.001 | 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 | 0.001 | 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".