Performance of a Darrieus turbine on the roof of a building
Bibliographic record
Abstract
Various efforts have been made to introduce micro wind turbines in urban areas. Their onsite wind generation can be beneficial, but general rules about their ideal placement in terms of energy extraction need to be identified. This paper investigates the performance of a Darrieus turbine when installed on the roof of a building and offers a rare analysis of the synergy between the turbine and the building. This study focuses on computational fluid dynamic (CFD) analysis of a vertical-axis wind turbine mounted on the upstream edge of a building. The CFD methodology is validated by comparing the calculated performance with experimental data. Three different turbine positions at different heights are investigated to capture the Cp–λ curve sensitivity. Positions 1 and 2 are at the edge of the building, whereas position 3 is a few meters away from the edge, directed towards the geometric center of the building. To simulate realistic atmospheric wind conditions, an atmospheric boundary layer is imposed at the inlet. The results show that the power coefficient is higher compared with a standalone turbine and that the location of the turbine on the building clearly affects the value of the tip-speed ratio at maximum power coefficient.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".