CFD Based Design and Analysis of Building Mounted Wind Turbine with Diffuser Shaped Shroud
Bibliographic record
Abstract
The production of sustainable energy is one of the biggest challenges facing us today. Wind and solar technologies are the leaders for clean energies. Wind energy is in relatively plentiful supply, can be used efficiently and is a nonpolluting power production method. Within this paradigm, building-integrated micro wind turbines are promising low cost renewable energy devices, but are fraught with challenges like low wind speeds and high turbulence intensity. In this thesis, a comprehensive study of increased performance of a wind turbine design inside a diffuser shaped shroud on building roofs is conducted. A commercial Computational Fluid Dynamics (CFD) model is used to simulate unsteady 3D flows inside the diffuser and around the turbine. The meshing strategy and model used is verified using a grid refinement study. The geometric modifications and various non-dimensional parametric studies conducted are also described in detail, along with the relevant discussion of results obtained. Furthermore, the coefficient of power of the turbine is improved from 0.135 to 0.394, representing an improvement of almost 300%. This improvement can largely be attributed to the flanged diffuser shroud design, as well as the modifications made to the blades of the turbine.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".