Impact of macro-turbulent structures from mooring anchors and rough riverbeds on the performance of a horizontal axis hydrokinetic turbine
Bibliographic record
Abstract
Reported are laboratory and field measurements obtained to characterize the flow structures caused by mooring anchors and rough river beds on the performance of hydrokinetic turbines. Series of flow velocity profile in-situ measurements characterize the energetic flow at the Canadian Hydrokinetic Turbine Test Centre (CHTTC) located on the Winnipeg River. Using an acoustic Doppler velocimeter, a novel method was applied to obtain the flow velocity through the water column to contribute to the design and optimization of power production from a hydrokinetic turbine. The acoustic Doppler velocimeter measures the mean and fluctuating velocity components at a frequency of 64 Hz. Tests were performed between 2.1 and 2.7 m/s upstream and downstream of turbine mooring anchors. Anchors occupy 12% of the water column height. Near-surface measurements show a 9.9% increase in turbulence intensity and 8.8% increase in free-stream velocity due to the upstream turbine mooring structures while the profile measurements show a temporal variation in the velocity and turbulence intensity profiles. In a more detailed laboratory investigation, four different scaled geometries of turbine mooring anchors were designed, fabricated and tested, including a 19.8 cm diameter horizontal axis turbine in a water tunnel. Tests are first performed at a steady velocity of 1.1 m/s and at an unobstructed Reynolds number of 217000 based on rotor diameter. During this testing, velocity measurements were taken at different locations upstream of a scaled horizontal turbine to determine the optimum operating conditions in a steady free-stream velocity. Furthermore, 25 surface roughness and four mooring anchor geometries were tested and located 2 and 3 rotor diameter upstream of the turbine in the water tunnel. Results show a 14% to 36% increase in turbine performance due to the impact of mooring anchor geometries and surface roughness. These results are useful in choosing a turbine mooring anchor design, geometry, and location to enhance turbine performance and obtain an understanding of a rough riverbed at the energetic river site.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".