Design Synthesis of a Wave Energy Converter
Bibliographic record
Abstract
A demonstration ocean wave energy project is planned for Hesquiaht Sound, British Columbia, Canada in 2010. This project is led by SyncWave Systems and involves the University of Victoria, Dynamic Systems Analysis Ltd. and Marinus Power. The design process for this demonstration wave energy converter (WEC) including site selection, linear dynamics, control system scheduling and non-linear dynamics modelling is presented. The WEC is a heaving point absorber that extracts energy through the relative motion between two axisymmetric bodies and utilizes an internally housed mechanical system with adjustable inertia characteristics for frequency response tuning. Site selection for the device was completed by using an established wave propagation model to translate off-shore sea conditions calculated from WAVEWATCHIII (WW3) into near-shore conditions. By analysis of the predicted near-shore conditions a suitable location with a frequently energetic sea state was chosen. The design process of the WEC consists of a linearized dynamics model to optimize the controller and a nonlinear dynamics model to analyze the mooring and hull components. The resulting unit effectively captures energy from the prevailing sea-states while ensuring adequate survival capability.
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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) | 0.000 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".