Bibliographic record
Abstract
This book presents a method for hydrodynamic modelling of tidal power plants. In the face of climate change, tidal power plants will play an important role in the transition to renewable energy and in the decarbonisation of society. Tidal energy is not dependent on weather conditions and is fully predictable, allowing accurate forecasts for several years into the future. Its main drawback is that it is limited to areas with high tidal ranges, such as the Atlantic coasts of the UK, France and Canada, as well as other seacoasts around the world. The role of hydrodynamic models in the design of hydropower plants is primarily to understand the impact on the environment and to optimise the operation of the plant itself. The book is divided thematically into three sections. The first section provides a comprehensive overview of the background to tidal power and reviews the available literature. The second section contains a detailed description of the theoretical background and the numerical modelling methodology using the open source software Delft3D. The last section consists of two case studies on which the methodology was tested. They deal with the hydrodynamic impacts of two planned tidal power plants in the UK, namely a barrage in the Severn Estuary and an artificial lagoon in Swansea Bay.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.004 |
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".