Modelling of a Wave Energy Converter Impact on Coastal Erosion, a Case Study for Palm Beach-Azur, Algeria
Why this work is in the frame
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Bibliographic record
Abstract
Facing the exhaustion of fossil energy and in the context of sustainable development, strong incentives are pushing for the development of renewable energies. Nuclear energy and fossil fuels like petroleum, coal, and natural gas provide most of the energy produced today. As a result, greenhouse gases are released and climate change becomes irreversible. Furthermore, radioactive waste disposal causes severe radiation pollution in nuclear power. Alternatives such as marine energy are more sustainable and predictable. It has none of the detrimental effects of fossil and nuclear energies and is significant in terms of environmental sustainability by defending the coastline from erosion. Here, we study the Palm Beach-Azur region near Algiers on the Mediterranean Sea. The study aims to use wave energy converters (WEC) to generate clean energy and reduce coastline erosion. The results of this study show that in the presence of wave energy converters, the wave height decreased by 0.3 m, and sediment deposition increased by 0.8 m. Thus, sand deposit prediction demonstrates that the presence of WEC decreases marine erosion and contributes to an accumulation of sediments on the coast. Moreover, this confirms that WECs can serve a dual role of extracting marine energy by converting it into electrical energy and as a defence against marine erosion. Therefore, WECs justify their efficiency both in energy production and economic and environmental profitability due to coastal protection.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it