Comparative analysis of offshore and onshore wind turbines: Efficiency, design, and environmental impact
Bibliographic record
Abstract
This study provides a comparative analysis of offshore and onshore wind turbines, focusing on efficiency, design, environmental impacts, and regulatory frameworks. Offshore turbines, benefiting from higher, more consistent wind speeds (∼9 m/s at hub height), achieve capacity factors exceeding 50%, with individual outputs reaching up to 15 MW. Onshore systems operate at lower wind speeds (∼5–8 m/s), achieving capacity factors of 30–40% and outputs of 2–4 MW. Offshore systems, exemplified by Hywind Scotland’s 56% capacity factor, offer scalability but involve higher levelized cost of energy (LCOE) of $80/MWh and potential marine ecosystem impacts. Onshore turbines, more economically viable ($50/MWh LCOE), face land-use conflicts, and biodiversity risks. The study underscores the need for site-specific solutions, balancing energy efficiency, sustainability, and cost-effectiveness, with technological advancements like floating foundations and modular designs enhancing future wind energy scalability. These findings guide investments in clean energy systems tailored to geographic and economic contexts.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".