Design Optimization of a Wind-Powered Aeration System for Enhancing Rural Aquaculture
Bibliographic record
Abstract
Aeration is a critical process of commercial aquaculture and is required for maintaining sufficient dissolved oxygen (DO) levels for producing high yields of fish. However, many producers in low-income countries do not use active aeration due to high costs or lack of electrical availability. This project optimizes the design of a wind-powered system for passively increasing DO concentration in aquaculture ponds for use in these regions. The design consists of a vertical-axis wind turbine coupled to a subsurface impeller positioned in a draft tube. CFD-based optimization experiments were conducted to maximize the turbine efficiency and to increase the rate of water circulation. The optimized system was tested in an aquaculture pond to evaluate the impact of the system on DO levels. The optimized aeration system operated at a 12% greater rotational speed than the original design, improved distribution of DO and elevated the overall concentration by an average of 18%.
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How this classification was reachedexpand
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".