Design and analysis of a hybrid power system for an offshore aquaculture site in Newfoundland, Canada
Bibliographic record
Abstract
The offshore aquaculture industry in Canada is bound to rely on non-renewable energy sources i.e. Diesel Generators (DGs) to meet its intensive energy needs due to absence of utility’s electrical infrastructure. The said energy source is expensive, detrimental for the marine ecosystem, difficult to manage its transport and storage at site. This thesis presents a comprehensive solution to replace the high-cost energy source with a cost-effective and environmentally friendly energy source for an offshore aquaculture site located near Red Island, Newfoundland, Canada. The first step involves inputting the actual energy requirements of the site into Homer Pro software to design a hybrid power system, primarily featuring a floating solar power system (FSPV) to replace DGs. The techno-commercial viability of the designed system is assessed in three scenarios (Base, Ideal, and Worst), all of which show convincing and encouraging levels of renewable energy penetration. By comparing the cost of electrcity calculated by the software with the existing setup's energy cost, it is evident that the FSPV system is economically advantageous in all computed scenerios, base case of the designed FSPV system is 42% cost-effective. To validate the design, the system is modeled in MATLAB, and its dynamic performance is analyzed under varying conditions such as irradiance, temperature, and load side variations. The simulation results demonstrate the system's satisfactory and reliable response in all scenarios. For remote monitoring, a low-cost and open-source LoRA-based SCADA system is implemented. Additionally, an interactive Graphical User Interface (GUI) is developed to visualize historical and real-time data, showcasing the system's performance. The assembled hardware and results affirm that the proposed design is capable of providing a remote monitoring solution for offshore aquaculture sites. The findings underscore the potential of FSPV systems as a viable and sustainable solution for powering fish farms, thereby contributing to the overall sustainability of the aquaculture industry.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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 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".