An effective use of three renewable sources for generation of quintuple useful outputs with hydrogen for sustainable communities and greenhouses
Bibliographic record
Abstract
Global warming negatively impacts societies worldwide by raising land and ocean temperatures and sea levels, destroying ecosystems. In addressing these issues, building sustainable energy systems at the community level may have a pivotal impact on reducing climate change and promoting sustainability. This study focuses on the combined power process that harnesses geothermal, wind, and wave energy for several purposes, including generating electricity and heat, producing fresh water and hydrogen, and providing residential hot water. Innovatively integrating tidal energy systems with power systems ensures a dependable power supply by entirely using each renewable energy source. The proposed research entails the incorporation of various elements, such as a wind farm, a geothermal-organic Rankine cycle (ORC), a multi-effect desalination (MED) unit, an Alkaline electrolyzer, a tidal energy system, greenhouses, and a hydrogen storage and refuelling station. The thermodynamic evaluation is used to evaluate the system's efficacy under investigation. The system achieves a freshwater production rate of 2.05 kg/s and a hydrogen generation rate of 0.005 kg/s. The system's net power production is 1919.1 kW, although Heat exchanger 1 has the greatest exergy destruction rate at 2700 kW. The heat provided to the greenhouses was determined to be 7848 kW. The predominant cause of energy loss in a wind farm is availability, which accounts for 5.55% of total energy losses. The overall energy and exergy efficiencies of the proposed system were obtained to be 18.13% and 25.6%, respectively. While these values may seem low due to the substantial energy inputs compared to the limited conversion into useful output, their efficiencies might be enhanced by minimizing irreversibilities and enhancing thermodynamic performance.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".