The Energy Management and Planning of the Proposed Water-Energy Nexus Concept by Considering Tidal Turbine and INVELOX as Novel Options
Bibliographic record
Abstract
The energy and water crisis due to the rapidly growing population and developing societies caused countries and governments to think about novel technologies and ways to respond to this issue. Therefore, this paper is about energy planning and management of the proposed concept for supplying water and energy simultaneously. This approach helps to overcome and supply the dramatic energy need of desalination and distribution systems. This article aims to supply the demands and minimize the total cost at the same time. Various renewable and non-renewable energy resources such as tidal turbines, INVELOX turbines, CHP, micro-turbines, and other elements are utilized in the proposed planning. Real weather conditions are considered to compute the output power of wind and tidal turbines. The presented water-energy nexus structure is modeled as a MINLP concept and solved in GAMS software using various solvers to illustrate the reliability of the optimization answers. The final results show a high improvement in the total cost reduction.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".