Hybrid Solar and Wind Power Generation in Saudi Arabia
Bibliographic record
Abstract
Solar and wind energy systems are attractive hybrid renewable energy systems suitable for various applications and most commonly for power generation. Compared to standalone wind and solar devices, hybrid systems have several advantages, including requiring lesser or no storage devices, being more reliable, damping the daily and seasonal variations and ensuring constant energy flows. This work aims to conduct a feasibility study and a performance analysis of a hybrid wind and solar photovoltaic (PV) power system in selected regions in the Kingdom of Saudi Arabia (KSA). A detailed review on the potential of PV, wind energy and hybrid energy systems in KSA, to reason out the potential areas of study, has identified two sites to be selected to carry out the investigation. A small size power system driven by solar and wind energy has been modeled and simulated for a year period in the selected locations. Various configuration schemes of integrated solar and wind with storage devices for such a small capacity system have been proposed and their respective performances have been evaluated. Techno-economic aspects have been included. The simulation results indicated that the developed model shows a promising future of implementing the renewable energy system in the eastern and southern regions of the Kingdom.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".