Feasibility Analysis of Grid-Connected Solar Photovoltaic Systems in Dhahran and Bisha, Saudi Arabia
Bibliographic record
Abstract
The potential for grid-connected solar photovoltaic (PV) systems to provide sustainable energy solutions across diverse climatic zones in Saudi Arabia was analyzed through a detailed feasibility study focusing on Dhahran and Bisha, representing different climatic conditions.In Dhahran, the power capacity for the six assessed PV technologies -Gintech, Jinko Solar, Apain Solar, Canadian Solar, Green Power, and Suntech-ranged from 11,970 kW to 12,012 kW, with the number of panels varying from 35,200 to 46,200.The solar collector area spanned from 61,242 m² to 88,715 m², and the electricity exported to the grid was consistent at approximately 18.770 MWh to 18,839 MWh.Initial costs were between USD 7,100,180 and USD 7,135,128, while revenue from exported electricity ranged from USD 912,378 to USD 915,079 with GHG emission reductions substantial at 9700 to 9736 tCO 2 .In Bisha, power capacities ranged between 9711 kW and 9800 kW, with panel counts from 28,600 to 37,750, and solar collector areas varying from 49.774 m² to 71,721 m².The electricity exported to the grid ranged from 18,780 MWh to 18,952 MWh.Initial costs were lower, between USD 5,768,334 and USD 5,821,200 and the revenue from exported electricity ranged from USD 912,686 to USD 921,051 with GHG emission reductions between 9705 and 9794 tCO 2 .These findings highlight the economic and environmental benefits of deploying grid-connected solar PV systems across different regions in Saudi Arabia, demonstrating significant potential for energy cost savings and substantial reductions in carbon emissions.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".