A Technical and Economic Feasibility Study for on-Grid Solar PV in Libya
Bibliographic record
Abstract
In this research, the technical, economic and environmental feasibility of a gridconnected solar photovoltaic (PV) system for a single-family residential home in several Libyan cities with separate locations was studied.In Libya, the rate of electricity consumption is the largest in the domestic sector, with 60% of the total electricity consumption.Due to the frequent power outages in Libya, and the dependence of power generation mainly on traditional sources, pollution problems, and energy alternatives are an important priority.To overcome these problems, we propose maximizing the exploitation of renewable energy sources for energy production.In this paper, the HOMER Pro Renewable Energy Modeling Software was used to conduct a technical evaluation of a grid-connected solar PV system's economic viability, where the design was proposed for a residential house for six Libyan cities.The size of the PV system for a residential home is estimated at 15 kW.The findings indicated that the suggested design could supply 85% of the household's electrical requirements.AlKufra was the best location in terms of economics and the environment for a grid plus PV system, as the initial cost of the system was $9,570, the Cost of Energy (COE) was $0.0314, and the carbon dioxide emissions were 56,982 kg/year.Overall, lower prices for PV modules and PV components combined with long life, less maintenance needs, and minimum parity near the grid.The results show that PV systems connected to the residential grid are an effective energy management option in most Libyan cities.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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".