Economic Viability of Photovoltaic Systems in a Rural Community in Brazil
Bibliographic record
Abstract
Solar energy can be converted directly into electricity using photovoltaic cell technology. It is considered as the technology of the future because it uses the Sun, a clean and inexhaustible source. Thus, this study aimed to evaluate the economic viability in energy generation of a photovoltaic system in a rural community in the district of Rio do Salto. The rural community is in the municipality of Cascavel, western region of the state of Paraná, geographical coordinates latitude 25°8'31"S, longitude 53°19'40"W and altitude 781 m. Rio do Salto has regulations of 19 blocks with 241 properties. The evaluated properties belonged to block 11. The project was feasible when the payback period of the investment occurred within the expected photovoltaic system life cycle and if the internal rate of return (IRR) was higher than the minimum attractiveness expected for the project. To ensure the viability of this power generation system, the average consumption over the 12-month period should be higher than the rate of availability of the concessionaire that the owner should pay. This value varied according to the connection type (single-phase: 30 kWh, two-phase: 50 kWh and three-phase: 100 kWh). Property 9 was the only one that did not show conditions for photovoltaic system for not reaching the minimum connection tariff of the concessionaire.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".