Techno-economic assessment of a grid-connected photovoltaic system installed at unioeste (western paraná state university), cascavel - pr campus
Bibliographic record
Abstract
This article aimed to carry out the techno-economic assessment of a grid-connected photovoltaic system at Western Paraná State University - UNIOESTE, Cascavel - PR campus. The system was built in order to meet the electricity demand of the Alternative Energy Systems Analysis Centre (CASA Project) and consists of ten photovoltaic modules with 330 Wp each (two strings with five modules in series), and a 4 kWp voltage inverter. For the technical assessment of the system, energy data collections were carried out in four different ways: the first one using the data that is provided by the bidirectional meter installed in the system; the second one through electricity bills provided by the local electric utility (COPEL); the third one through the Solar Man website, where the data provided by the inverter is stored; and the fourth one using data recorded by the EMBRASUL RE7000 electrical quantities analyser. As for the economic evaluation, a system feasibility analysis was performed, using the Net Present Value (NPV), the Internal Rate of Return (IRR) and the Discounted Payback (DP) as decision criteria. The results obtained in the study show that the values of electricity generation collected by the website and by the RE7000 are close, however, the values of the website are slightly higher. The total efficiency of the system was 13.32%. The return on investment occurs in 12 years, the IRR is 14.1% and the NPV is R$25,564.07, values that make the investment viable, but very close to the minimum acceptable limits.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".