REFRIGERADOR PORTÁTIL ALIMENTADO POR ENERGIA RENOVÁVEL
Bibliographic record
Abstract
This study is about the design of a portable refrigerator powered by renewable energy. Research is done on small scale solar and wind energy availability. The refrigeration is generated by thermoelectric modules, also known as Peltier modules. A successful refrigeration project begins with the correct calculation of the heating load. These calculations are based on local data from the intended area of operation (Tramandaí). The Peltier module selection is done through a heat transfer analysis based on the heat sinks used on the design and using the datasheet provided by the module manufacturer. The software EnergyPlus is used to calculate the available power provided by the photovoltaic panel during operation. Finally a brief study about the system electric components is done and its connections are represented in a simplified drawing. The design of the portable refrigerator has some physical and energetic constraints, like the large size and weight of its components, great energy consume by the Peltier modules and the low rate of energy powered by the renewable sources, adding a limitation to the heating. However, when the product is placed at 5 °C in the refrigerator, the temperature is preserved, and the refrigerator works within its limitations energy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".