Solar Air Heating System Designed for Energy Conservation in Manufacturing Applications
Bibliographic record
Abstract
The following paper outlines a solar air heating (SAH) system for the CAMTAC \nplant in Guelph Ontario. The purpose of the \nsystem is to reduce natural gas consumption \ncosts related to the continuous heating of ventilation air during the winter months. The design \nconsists of an acrylic plastic wall that stands \napproximately 11 cm from the south-east building wall. Fresh air is heated by incoming solar \nradiation and drawn up through the air space \nby existing make up air units (MUA) and distributed into the current buildings ventilation \nsystem. The SAH system will increase incoming \nventilation air by 1C which results in annual \nsavings of $14,000 by decreasing the amount of \nnatural gas consumed. Capital costs are estimated at $95,900 with operating and maintenance costs of $1,400 annually. This results in \na return on investment (ROI) of 6.6 -7.2 years \ndepending on climactic variables.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.020 | 0.005 |
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".