Dynamic thermal modeling of a commercial greenhouse in Quebec with a newTRNSYS type to estimate evapotranspiration
Bibliographic record
Abstract
Abstract: This paper proposes a dynamic thermal model for a commercial greenhouse in Quebec, Canada, used for tomato cultivation. The study aims to improve the accuracy and efficiency of greenhouse simulations by considering the impact of plants' complex internal gains on the sensible and latent loads of the greenhouse. A new TRNSYS type is developed to account for latent and sensible gains/losses from evapotranspiration and evapotranspiration rates. A co-simulation approach is employed between TRNSYS for transient energy simulations and CONTAM for airflow rate calculations. One span out of eight is modeled. The span is 121.9 × 7.6 m² and 6.7 meters high. The model is able to estimate indoor temperature and relative humidity and the evapotranspiration rate. The evapotranspiration rates obtained in this study are consistent with those reported in the literature.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".