Modelling and Simulation of BIPV/T in EnergyPlus and TRNSYS
Bibliographic record
Abstract
A BIPV/T model, called BIPVTSYSTEM, was developed and implemented into EnergyPlus, a building energy simulation software that currently lacks BIPV/T modelling capabilities. The EnergyPlus model was based on the same equations of TRNSYS Type 567 but with a few modifications in regards to its thermal-fluidic relations. This new EnergyPlus object will assist users using EnergyPlus in large scale community modelling that will employ both façade and roof integrated BIPV/T systems. EnergyPlus's BIPVTSYSTEM and a modified version of TRNSYS Type 567 were both used to conduct a yearlong simulation of a BIPV/T system. The factors contributing to the discrepancies of the results between the two models were attributed to the different weather data interpolation methodologies, sky temperature computations, and electrical models employed by both software.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".