Simplified Solar Optical Calculations For Windows With Venetian Blinds
Bibliographic record
Abstract
Solar gain through a window represents the most variable heat gain imposed on an indoor space. It is also likely to represent the largest heat gain of the indoor space. Shading devices like venetian blinds roller blinds and drapes are routinely used to control solar gain through windows and their potential for reduction of building load and annual energy consumption is recognized to be large. As such, there is a strong need for models that allow shading layers to be included in glazing system analysis. In this paper, three sets of calculations are presented for a window with light- and dark-coloured venetian blinds using simplified models and computational procedures. For each of the three sets; hourly transmitted, reflected and absorbed fluxes are calculated for both summer and winter conditions. In the first set, the venetian blind is placed on the indoor-side of the window. For the second set the venetian blind is placed between the glazings. Finally, the third set of results is obtained by placing the venetian blind on the outdoor-side of the window.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".