On the Prediction of Ground-Reflected Solar Radiation and its Relevance in the Context of Building Performance Simulation (BPS)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Establishing accurate ground reflectivity values is critical for the reliable prediction of ground-reflected solar radiation. It is common for building performance simulation users to employ the default values of ground reflectivity (0.2 for most simulation tools) which can lead to significant inaccuracies, especially for periods during which the ground is covered by snow. The paper provides an overview of existing models for predicting ground reflectivity, and then presents a new model suitable for implementation into BPS tools. Simulation results predicted with the new model are further compared with measurements. To quantify the influence of the new model, two sets of simulations were run with ESP-r to predict the solar irradiance incident on a south oriented façade and on a south oriented 60°-sloped surface. Comparing the predictions with measured data, it was noticed that the influence of the new model on predicted solar irradiance is higher for the vertical surface.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it