Energy Management System (EMS): The Impact of Natural Ventilation and Shading Control on Thermal Performance of University Building in Winnipeg, Canada
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
High-performance buildings often depend on welldesigned and operated windows and shading. This study aims to optimize the operation of shading devices and use of natural ventilation in a university building with a highly glazed façade, located in extreme continental climate. To meet this aim, a detailed building energy model of the university building was developed in EnergyPlus. After that, the Energy Management System was used to test and develop optimal shading and natural ventilation control strategies that minimize energy consumption while maintaining and potentially improving the indoor environmental quality. The results show that an integrated approach for automatic control of shading is more efficient compared to the individual strategies and can reduce the cooling and heating energy demand by around 20% and 5.6%, respectively. Moreover, the findings indicate that appropriate ventilation control strategies can reduce the overheating time by 75 hours.
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.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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