A workflow for evaluating occupant-centric controls using building simulation
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
Indoor climate and lighting in office buildings are operated using static and conservative setpoints and schedules that are sub-optimal for real occupancy/occupants’ diverse preferences. In contrast, occupant-centric control (OCC) is an operational strategy whereby occupancy/occupants’ preferences are estimated to improve energy efficiency and comfort. This paper develops a practical workflow for implementing and evaluating OCCs via building simulation. A library of five OCC functions is introduced for use with building sensor data. EnergyPlus simulations of a generic nine-office testbed are performed with combinations of OCCs, climates, and envelope assemblies to demonstrate the workflow; the results showed that the energy use and thermal discomfort (the number of hours spent outside a selected thermal comfort zone) could be reduced by up to 37% and 65%, respectively, when OCCs were implemented in the testbed. This workflow allows for a diverse combination of OCCs, climates, and envelopes that can be expanded upon practically and incrementally.
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 | 0.001 | 0.000 |
| 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