Evaluation of energy performance of UBC's residential buildings using actual data
Bibliographic record
Abstract
The Canadian residential sector consumes 20 per cent of Canada’s total secondary energy as shown in Figure 1 and there are many residential buildings that are currently being built on UBC campus. All the residential buildings on campus have to be constructed according to UBC’s own building rating system, the Residential Environmental Assessment Program (REAP), to ensure lower consumption of water, energy and other resources and higher-quality indoor environment than buildings that are built without any rating systems. However, REAP is applied during planning and construction phases and hence, it does not always guarantee lower energy consumption in the post-occupancy phase. This project was undertaken to assess the energy performance of UBC’s residential buildings using actual energy consumption data. The primary objective of this study is to analyze electricity and gas consumption of three of UBC’s Faculty and Staff Housing buildings. The main sources for this project are electricity and gas consumption data provided by UBC Utilities, building floor plans from UBC Infrastructure Development, and weather data. The average total energy intensity for the three buildings was found to be 165.4 kWh/m²/yr. For a more detailed break-down of energy analysis, individual suite metering for domestic hot water heating and gas fireplaces would be required. Disclaimer: “UBC SEEDS provides students with the opportunity to share the findings of their studies, as well as their opinions, conclusions and recommendations with the UBC community. The reader should bear in mind that this is a student project/report and is not an official document of UBC. Furthermore readers should bear in mind that these reports may not reflect the current status of activities at UBC. We urge you to contact the research persons mentioned in a report or the SEEDS Coordinator about the current status of the subject matter of a project/report.”
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".