MOHAWK COLLEGE'S NET ZERO ENERGY AND ZERO CARBON BUILDING—A LIVING LAB FOR HIGH EFFICIENCY AND RENEWABLE ENERGY TECHNOLOGIES IN BUILDINGS
Bibliographic record
Abstract
INTRODUCTION In recent years, large high efficiency and Net-Zero Energy Buildings (NZEB) are becoming a reality that are setting construction and energy benchmarks for the industry. As part of this significant effort, in 2018, Mohawk College opened the 8,981 m2 (96,670 ft2) Joyce Centre for Partnership and Innovation (JCPI) building in Hamilton, Ontario; becoming Canada's largest NZEB and zero-carbon institutional facility. The building integrated a high-efficiency design, construction materials, and technologies; as well as renewable energy technologies to significantly reduce its annual energy consumption and greenhouse gas emissions. Furthermore, the JCPI building was also designed as a living lab where students, faculty, researchers and industry are able to monitor and validate the performance of this state-of-the-art facility. The building was designed to have an energy use intensity of 73 kWh/m2·year (0.26 GJ/m2·year); hence, potentially consuming approximately 80% less energy than the average educational service building in Ontario. This paper gives an overview of the design criteria and technologies that were considered to achieve this innovative building.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.003 |
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".