Technical feasibility study of net-zero energy house for Canada - case study of Team North 2009 US DOE Solar Decathlon competition
Bibliographic record
Abstract
In October 2009, Team North competed in the US DOE 2009 Solar Decathlon competition. Team North's mission was to design and deliver North House, an energy efficient solar-powered home while training Canada's next generation of leaders in sustainable design. In North House, the PV system on the roof was the primary energy generation, complimented by a custom PV cladding system on the south, east and west facades. A solar assisted heat pump system, including a three-tank heat transfer and storage system, the horizontally mounted evacuated-tube solar thermal collectors on the roof and a variable capacity heat pump met the hot water and space heating demands. A second variable capacity heat pump was utilized for space cooling. The solar thermal system was studied using TRNSYS simulation. For the initial assessments the simulations were run for Baltimore. Then, the analyses were extended to different cities across Canada. In all scenarios the same house was linked to the system. The minimum annual solar fraction of the different cities was 64% and it rose up to 81%. Finally, the data measured during the competition were analyzed and compared with the data resulting from the simulation. According to competition measures, during the 10 days of competition in Washington DC, the PV system generated 271.6kWh of electricity and the solar thermal system produced 91.7kWh while the house consumption was 294.1kWh. As a result, North House was evidently a net-positive house.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".