An Analysis of Solar Thermal Technologies Integrated into a Canadian Office Building
Bibliographic record
Abstract
This paper presents an analysis of three innovative solar heating and cooling systems integrated into a typical high performance office building in Montreal, Québec, Canada. A base case energy model of the office is first created in TRNSYS and used to determine the building thermal loads and the end use energy use distribution. This model then serves as the base for the analysis of several reference cases and innovative solar systems, including solar driven absorption chiller and heat pump designs. Results highlight the importance of operating the solar system in both heating and cooling modes. A combination of a GSHP with a solar driven chiller and direct solar heating was found to achieve the highest primary energy savings, with a 76% reduction relative to a standard reference system. The highest solar fractions were obtained for a solar driven absorption heat pump, with the system achieving an annual solar fraction of 0.31 while meeting nearly the entire heating load and a significant portion of the cooling load of a typical building floor through solar energy. It was concluded that the most practical application of solar energy for this building type and climate involved using solar energy to supplement a highly efficient base mechanical system such as a heat pump. Future work will examine additional climate regions and control strategies for system operations.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".