Building Integrated Photovoltaic/Thermal Collector for Arctic Residential Applications
Bibliographic record
Abstract
This thesis investigated the performance of an open loop air-based building integrated photovoltaic/thermal collector (BIPV/T) designed to preheat ERV supply air and to generate electricity. Energy Recovery Ventilators (ERV) have proven successful in cold climates, but in the extreme cold of the Arctic, frequent frosting and defrosting cycles reduce their effectiveness and increase the energy consumption. Thus, by integrating with BIPV/T which preheats the ventilation air, this problem can be reduced while also generating electricity. A finite difference model of the BIPV/T system integrated in a typical potential application was simulated in MATLAB using local weather data and indoor fresh air requirements to obtain system outputs. BIPV/T design parameters such as the tilt angle, and cavity depth were varied, with consideration of using nominal lumber sizes and ease of construction for improved implementation for Arctic residential applications. It was seen that the BIPV/T was able to increase the fresh air temperature supplied to the ERV up to 16°C and helped to reduce the defrosting time up to 7 hours per day. The 40m2 BIPV/T array also produced a considerable amount of electricity up to 33kWh/day and 7.5kWh/day of thermal energy was recovered. \nSimulated electrical and thermal energy generated by the BIPV/T system are then compared with the measured energy usage data from a high-performance northern housing prototype located in Nunavik, Quebec. With this comparison the net energy usage is obtained along with the energy savings and was seen to reduce the annual electricity costs over 30% as well as approximately 5.5% of the total energy costs.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".