Investigation of Photovoltaic Self-sufficiency for a Residential Building in Canada
Bibliographic record
Abstract
In this study, the self sufficiency of a photovoltaic (PV) system installed on the roof of a single house is assessed in its response to the particularly severe weather conditions of Canada. Since the local climate presents large daily and yearly temperature fluctuations, in addition to the presence of snow, drizzle and freezing rain the design of renewable energy systems is very challenging. This research presents the investigation of both passive and active solar designs for a Canadian house. Self and transfer admittances of all surfaces were calculated. Furthermore, the zone admittance matrix has been derived for three different harmonics of the weather inputs. An explicit finite difference model is used to calculate the temperature of the all nodes which are considered. Further, the equations resulted from the finite difference model are solved by MathCAD. The passive response of the house shows around 20°C difference between room-air and ambient average temperature in a winter day. The second part of this study includes the simulation of the PV system and house energy consumption. It has been carried out by use of PVSOL. Consequently, by making a comparison between total consumption of the house and the electricity production by a PV system, the self sufficiency of a PV system was evaluated. This system is theoretically self-sufficient since the designed PV system provides 70 kWh in a sunny winter day when the maximum required energy for the building is 30 kWh approximately.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".