Dynamic Modelling of a Solar Energy System with Vehicle to Home and Vehicle to Grid Option for Newfoundland Conditions
Bibliographic record
Abstract
The dynamic modelling of a solar energy system with vehicle to home (V2H) and vehicle to grid (V2G) options for Newfoundland conditions is discussed in this paper. A site (13 Polina Road) was chosen in St. John's, Newfoundland, Canada. An optimized system was built for the chosen site using BEopt, Homer, and MATLAB software’s to meet the house's energy demand. Furthermore, smart current sensors installed in the house are used to incorporate the V2H and V2G concepts. The Nissan Leaf's battery is used to supply household loads in V2H operation mode when the power supplied by the PV panel and the storage energy in the inhouse battery is less than the load's energy demand. In V2G mode, the vehicle is only linked to grid. Along with the simulation results, detailed system dynamic modelling is also presented. There are nine different system control modes that are proposed and simulated.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".