Investigation Of The Impacts Of Local Microclimate On PV Energy Efficiency And Outdoor Thermal Comfort
Bibliographic record
Abstract
Cities are increasingly incentivizing rooftop photovoltaics (PV) for the reduction of greenhouse gas emissions together with more urban forestry and high albedo surfaces for the mitigation the of urban heat island (UHI) effects. Previous interventions are proven to be effective in isolation, but their combined performance is seldom considered. Through microclimate simulations of a neighbourhood in Brampton, Ontario, this study investigates the trade-offs between large-scale deployments of rooftop PV, street trees and cool roofs. The performance of each intervention is compared in terms of PV efficiency and the Universal Thermal Climate Index (UTCI) values. The study shows that street trees can reduce the energy output of rooftop PV significantly depending on their height and location, and such, there is need for solar access laws in Ontario. Further, adopting rooftop PV instead of cool roofs can result in a pedestrian environment up to 0.5 °C higher UTCI during a heat wave.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".