Optimal adoption and cost-effectiveness of rooftop solar and wind turbines for community energy systems under climate change
Bibliographic record
Abstract
Community energy systems represent a promising pathway for urban decarbonization, yet developing locally adapted energy supply strategies remains challenging due to evolving climate conditions, local environmental factors, and technological advancements. Here, this study presents a bottom-up modeling framework that integrates these factors to assess the optimal adoption of community solar and wind resources for community energy systems across eight major Canadian cities under future climate periods ranging from 1°C to 3.5°C. The results indicate that the solar-only and hybrid strategies reduce costs by over 40% from the 1°C to the 3.5°C climate period, while wind-only strategy increase costs by at least 30% in six cities. Furthermore, technological advancements could contribute to an additional 5% to 20% cost reduction across all energy supply strategies. Hybrid supply strategies consistently offer the best balance of economic viability and resilience in current and future periods, while the optimal single-resource strategy remains highly dependent on local solar or wind resource availability.
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 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 | 0.000 |
| 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".