Bibliographic record
Abstract
In this paper we explore the relationship between solar potential and the built urban environment. Solar potential across the urban landscape is uneven, in part, because it is affected by the surrounding texture of the urban form. Increasingly, the integration of solar energy considerations into urban planning and design is considered a crucial step in the transition from fossil fuels toward more renewable energy sources. Given the impact of the urban form, a key challenge may be the tension between solar potential and policies that promote densification. Other studies have noted how the built environment may significantly decrease solar potential. We suggest in this paper that solar potential should be more adequately considered in pre- planning phases with emphasis on the effects of building design on solar potential. The urgency may be heightened because increasing density with taller buildings has been embraced and widely implemented as part of many cities’ urban sustainability agendas. Using the City of Calgary as a case-study, we explore its solar potential. A spatial modelling tool in a GIS environment was used to assess the solar potential of the central business district and surrounding neighborhoods. The results show that Calgary's central business district has significantly lower solar potential than the surrounding neighborhoods. Importantly, current land-use regulations do not cover the potential impact of taller buildings on the area's solar potential. We suggest that there should at least be acknowledgement of this issue in urban planning practices and that solar potential should be incorporated as one variable in the urban planning process.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".