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Record W4246455414 · doi:10.32920/ryerson.14661507

Evaluating the impact of solar envelope zoning solar access and development density: A study of mid-rise buildings in Toronto

2021· preprint· en· W4246455414 on OpenAlexaffabout
Kelsey Saunders

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicBuilding Energy and Comfort Optimization
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsZoningEnvelope (radar)Building envelopeUrban planningGeographyArchitectural engineeringMeteorologyCivil engineeringEnvironmental scienceEngineeringTelecommunications

Abstract

fetched live from OpenAlex

The global population is growing exponentially with a trend of people moving to cities, resulting in rapid growth in the urban built environment. It is critical for urban planners to promote health, comfort, and resiliency in urban areas through integrated solar access requirements within zoning regulations. This paper evaluates the potential for the Solar Envelope Zoning (SEZ) method as a zoning tool in Toronto, Canada. The SEZ method is compared with current zoning regulations and mid-rise buildings guidelines using parametric modelling to establish the solar envelope on a typical building site. The resulting development density and solar radiation incident on adjacent building facades is evaluated. A similar study is performed on a site that is currently proposed for development along one of Toronto’s main avenues. The results show that by redefining solar access requirements to include climate dependent variables, SEZ can provide competitive development density while improving solar access.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.226
Threshold uncertainty score0.456

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.045
GPT teacher head0.340
Teacher spread0.295 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes2
Has abstractyes

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