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Record W4229766380 · doi:10.32920/ryerson.14663748

Raising the Roof : Making Contemporary Housing Developments Solar Ready

2021· preprint· en· W4229766380 on OpenAlexafffundabout
Charles Riddell

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicBuilding Energy and Comfort Optimization
Canadian institutionsToronto Metropolitan UniversitySciencetech (Canada)Dalhousie University
FundersNational Renewable Energy LaboratoryNatural Resources CanadaIndependent Electricity System OperatorMinistry of Education, IndiaOntario Power Authority
KeywordsRenewable energyRoofArchitectural engineeringSolar energyPhotovoltaic systemEnvironmental economicsExploitZero-energy buildingPopulationBusinessEngineeringCivil engineeringEnvironmental scienceComputer scienceEconomics

Abstract

fetched live from OpenAlex

With a growing population and the inevitable increase in demand for energy, cities planners and developers need to design communities that are sustainable and resilient to meet the ever growing challenges of the 21st century. Solar energy is a viable attribute to our current energy production and, as this research indicates, provides an opportunity to move towards a renewable energy system. Solar ready homes can help bridge the transition from non-renewable to renewable energy sources, by provide infrastructure that has the ability to exploit solar resources. The overall objective of this research is to quantify the potential solar energy generated from roofs in a typical contemporary housing development built in southern Ontario through simulations. Further analysis showed that small simplified modification to the original roof typography can increase solar electrical production in some cases as high as 47%. Furthermore, by pooling the solar electrical production of a cluster of homes that represent a block in a typical contemporary neighbourhood, simulation were conducted and showed that significantly portion of the blocks electrical consumption could be offset through roof top solar generation.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.197
Threshold uncertainty score0.393

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.056
GPT teacher head0.255
Teacher spread0.199 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2021
Admission routes3
Has abstractyes

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