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Record W4239286686 · doi:10.26868/25222708.2019.210555

Energy Efficient Design and Energy Sharing Potential of Urban-Community

2020· article· en· W4239286686 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBuilding Simulation Conference proceedings · 2020
Typearticle
Languageen
FieldEnergy
TopicEnergy, Environment, Agriculture Analysis
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsEnergy (signal processing)Computer scienceEfficient energy useEnvironmental economicsEnvironmental scienceEngineeringElectrical engineeringPhysicsEconomics

Abstract

fetched live from OpenAlex

This paper presents the results of a simulation study of an urban centric retail-residential complex and explores energy efficient building design parameters and energy sharing strategies within both building types of the complex. The results show that with an integrated building design approach, cutting edge technologies and high energy efficiency measures a net reduction of 29 % energy in the retail, 32 % for row house and 41 % for the detached house model is achieved compared to design complying with the minimum requirement of the applicable energy code. By adding building integrated solar photovoltaic (BIPV) system, a net reduction of 86 % in electrical energy import to the retail, 100 % for row house and 96 % for the detached house model is achieved. Additionally by sharing waste heat recovered from retail refrigeration compressor racks, up to 68% of the space and ventilation heating demand of the retailresidential complex can be met. It has been found that by feasible combination of buildings designed to harness on-site energy and sharing energy between the individual buildings, dependence on utility grids can be reduced for climate change resilient urban infrastructure.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.435
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.237
Teacher spread0.208 · 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