MétaCan
Menu
Back to cohort
Record W2889118929 · doi:10.1139/cjce-2018-0237

Energy code compliant house design for lowest lifecycle cost based on market-available technologies

2018· article· en· W2889118929 on OpenAlexaffvenueabout
Behnaz Hesaraki, Yuxiang Chen, Regina Dias Barkokebas, Mohamed Al‐Hussein

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2018
Typearticle
Languageen
FieldEngineering
TopicSustainable Building Design and Assessment
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsEnvelope (radar)Building envelopeCode (set theory)Architectural engineeringBuilding codeEnergy (signal processing)EngineeringEnvironmental economicsReliability engineeringCivil engineeringComputer scienceTelecommunicationsEconomics

Abstract

fetched live from OpenAlex

Investigating code-compliant and market-available options for building envelope, domestic systems, and solar photovoltaic systems accounting for construction and operational cost, the near-lowest lifecycle cost (LCC) design compliant with building energy codes is identifiable following the methodology proposed in this study. A case study of a house design in Edmonton, Canada, is conducted to demonstrate the methodology; the 30-year LCC of options for code-compliance are calculated for three energy cost scenarios. The results indicate that the most cost-effective design may have a 16% to 30% lower LCC than other investigated designs. In terms of achieving a similar level of energy performance, a house that uses a heat recovery ventilator, forced-air gas-fired space heating system, tankless water heater, and features a less-insulated building envelope offers the lowest LCC. The results of this study suggest that LCC should be considered in the development of building energy regulations to include economic aspects while proposing energy standards.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.991
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.018
GPT teacher head0.206
Teacher spread0.188 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

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

Citations7
Published2018
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Civil EngineeringSame topicSustainable Building Design and AssessmentFrench-language works237,207