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Life cycle assessment and life cycle costing of container-based single-family housing in Canada: A case study

2019· article· en· W2966621651 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBuilding and Environment · 2019
Typearticle
Languageen
FieldEngineering
TopicSustainable Building Design and Assessment
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsContainer (type theory)Life-cycle assessmentEngineeringReliability engineeringComputer scienceEnvironmental scienceProduction (economics)Economics

Abstract

fetched live from OpenAlex

This research presents an early-design analysis of single-family housing located in Calgary, Canada; and combines energy analysis, life cycle assessment (LCA), and life-cycle costing (LCC), to investigate the life cycle impacts associated with repurposing upcycled containers into modular housing. The study considers four case studies; container and lightwood designed to code specifications, both serving as base models and two improved models of container and lightwood, designed by incorporating energy efficiency measures and passive solar design standards. The life cycle assessment results for the code cases clearly show that majority of the life cycle environmental impacts (95%) occur at the use and operation phase, followed by the pre-use contributing 4%, and less than 1% at the end of life. For the improved cases, results show similar findings as the use and operation phase contributes approximately 85% impact, however, a higher pre-use impact of 12% is reported. Over the 50 years lifespan, the comparative life cycle impacts show only 3% difference when comparing container to lightwood cases. Sensitivity analysis show that utilizing Scenario 100:0 (container code-cut-of-method) in housing can result in a substantial amount of avoided impact about 46 (t CO2 eq) and (538 GJ) 149,444 kWh energy savings as compared to Scenario 0:100 (improved container – end of life recycling). Approximately 10% life cycle cost reduction is realized with the improved cases compared to code cases. This study proves the potentials for repurposing container for long-term usage as a building system, thereby meeting affordable housing needs with less environmental impacts.

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 score0.164
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 head0.013
GPT teacher head0.220
Teacher spread0.207 · 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