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Record W2974132800 · doi:10.1139/cjce-2019-0079

Indoor climate loads for dwellings in different cold climates to assess hygrothermal performance of building envelopes

2019· article· en· W2974132800 on OpenAlexaffvenueabout
Simo Ilomets, Targo Kalamees, Fitsum Tariku

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2019
Typearticle
Languageen
FieldEngineering
TopicBuilding Energy and Comfort Optimization
Canadian institutionsBritish Columbia Institute of Technology
Fundersnot available
KeywordsASHRAE 90.1Environmental scienceOccupancyHumidityRelative humidityCold climateMicroclimateMeteorologyAtmospheric sciencesArchitectural engineeringEngineeringGeography

Abstract

fetched live from OpenAlex

This study tests the performance of an EN ISO 13788 occupancy modified model for indoor temperature and humidity in dwellings by comparing the model with the measured indoor temperature and relative humidity in Canada. The performance of EN ISO 13788 occupancy modified model is tested in 13 outdoor climates and compared with the simplified approach given in the ASHRAE 160 standard. It was found that the Estonian model’s proposed indoor temperature profile works reasonably well in accordance with the measured indoor temperatures in Vancouver, Canada, which are dependent on the outdoor climate; on the other hand, the ASHRAE 160 indoor temperature profile might not be the best for cold climates. Drawbacks were noted concerning the humidity loads given as a simplified approach in the ASHRAE 160 with the suggestions for the possible future renewal. A new approach for selecting the indoor humidity load for dwellings in cold climates is proposed.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.611

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 head0.008
GPT teacher head0.185
Teacher spread0.177 · 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
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

Citations13
Published2019
Admission routes3
Has abstractyes

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