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Record W4213261771 · doi:10.32920/ryerson.14661117.v1

The potential of thermal energy storage as an energy retrofit measure for high-rise residential buildings in Canada

2021· preprint· en· W4213261771 on OpenAlexaboutno aff
Shahrzad Soudian

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicPhase Change Materials Research
Canadian institutionsnot available
Fundersnot available
KeywordsThermal energy storageApartmentEnergy consumptionEnvironmental sciencePhase-change materialEnergy storagePhase changeEnergy (signal processing)ThermalEnergy performanceArchitectural engineeringCivil engineeringEngineeringMeteorologyElectrical engineeringEngineering physicsThermodynamicsGeography

Abstract

fetched live from OpenAlex

High-rise apartments are a prominent type of residential buildings in Canadian cities. However, poor aging performance of existing apartments has led to high discomfort and energy consumption that must be addressed. Thermal energy storage is a potential energy retrofit measure that affects energy consumption by regulating radiant temperatures. The aim of this study is to evaluate the effectiveness of latent thermal energy storage using phase change materials (PCMs) integrated into walls and ceilings of apartment units. A composite PCM system comprised of two different PCM products with melting points of 21.7 oC and 25 oC is proposed and evaluated to provide a year-around thermal energy storage. A simulation analysis using Energy Plus is performed to investigate the impacts of the composite PCM system on indoor temperatures and energy use. An experimental study is conducted using two small scale test cells to monitor the performance of the PCM system in detail.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.016
GPT teacher head0.237
Teacher spread0.221 · 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.

Study designBench or experimental
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

Citations0
Published2021
Admission routes1
Has abstractyes

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