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Record W4407386736 · doi:10.1016/j.enbenv.2025.02.003

Experimental investigation of building mock-ups and air source heat pumps in cold climates

2025· article· en· W4407386736 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

VenueEnergy and Built Environment · 2025
Typearticle
Languageen
FieldEngineering
TopicBuilding Energy and Comfort Optimization
Canadian institutionsOntario Tech University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCold climateAir source heat pumpsEnvironmental scienceNuclear engineeringMechanical engineeringArchitectural engineeringHeat pumpMeteorologyEngineeringHeat exchangerPhysics

Abstract

fetched live from OpenAlex

Air source heat pumps (ASHPs) are critical in reducing carbon emissions, particularly in extreme cold climates like Canada. However, less than 10% of residential buildings in Canada utilize heat pumps, underscoring the need for more energy-efficient solutions to achieve net-zero and passive house standards. This study simultaneously evaluates the performance of building mock-ups and a commercial ASHP at extremely cold temperatures of 0 °C, -10 °C, and -25 °C, simulated in a climatic chamber using co-heating and traditional disaggregate methods. Two envelope types are evaluated: one constructed to meet the requirements of the Canadian Building Code (CBC) and another with retrofitted walls aimed at enhancing the insulation. The envelope's thermal performance shows a deviation of no more than 7% between the co-heating and disaggregate methods, while theoretical calculations show deviations of up to 23%. The ASHP data reveal that enhanced insulation not only limits the envelope's heat loss but also significantly improves the ASHP performance by consuming less energy while maintaining a steady thermal output. At -10 °C, the retrofitted envelope increases the ASHP performance by 28% and by 100% at -25 °C, relative to the performance of the CBC. These findings underscore the importance of improved building envelopes in enhancing ASHP performance and delivering sustainable heating solutions for cold climates.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.594
Threshold uncertainty score0.445

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 head0.004
GPT teacher head0.177
Teacher spread0.173 · 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