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Record W4410185921 · doi:10.1177/17442591251333430

Numerical assessment of indoor thermal comfort in residential buildings: A comparison of radiant and all-air cooling systems

2025· article· en· W4410185921 on OpenAlexaff
Shengqiang Shi, Abdelatif Merabtine, Jie Peng, Mohammed Dhiya Eddine Sarmouk, Rachid Bennacer

Bibliographic record

VenueJournal of Building Physics · 2025
Typearticle
Languageen
FieldEngineering
TopicBuilding Energy and Comfort Optimization
Canadian institutionsUniversité de SherbrookeÉcole de Technologie SupérieureUniversité du Québec à Montréal
FundersChina Scholarship Council
KeywordsThermal comfortArchitectural engineeringEnvironmental scienceIndoor airRadiant coolingPassive coolingIndoor air qualityThermalMeteorologyEngineeringEnvironmental engineeringGeography

Abstract

fetched live from OpenAlex

Thermal comfort in residential buildings has become increasingly important due to rising summer temperatures and solar radiation exposure. This study addresses the limitations of existing simulation models in capturing dynamic solar effects by developing a validated numerical model using COMSOL Multiphysics ® . The research focuses on analyzing the impact of solar radiation patterns and evaluating the performance of different cooling systems in maintaining thermal comfort. Numerical simulations reveal significant temperature variations, with sun-exposed areas reaching up to 25°C higher than shaded zones during peak summer conditions. While ceiling cooling systems prove sufficient for uniformly shaded spaces, the study demonstrates that Air Handling Units most effectively address localized overheating caused by solar radiation. The energy savings that can be realized between uses of Air Handling Units are relatively marginal. Consequently, achieving a reasonable balance between thermal comfort and energy consumption is crucial for occupants. The developed model provides a reliable alternative to experimental measurements for assessing temperature distribution and heat accumulation in building configurations, offering valuable insights for optimizing cooling system performance in typical residential settings.

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 score0.193
Threshold uncertainty score0.520

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 science0.0000.000
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 head0.011
GPT teacher head0.290
Teacher spread0.279 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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