A Numerical Study of the Effect of Thermal Mass on the Transient Thermal Performance of a Simple Three Storied Atrium Building
Bibliographic record
Abstract
The effect of thermal mass is becoming increasingly important under the scope of low energy use building construction and energy conservation. In this paper the dynamic behaviour of the effect of the thermal mass of external walls on the development of solar-assisted buoyancy-driven ventilation flow rates, air flow patterns and temperature distributions in a simple three-storied atrium building was investigated using unsteady Reynolds Averaged Navier-Stokes equations (RANS) modelling approach. The SST-k-omega turbulence model and the Discrete Transfer Radiation Model (DTRM) were used in the CFD simulations. The unsteady-state governing equations were solved using a commercial CFD solver FLUENT©. The numerical results were obtained for indoor transient thermal conditions by assuming the external concrete walls of the building under three situations: (i) walls with internal insulation covering (ii) walls with external insulation covering, and (iii) walls without insulation covering. The buoyancy-driven ventilation volume flow rates and internal temperature variations from 8:00 to 15:00hrs on July 15, 2011 were calculated using CFD simulations. Numerical results obtained indicate that the transient CFD simulations provide important information about the effect of the thermal mass on the thermal behaviour of the building. It was found that the thermal mass of external walls with external insulation covering was a better option which helped to control the diurnal temperature swings making the conditions within the building more comfortable. Heat stored in the walls can be useful for the night-time buoyancy-driven ventilation when there is no solar radiation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".