Modeling of thermal mass energy storage in buildings with phase change materials
Bibliographic record
Abstract
DEDICATIONTo a better world rates (0.01 to 0.8 °C/min) is discussed.The PCM characterization is completed with a study dedicated to define the PCM thermal behavior when phase change (melting or solidification) is interrupted (chapter 7).The last part (chapters 8 and 9) focuses on the development and validation of a new model for walls with PCMs, or more generally layers with variable thermal properties.The developed model is based on an explicit finite-difference method coupled with an enthalpy method to model the PCM thermal behavior.This model is able to simulate a PCM with hysteresis, subcooling and temperature-dependent thermal conductivity.A detailed description of the method and the algorithm is given.This model is numerically validated, using comparisons with reference models simulating wall test cases proposed by the International Energy Agency.The developed model is also compared to a reference effective heat capacity model.On two specific aspects (phase change detection and energy conservation principle), the developed enthalpy method is more effective than the other method.Finally, the developed model is experimentally validated using data from a fullscale test-bench.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".