Energy analysis and simulation of <scp>PCM</scp>‐enhanced building envelopes in commercial buildings: A case study
Bibliographic record
Abstract
Abstract Integrating phase change materials (PCMs) into the building envelopes is considered a promising solution to reduce the energy consumption in buildings. These materials, acting as thermal energy storage systems, delay the heat transfer from the building to out or in for several hours. The present research investigates the effect of PCM employed in the building envelopes on the building's energy‐saving. For this purpose, the central office building of the University of Torbat Heydarieh is simulated as the case study using DesignBuilder software in climatic conditions of East of Iran (dry climate with hot summer and cold winter). All materials are defined in the software, and a dynamic thermal model is developed to simulate the thermal loads of the building. The energy consumption of the building for cold seasons (from October to March) is simulated for the two scenarios of with and without PCM. The effect of the melting point is also investigated by considering three types of PCMs with different melting temperatures. After choosing the proper PCM according to weather conditions for this building, the effect of different combinations of PCMs applied to the south wall of the building on the reduction of the total energy consumption is investigated.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".