A novel macro-scale machine learning prediction based on high-fidelity CFD simulations: A case study on the pore-scale porous Trombe wall with phase change material capsulation
In the present study, multi-layer calculations loops based on machine learning used to simulate the flow pattern and the thermal behavior through pore scale porous media (PSPM) walls, including phase-change materials (PCMs) in Trombe walls. A study of the thermal behavior of PSPM walls over a 24 hr...
| Опубликовано в: : | Journal of building engineering Vol. 54. P. 104505 (1-19) |
|---|---|
| Другие авторы: | Saboori, Tabassom, Zhao, Lei, Mesgarpour, Mehrdad, Wongwises, Somchai, Mahian, Omid |
| Формат: | Статья в журнале |
| Язык: | English |
| Предметы: | |
| Online-ссылка: | http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:001000089 |
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