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Adjusting Ventilation for Heat Control in an Industrial Building Using Computational Fluid Dynamics: Case Study of a Heat TreatmentPlant in Automobile Industry |
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| รหัสดีโอไอ | |
| Creator | Kritana Prueksakorn |
| Title | Adjusting Ventilation for Heat Control in an Industrial Building Using Computational Fluid Dynamics: Case Study of a Heat TreatmentPlant in Automobile Industry |
| Contributor | Phatra Samerwong, Thunyapat Sattraburut, Hyunchul Ha, Kwangseog Ahn3and Taehyeung Kim |
| Publisher | Environmental Engineering Association of Thailand |
| Publication Year | 2565 |
| Journal Title | Thai Environmental Engineering Journal (TEEJ) |
| Journal Vol. | 36 |
| Journal No. | 1 |
| Page no. | 71-87 |
| Keyword | Computational fluid dynamic, Heat stress, Heat ventilation, Industrial heat control, Jet fan ventilation |
| URL Website | https://so05.tci-thaijo.org/index.php/teej |
| Website title | Thai Environmental Engineering Journal (TEEJ) |
| ISSN | 2673-0359 |
| Abstract | Heat strain is a serious health issue in many manufacturing industries, including steel plants, foundries, and automobile industries. This research attemptsto control the high temperatures in a heat treatment plant of automobile industry whose existing ventilation methods were insufficient to addressthe heat-related problems. Preliminary studies were carried out to determine the existing temperaturesand air velocities, the effectiveness of the ventilation measures and the problems associated with the heat processes. The obtained data werefed into a computational fluid dynamic (CFD)model with initial and boundary conditions,used to predict the temperature and airflow inside the building. Fiveadditionalbuilding models were created, each adding different thermalcontrol and ventilation measures to the initial configuration. Based on the simulationsfrom CFD, a model with windows, ventilators, enclosures, and jet fans was selected as the bestcase. This ventilation systemwas then physically installed in the building. The performance of the real systemwas measured and compared to the predicted values. A good correlation was found between the numerical simulation andthe experimental results; the temperature differences between the values at 1.5 m, 3 m and 4.5 m above the groundwere 1.8%, 2.7% and 3.3%, respectively. The final ventilation solution was able to decrease the average temperature by 5.3°C and increase theaverage air velocity by 1.5 m/s. This studydemonstrates how numerical modeling and building ventilation solutions can be effectively used to solve the problem of high temperatures inan indoor industrial environment. |
