پیوندهای مفید
آمار
| تعداد نشریات | 9 |
| تعداد شمارهها | 447 |
| تعداد مقالات | 5,734 |
| تعداد مشاهده مقاله | 8,047,192 |
| تعداد دریافت فایل اصل مقاله | 6,547,388 |
The Role of Fresh Air Nozzle Orientation and Warehouse Dimensions in Modulating Airflow and Temperature in Pharmaceutical Warehouses: A Comparative Study | ||
| AUT Journal of Mechanical Engineering | ||
| دوره 9، شماره 4، دی 2025، صفحه 343-356 اصل مقاله (1.47 M) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22060/ajme.2025.23826.6160 | ||
| نویسندگان | ||
| Hamed Safikhani1؛ Somayeh Davoodabadi Farahani* 2؛ Hadi Bagheri Haghighi1 | ||
| 1Department of Mechanical Engineering, Faculty of Engineering, Arak University, Iran | ||
| 2School of Mechanical Engineering, Arak University of Technology, Arak, Iran | ||
| چکیده | ||
| This study investigates the effects of fresh air inlet angle, warehouse height, and shelf occupancy on airflow and temperature distribution in pharmaceutical warehouses through parametric and multi-objective optimization analyses. A two-dimensional model of the warehouse is developed and analyzed using Computational Fluid Dynamics via ANSYS Fluent software. Results indicate that increasing the warehouse height from 3 to 5 and 7 meters leads to reductions in average temperature by 1.4% and 2.2%, respectively, and temperature variation by approximately 32% and 42.2%. Lower shelf occupancy provides the most favorable thermal conditions, while medium occupancy results in the poorest performance in terms of both average temperature and uniformity. As the air inlet angle increases from vertical, temperature rises and uniformity deteriorates. Horizontally, shelves farther from the symmetry axis exhibit higher temperatures and less uniformity. Vertically, middle shelves show better thermal performance than upper or lower ones. Additionally, increasing the warehouse height reduces average air velocity. Optimization results reveal the best configuration by balancing temperature and its uniformity. These findings provide insights into improving the thermal environment of pharmaceutical storage spaces to preserve drug quality and reduce energy consumption, guiding design improvements for Heating, Ventilation, and Air Conditioning systems in such facilities. | ||
| کلیدواژهها | ||
| Pharmaceutical Warehouse؛ Temperature؛ Air Distribution؛ CFD؛ Multi-Objective Optimization | ||
| مراجع | ||
|
[1] C.-G. Popovici, V.S. Hudişteanu, Numerical simulation of HVAC system functionality in a sociocultural building, Procedia technology, 22 (2016) 535-542.
[2] C.G. Popovici, HVAC system functionality simulation using ANSYS-Fluent, Energy Procedia, 112 (2017) 360-365.
[3] S.-y. Park, S. Cho, J. Ahn, Improving the quality of building spaces that are planned mainly on loads rather than residents: Human comfort and energy savings for warehouses, Energy and Buildings, 178 (2018) 38-48.
[4] X. Shan, N. Luo, K. Sun, T. Hong, Y.-K. Lee, W.-Z. Lu, Coupling CFD and building energy modelling to optimize the operation of a large open office space for occupant comfort, Sustainable Cities and Society, 60 (2020) 102257.
[5] M. Khodabandeh, N. Pourmahmoud, I.M. Iraj Mirzaee, Numerical investigation of the effect of air distribution methods on the cooling capacity in data centers, Journal of Modeling in Engineering, 20(68) (2022) 35-46.
[6] M. Taheri, S.A. Zolfaghari, M. Afzalian, H. Hassanzadeh, The influence of air inlet angle in swirl diffusers of UFAD system on distribution and deposition of indoor particles, Building and Environment, 191 (2021) 107613.
[7] L. Angeles-Rodríguez, C. Celis, Numerical study and optimization of air-conditioning systems grilles used in indoor environments, International Journal of Energy and Environmental Engineering, 12 (2021) 787-804.
[8] L.L. Wang, W. Li, A study of thermal destratification for large warehouse energy savings, Energy and Buildings, 153 (2017) 126-135.
[9] G. Pichurov, P. Stankov, D. Markov, Hvac control based on CFD analysis of room airflow, IFAC Proceedings Volumes, 39(19) (2006) 213-218.
[10] T. Kim, S. Kato, S. Murakami, Indoor cooling/heating load analysis based on coupled simulation of convection, radiation and HVAC control, Building and Environment, 36(7) (2001) 901-908.
[11] A. Garnier, J. Eynard, M. Caussanel, S. Grieu, Predictive control of multizone HVAC systems in non-residential buildings, IFAC Proceedings Volumes, 47(3) (2014) 12080-12085.
[12] E. Naboni, D.S.-H. Lee, K. Fabbri, Thermal comfort-CFD maps for architectural interior design, Procedia engineering, 180 (2017) 110-117.
[13] G. Heidarinejad, M.H. Fathollahzadeh, H. Pasdar Shahri, Investigating the effect of return air vent height on energy consumption, thermal comfort, and air quality in under floor air distribution system, Modares Mechanical Engineering, 14(16) (2015) 125-133.
[14] Z. Imani Nejad, A.R. Zolfaghari, M. Maerefat, H. Pasdar Shahri, Influence of air inlet diffuser layout on indoor air quality and occupants’ thermal comfort in a room with baseboard heating system, Journal of Solid and Fluid Mechanics, 6(3) (2016) 261-270.
[15] M. Aminzadeh, A. Safavinejad, A.R. Zolfaghari, Analysis the influence of air outlet opening’s location in an industrial environment with high temperature radiant heaters on uniformity of thermal conditions and distribution of the contaminant in presence of asymmetric flow field, Journal of Solid and Fluid Mechanics, 6(3) (2016) 249-260.
[16] M. Kanaan, CFD optimization of return air ratio and use of upper room UVGI in combined HVAC and heat recovery system, Case Studies in Thermal Engineering, 15 (2019) 100535.
[17] J. Martinez-Almansa, A. Fernandez-Gutierrez, L. Parras, C. Del Pino, Numerical and experimental study of a HVAC wall diffuser, Building and environment, 80 (2014) 1-10.
[18] S.H. Ho, L. Rosario, M.M. Rahman, Numerical simulation of temperature and velocity in a refrigerated warehouse, International Journal of Refrigeration, 33(5) (2010) 1015-1025.
[19] H. Talbot, The Design and Economic Optimization of a Warehouse Refrigeration System, (2022).
[20] C. Concilio, P.A. Benito, C.P. Ramírez, G. Viccione, CFD simulation study and experimental analysis of indoor air stratification in an unventilated classroom: a case study in Spain, Heliyon, (2024) e32721.
[21] R. Bishnoi, K. Aharwal, Experimental investigation of air flow field and cooling heterogeneity in a refrigerated room, Engineering Science and Technology, an International Journal, 23(6) (2020) 1434-1443.
[22] N. Elias, N.M. Yahya, E.H. Sing, Numerical analysis of fuzzy logic temperature and humidity control system in pharmaceutical warehouse using MATLAB fuzzy toolbox, in: Intelligent Manufacturing & Mechatronics: Proceedings of Symposium, 29 January 2018, Pekan, Pahang, Malaysia, Springer, 2018, pp. 623-629.
[23] I. Tabašević, D.D. Milanović, V.S. Brkić, M. Misita, Temperature Mapping in Pharmaceutical Warehouse–Framework for Pharmacy 4.0, in: X International Conference Industrial Engineering and Environmental Protection, 2020, pp. 08-09.
[24] J.E. Pachano, M.F.-V. Iglesias, J.C. Saiz, C.F. Bandera, Two-stage multi-step energy model calibration of the cooling systems of a large-space commercial building, Applied Thermal Engineering, 230 (2023) 120638.
[25] L. Zhang, X. Yu, Q. Lv, F. Cao, X. Wang, Study of transient indoor temperature for a HVAC room using a modified CFD method, Energy procedia, 160 (2019) 420-427.
[26] G.L. Brunetti, Low-energy cooling of a medicine warehouse in a hot humid climate, in: The 29th AIVC Concerence in 2008. Advanced Building Ventilation and Environmental Technology for Addressing Climate Change Issues, JPN, 2008, pp. 225-230.
[27] L. Shao, S. Riffat, Accuracy of CFD for predicting pressure losses in HVAC duct fittings, Applied energy, 51(3) (1995) 233-248.
[28] T. Yamamoto, A. Ozaki, K. Aratsu, R. Fukui, Energy simulation and CFD coupled analysis for the optimal operation of combined convection and radiant air conditioning considering dehumidification, Heliyon, 9(7) (2023).
[29] F. Ascione, N. Bianco, R.F. De Masi, G.P. Vanoli, Rehabilitation of the building envelope of hospitals: Achievable energy savings and microclimatic control on varying the HVAC systems in Mediterranean climates, Energy and Buildings, 60 (2013) 125-138.
[30] C.C. Corrigan, S.A. Ikonnikova, A review of the use of AI in the mining industry: Insights and ethical considerations for multi-objective optimization, The Extractive Industries and Society, 17 (2024) 101440.
[31] J. Zhao, D. Liu, X. Yuan, P. Wang, Model predictive control for the ice-storage air-conditioning system coupled with multi-objective optimization, Applied Thermal Engineering, 243 (2024) 122595.
[32] S.D. Farahani, M. Shadi, Optimization-decision making of roughened solar air heaters with impingement jets based on 3E analysis, International Communications in Heat and Mass Transfer, 129 (2021) 105742.
[33] S. Murakami, Overview of turbulence models applied in CWE–1997, Journal of Wind Engineering and Industrial Aerodynamics, 74 (1998) 1-24.
[34] T.L. Bergman, A.S. Lavine, F.P. Incropera, D.P. DeWitt, Introduction to heat transfer, John Wiley & Sons, 2011.
[35] A. Moazeni, R. Khorsand, M. Ramezanpour, Dynamic resource allocation using an adaptive multi-objective teaching-learning based optimization algorithm in cloud, IEEE Access, 11 (2023) 23407-23419. | ||
|
آمار تعداد مشاهده مقاله: 791 تعداد دریافت فایل اصل مقاله: 407 |
||