Numerical Analysis of Time Dependent Temperature Distribution inside a Solar Greenhouse
محورهای موضوعی : Mechanical EngineeringMahya Mohammadi 1 , Cyrus Aghanajafi 2
1 - Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
2 - Department of Mechanical Engineering,K. N. Toosi University of Technology, Iran
کلید واژه: Heat Transfer, Iran, Makran, Numerical Model, Surface-To-Surface Model, Solar Greenhouse, Time-Dependent Temperature Variations ,
چکیده مقاله :
In the present study, a numerical model is developed to predict time-dependent temperature variations inside a solar greenhouse by solving the continuity, Navier-Stokes, and energy Equations using ANSYS Fluent. This paper considers all heat transfer mechanisms into and out of the greenhouse, including convection, radiation, and conduction. The surface-to-surface model and SIMPLE method are employed to analyse thermal radiation between surfaces within the greenhouse and to couple pressure and velocity in solving the flow-field Equations numerically, respectively. This study specifically investigates the unsteady temperature distribution within a solar greenhouse located in Makran, Iran (latitude: 25.3054°N, longitude: 60.6411°E). The numerical method of this study is validated by comparing its results with experimental data. The high accuracy demonstrated by this approach supports the conclusion that the model can effectively study the flow field and thermal behaviour inside solar greenhouses. It is demonstrated that fluctuating boundary conditions cause the thermal conditions inside the greenhouse to vary dynamically over time. The results depict the spatial variation of temperature distribution at different levels from the soil surface at 13:00 on the first and second days of modelling in Makran. These insights are expected to play a crucial role in improving greenhouse design and management practices in agriculture.
In the present study, a numerical model is developed to predict time-dependent temperature variations inside a solar greenhouse by solving the continuity, Navier-Stokes, and energy Equations using ANSYS Fluent. This paper considers all heat transfer mechanisms into and out of the greenhouse, including convection, radiation, and conduction. The surface-to-surface model and SIMPLE method are employed to analyse thermal radiation between surfaces within the greenhouse and to couple pressure and velocity in solving the flow-field Equations numerically, respectively. This study specifically investigates the unsteady temperature distribution within a solar greenhouse located in Makran, Iran (latitude: 25.3054°N, longitude: 60.6411°E). The numerical method of this study is validated by comparing its results with experimental data. The high accuracy demonstrated by this approach supports the conclusion that the model can effectively study the flow field and thermal behaviour inside solar greenhouses. It is demonstrated that fluctuating boundary conditions cause the thermal conditions inside the greenhouse to vary dynamically over time. The results depict the spatial variation of temperature distribution at different levels from the soil surface at 13:00 on the first and second days of modelling in Makran. These insights are expected to play a crucial role in improving greenhouse design and management practices in agriculture.
[1] Tawalbeh, M., Aljaghoub, H., Alami, A., and Olabi, A., Selection Criteria of Cooling Technologies for Sustainable Greenhouses: A Comprehensive Review, Thermal Science and Engineering Progressy, Vol. 38, 2023, pp. 101666, https://doi.org/10.1016/j.tsep.2023.101666.
[2] Ding, D., Design Strategies of Passive Solar Greenhouses: A Bibliometric and Systematic Review, Ain Shams Engineering Journal, Vol. 15, No. 5, 2024, pp. 102680, https://doi.org/10.1016/j.asej.2024.102680.
[3] Garg, H. P., Advances in Solar Energy Technology, Volume 3 Heating, Agricultural and Photovoltaic Applications of Solar Energy (Softcover Reprint of the Original 1st ed. 1987), Springer Dordrecht, Netherlands, Chap. 5, 2011.
[4] Fatnassi, H., Bournet, P. E., Boulard, T., Roy, J. C., Molina-Aiz, F. D., and Zaaboul, R., Use of Computational Fluid Dynamic Tools to Model the Coupling of Plant Canopy Activity and Climate in Greenhouses and Closed Plant Growth Systems: A Review, Biosystems Engineering, Vol. 230, 2023, pp. 388–408, https://doi.org/10.1016/j.biosystemseng.2023.04.016.
[5] Okushima, L., Sase, S., and Nara, M., A Support System for Natural Ventilation Design of Greenhouse Based on Computational Aerodynamics, Acta Horticulturae, Vol. 248, No. 13, 1989, pp. 129–136, 10.17660/ActaHortic.1989.248.13.
[6] Sase, S., Takakura, T., and Nara, M., Wind Tunnel Testing on Airflow and Temperature Distribution of a Naturally Ventilated Greenhouse, Acta Horticulturae, Vol. 148, No. 42, 1984, pp. 329–336, 10.17660/ActaHortic.1984.148.42.
[7] Mistriotis, A., Bot, G. P., Boulard, T., Feuilloley, P., Papadakis, G., Picuno, P., and Scarascia-Mugozza, G., New Techniques in Greenhouse Ventilation Analysis, AGENG 96 International Conference on Agricultural Engineering, Madrid, 1996, pp. 392–393.
[8] Bartzanas, T., Boulard, T., and Kittas, C., Numerical Simulation of the Airflow and Temperature Distribution in a Tunnel Greenhouse Equipped with Insect-Proof Screen in the Openings, Computers and Electronics in Agriculture, Vol. 34, 2002, pp. 207–221, 10.1016/S0168-1699(01)00188-0.
[9] Molina-Aiz, F. D., Valera, D. L., and Alvarez, A. J., Measurement and Simulation of Climate inside Almerı́a-Type Greenhouses using Computational Fluid Dynamics, Agricultural and Forest Meteorology, Vol. 125, 2004, pp. 33–51, 10.1016/j.agrformet.2004.03.009.
[10] Tong, G., Christopher, D. M., and Li, B., Numerical Modelling of Temperature Variations in a Chinese Solar Greenhouse, Computers and Electronics in Agriculture, Vol. 68, 2009, pp. 129–139, 10.1016/j.compag.2009.05.004.
[11] Rodriguez, C. E. A., Velazquez, J. F., Heat and Mass Transfer - Advances in Science and Technology Applications, 1st ed., Intech Open, London, United Kingdom, Chap. 6, 2019.
[12] Sadodin, S., Kashani, T., Numerical Investigation of a Solar Greenhouse Tunnel Drier for Drying of Copra, arXiv preprint arXiv: 1102.2522, 2011, 10.48550/arXiv.1102.4522.
[13] Lokeswaran, S., Eswaramoorthy, M., An Experimental Analysis of a Solar Greenhouse Drier: Computational Fluid Dynamics (CFD) Validation, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, Vol. 35, No. 21, 2013, pp. 2062–2071, 10.1080/15567036.2010.532195.
[14] Deiana, A., Fabrizio, E., and Gerboni, R., Energy Performance Optimization of Typical Chinese Solar Greenhouse by Means of Dynamic Simulation, International Conference on Agriculture Engineering, Zurich, 2014, pp. 1–8.
[15] Chen, C., Ling, H., Zhai, Z., Li, Y., Yang, F., Han, F., and Wei, S., Thermal Performance of An Active-Passive Ventilation Wall with Phase Change Material in Solar Greenhouse, Applied Energy, Vol. 216, 2018, pp. 602–612, 10.1016/j.apenergy.2018.02.130.
[16] Tong, G., Christopher, D. M., Sensitivity Analysis of the Air Temperature Variations in a Chinese Solar Greenhouse, Acta Horticulturae, Vol. 1170, 2017, pp. 71–78, 10.17660/ActaHortic.2017.1170.7.
[17] He, X., Wang, J., Guo, S., Zhang, J., Wei, B., Sun, J., and Shu, S., Ventilation Optimization of Solar Greenhouse with Removable Back Walls Based on CFD, Computers and Electronics in Agriculture, Vol. 149, 2018, pp. 16–25, 10.1016/j.compag.2017.10.001.
[18] Esmaeli, H., Roshandel, R., Optimal Design for Solar Greenhouses Based on Climate Conditions, Renewable Energy, Vol. 145, 2020, pp. 1255–1265, 10.1016/j.renene.2019.06.090.
[19] Currie, I. G., Fundamental Mechanics of Fluid, 3rd ed., Marcel Dekker Inc., New York, USA, 2003, pp. 3–40.
[20] ANSYS, ANSYS Fluent User’s Guide, Ver. 12, Canonsburg, Pennsylvania, USA, 2009.
[21] Yang, D. K. W., Abakr, Y. A., and Ghazali, N. M., CFD Investigation of the Heat Transfer between an External Heat Source and the Regenerator of a Thermoacoustic Engine, Procedia Engineering, Vol. 56, 2013, pp. 835–841, 10.1016/j.proeng.2013.03.204.
[22] Berdahl, P., Fromberg, R., Thermal Radiance of Clear Skies, Solar Energy, Vol. 29, 1982, pp. 299–314.
[23] Alizadeh, A., The Principles of Applied Hydrology, 36th ed., Imam Reza (AS) University, Mashhad, Iran, 2013.
[24] Tiwari, G. N., Solar Energy Fundamentals, Design, Modelling and Applications, 1st ed. Narosa, New Delhi, India, 2002.
[25] Duffie, J. A., Beckman, W. A., Solar Engineering of Thermal Process, 4th ed., John Wiley & Sons, Inc. Hoboken, New Jersey, 2013.
[26] Padilla, R. V., Simplified Methodology for Designing Parabolic through Solar Power Plants, Ph.D. Dissertation, Department of Chemical and Biomedical Engineering, University of South Florida, Tampa, Fl, Apr. 2011.
[27] Garzoli, K., A Simple Greenhouse Climate Model, Acta Horticulturae, Vol. 174, 1985, pp. 393–400, 10.17660/ActaHortic.1985.174.52.
[28] Garzoli, K. V., Blackwell, I., An Analysis of the Nocturnal Heat Loss from a Single Skin Plastic Greenhouse, Journal of Agricultural Engineering Research, Vol. 26, No. 3, 1981, pp. 204–214, 10.1016/0021-8634(81)90105-0.
[29] Baille, A., Lopez, J. C., Bonachela, S., Gonzalez-Real, M. M., and Montero, J. I., Night Energy Balance in a Heated Low-Cost Plastic Greenhouse, Agricultural and Forest Meteorology, Vol. 137, 2006, pp. 107–118, 10.1016/j.agrformet.2006.03.008.
[30] Noorisameleh, Z., Gough W. A., The Challenge of Climate Change in Agriculture Management in the Persian Gulf-Oman Sea Coasts in Iran, Transforming Coastal Zone for Sustainable Food and Income Security. Springer, Cham, 2022, pp. 887–893.