with the collaboration of Iranian Society of Mechanical Engineers (ISME)

Document Type : Research Article

Authors

1 Agricultural Engineering Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran

2 Private Partner

Abstract

Introduction
Greenhouse technology is a flexible solution for sustainable year-round cultivation of many horticulture products, particularly in regions with adverse climate conditions or limited water and resources. Greenhouses are the structures that provide the desired conditions for plant growth throughout the all seasons. Plant growing and crop production in the greenhouses require proper ventilation conditions to provide optimal temperature, relative humidity and CO2 and to minimize the toxic gases. Ventilation method of greenhouse is depending on the design of greenhouse ventilation and cooling is usually done by evaporative pad and fan systems or fan and vent systems. Recently different designs, different structures and different layouts of fans, pads and vents are used in greenhouses. Layout of fans, pads and vents affects the performance of ventilation systems. The aim of this study was to layout the fans, pads and vents to provide best air flow in an octagonal greenhouse. 
Materials and Methods
In this study, three layouts of evaporative pad and fan systems and vents were modeled by computational fluid dynamics (CFD) method. For computational fluid dynamic of inside greenhouse airflow, the air flow was considered to be compressible. In order to estimate density, velocity and temperature, the Navier- Stokes equation included momentum, state, energy, continuity was used. For modeling the fluid flow, all necessary and dependent parameters of climate were considered based on the concentration and air pressure at the level of the open sea. Fluid flow equations were solved by finite volume technique. Three mentioned layouts of this study were 1- fans on the roof of the pyramids and vents on the wall of the pyramids, 2- pads and fans on the greenhouse side walls and 3- pads on the greenhouse side walls and fans on the roof of the pyramids (parallel pads). The performances of each arrangement can be improved by the speed of the fans, the size of the vents. The main equation in fluid flow simulation using CFD can be done by the following set of equations in which the continuity equation in the form of indicial notation can be presented as: 
Moreover, the momentum equation can be written by the following form:
 The equation 4 shows the state equation in a fluid flow interaction. All technical calculations and CFD simulations were done by Solidworks 2018 software.
Results and Discussion
The results showed that octagonal greenhouse by a specific form of the vents on the walls and fans on the roof could provide a circular air flow around the plants in the greenhouse. However, due to different powers of the fans, different velocity and different shape of air circulation could be achieved. When pads and fans are located on the greenhouse side walls, uniform air flow from the pads move uniformly throughout the greenhouse and then exit from opposite fans which causes desired air flow in the greenhouse. When the fans are located on the roof of the pyramids and pads are located on the side walls parallel, pad surface increases in the greenhouse and thus relative humidity increases and temperature decreases.
Conclusion
Because of the specific shape of the vents in octagonal greenhouse, different air velocity and different shape of air circulation will be achieved when different power of the fan is used. This causes that the octagonal greenhouse can be used in different climate conditions. When the fans are located on the roof of the pyramids and pads are located on the side walls, temperature decreases and relative humidity increases and this layout is desirable for hot and dry climate. An octagonal greenhouse can be used in different climate by using a suitable layout of fan, pad and vents.     

Keywords

Main Subjects

Open Access

©2021 The author(s). This article is licensed under Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source.

1. Alakashi, A. M., B. Basuno, and H. T. M. Elkamel. 2015. Comparison between finite volume method (FVM) based on inviscid and viscous flow with experimental and fluent results. Applied and Computational Mathematics 4 (1): 12-17.
2. Anonymous. 2003. Heating, ventilation and cooling greenhouses. ASAE Standard. EP406.4
3. Bartzanas, T., T. Boulard, and C. Kittas. 2004. Effect of vent arrangement on windward ventilation of a tunnel greenhouse. Biosystems Engineering 88 (4): 479-490.
4. Barzegar, R., and M.Yadegari. 2010. Production management in greenhouses. College of Applied Science and the Skill of Agriculture Press. 246 p. (In Farsi).
5. Boulard, T., J. C. Roy, J. B. Pouillard, H. Fatnassi, and A. Grisey. 2017. Modelling of micrometeorology, canopy transpiration and photosynthesis in a closed greenhouse using computational fluid dynamics. Biosystems Engineering 158: 110-133.
6. Buffington, D. E., R. A. Bucklin, R. W. Henley, and D. B. McConnell. 2016. Greenhouse Ventilation. AE-10 Series, UF/IFAS Extension, Gainesville, FL 32611.
7. Cheng, J., D. Qi, A. Katal, L. Wang, and T. Stathopoulos. 2018. Evaluating wind-driven natural ventilation potential for early building design. Journal of Wind Engineering and Industrial Aerodynamics 182: 160-169.
8. Chen, J., Y. Cai, F. Xu, H. Hu, and Q. Ai. 2014. Analysis and optimization of the fan-pad evaporative cooling system for greenhouse based on CFD. Advances in Mechanical Engineering. Article ID 712740, 8 pages.
9. Firoozi, S., M. J. Sheikhdavoodi, and S. M. Farani. 2014. Optimizing energy consumption efficiency for greenhouse cucumber production using the data envelopment analysis technique in Lorestan Province of Iran. International Journal of Advanced Biological and Biomedical Research 2: 636-649.
10. Franco, A., D. L. Valera, and A. Pena. 2014. Energy efficiency in greenhouse evaporative cooling techniques: cooling boxes versus cellulose pads. Energies 7: 1427-1447.
11. Fuchs, M., E. Dayan, and E. Presnov. 2006. Evaporative cooling of a ventilated greenhouse rose crop. Agricultural and Forest Meteorology 138 (1-4): 203-215.
12. Ghani, S., F. Bakochristou, E. M. A. E. Bialy, S. M. A. Gamaledin, M. M., Rashwan, A. M. Abdelhalim, and S. Ismail. 2019. Design challenges of agricultural greenhouses in hot and arid environments- A review. Engineering in Agriculture, Environment and Food 12 (1): 48-70.
13. Ghoulem, M., K. Moueddeb, E. Nehdi, R. Boukhanouf, and J. K. Calautit. 2019. Greenhouse design and cooling technologies for sustainable food cultivation in hot climates: Review of current practice and future status. Biosystems Engineering 183: 121-150.
14. He, J., F. Pan, C. S. Cai, A. Chowdhury, and F. Habte. 2018. Progressive failure analysis of low-rise timber buildings under extreme wind events using a DAD approach. Journal of Wind Engineering and Industrial Aerodynamics 182: 101-114.
15. Jafari, A. M., M. Solgi, and G. Zarei. 2019. Economic evaluation of artificial lighting in vegetable greenhouses (Case study: Cucumber production in hamadan province). Journal of Science and Technology of Greenhouse Culture 10 (1): 71-85. (In Farsi).
16. Katsoulas, N., A. Sapounas, F. De Zwart, J. A. Dieleman, and C. Stanghellini. 2015. Reducing ventilation requirements in semi-closed greenhouses increases water use efficiency. Agricultural Water Management 156: 90-99.
17. Kittas, C., T. Bartzanas, and A. Jaffrin. 2003. Temperature gradients in a partially shaded large greenhouse equipped with evaporative cooling pads. Biosystems Engineering 85 (1): 87-94.
18. Lee, I., and T. Short. 2001. Verification of computational fluid dynamic temperature simulations in a full-scale naturally ventilated greenhouse. Transactions of the ASAE 44 (1): 119-127.
19. Longo, R., M. Ferrarotti, C. G. Sanchez, M. Derudi, A. Parente. 2017. Advanced turbulence models and boundary conditions for flows around different configurations of ground-mounted buildings. Journal of Wind Engineering and Industrial Aerodynamics 167: 160-182.
20. Majdoubi, H., T. Boulard, H. Fatnassi, A. Senhaji, S. Elbahi, H. Demrati, M. Mouqallid, and L. Bouirden. 2016. Canary greenhouse CFD nocturnal climate simulation. Open Journal of Fluid Dynamics 6: 88-100.
21. Majeed, A., A. Zeeshan, and F. M. Noori. 2019. Numerical study of Darcy-Forchheimer model with activation energy subject to chemically reactive species and momentum slip of order two. AIP Advances 9, 045035 :1-11.
22. Mistriotis, A., G. P. A. Bot, P. Picuno, and G. Scarascia-Mugnozza. 1997. Analysis of the efficiency of greenhouse ventilation using computational fluid dynamics, Agricultural and Forest Meteorology 85 (3-4): 217-228.
23. Mobtaker, H. G., Y. Ajabshirchi, S. F. Ranjbar, and M. Matloobi. 2017. Investigating the effect of a north wall on energy consumption of an east- west oriented single span greenhouse. Journal of Agricultural Machinery 7 (2): 350-363. (In Farsi).
24. Ould Khaoua, S. A., P .E. Bournet, C. Migeon, T. Boulard, and G. Chasseriaux, Analysis of Greenhouse Ventilation Efficiency based on Computational Fluid Dynamics, Biosystems Engineering 95 (1): 83-98.
25. Pepper, D. A., A. Kassab, and E. Divo. 2014. An introduction to finite element, boundary element, and meshless methods with applications to heat transfer and fluid flow. New York, NY: ASME Press.
26. Rasheed, A., J. W. Lee, H. T. Kim, and H. W. Lee. 2019. Efficiency of Different Roof Vent Designs on Natural Ventilation of Single-Span Plastic Greenhouse. Protected Horticulture and Plant Factory 28 (3): 225-233.
27. Shirzadi, M., P. A. Mirzaei, and M. Naghashzadegan. 2017. Improvement of k-epsilon turbulence model for CFD simulation of atmospheric boundary layer around a high-rise building using stochasticoptimization and Monte Carlo Sampling technique. Journal of Wind Engineering and Industrial Aerodynamics 171: 366-379.
28. Schulein, E. 2010. Shock-wave control by permeable wake generators. in the 5th Flow Control Conference. Chicago, Illinois. USA.
29. Saberian, A., and S. M. Sajadiye. 2019. The effect of dynamic solar heat load on the greenhouse microclimate using CFD simulation. Renewable Energy 138: 722-737.
30. Santolini, E., B. Pulvirenti, S. Benni, L. Barbaresi, D. Torreggiani, and P. Tassinari. 2018. Numerical study of wind-driven natural ventilation in a greenhouse with Screens. Computers and Electronics in Agriculture 149: 41-53.
31. Sase, S. 2006. Air movement and climate uniformity in ventilated greenhouses. Acta Horticulture 719: 313-323.
32. Tong, G., D. M. Christopher, and G. Zhang. 2018. New insights on span selection for Chinese solar greenhouses using CFD Analyses. Computers and Electronics in Agriculture 149: 3-15.
33. Teitel, M., J. I. W. Montero, and E. J. Baeza. 2012. Greenhouse design: concepts and trends. Acta Horticulturae 952: 605-620.
34. Teitel, M., R. Atias, and M. Barak. 2019. Gradients of temperature, humidity and CO2 along a fan-ventilated greenhouse. Biosystems Engineering 106 (2): 166-174.
35. Velazquez, J. F., A. Rojano, A. Rishor, and W. O. Bustamante. 2015. Computational fluid dynamics achievements applied to optimal ccrop production in a greenhouse. New Perspectives in Fluid Dynamics. In Book: 76-100.
36. Walker, J. N. 1965. Predicting temperatures in ventilated greenhouses. Transactions of the ASAE 8 (3): 445-448.
37. Wilcox, D. C. 2006. Tubulence Modeling for CFD. DCW Industries.
38. William, B., and Jr. Brower. 1999. A Primer in Fluid MechanicsDynamics of Flows in One Space Dimension. CRC Press. P:24.
39. Zabeltitz, V. 1986. Greenhouse heating with solar energy. Energy in Agriculture 5: 111-120.
40. Zabeltitz, V. 1999. Greenhouse structure. In: Stanhill G, ZVI Enoch H Greenhouse ecosystems. Ecosystems of the world. Elsevier, Amsterdam, pp 20:17-69.
41. Zarei, G. 2017. Structural challenges of greenhouses in Iran. Strategic Research Journal of Agricultural Sciences and Natural Resources 2 (2): 149-162. (In Farsi).
42. Zhang, G., Z. Fu, M. Yang, X. Kim, Y. Dong, and X. Li. 2019. Nonlinear simulation for coupling modeling of air humidity and vent opening in Chinese solar greenhouse based on CFD. Computers and Electronics in Agriculture 162: 337-347.
43. Zhong, H. Y., D. D. Liu, D. Zhang, F. Y. Zhao, Y. Li, and H. Q. Wang. 2018. Two-dimensional numerical simulation of wind driven ventilation across a building enclosure with two free apertures on the rear side: Vortex shedding and “pumping flow mechanism”. Journal of Wind Engineering and Industrial Aerodynamics 179: 449-462.
44. Ziaaddini, A., H. Mortezapour, M. Shams, and A. Sarafi. 2019. Energy and exergy analysis of a greenhouse heating system equipped with a parabolic trough concentrator and a flat -plate solar collector. Journal of Agricultural Machinery 9 (2): 439-453. (In Farsi).
CAPTCHA Image