Abstract
This study presents the effect of openings on the ventilation rate of an experimental proposed octagonal greenhouse in a transient flow. Furthermore, it makes a comparison between the free ventilation of the proposed greenhouse with an Arc greenhouse with two-dimensional computational fluid dynamic simulation. To simulate airflow in the Arc greenhouse, we selected a one-side roof vent openings, butterfly-type side vent openings and one-side-face to face-roof vent openings as opening designs. Moreover, two octagonal greenhouse portions were selected due to changes in cross-sectional area. The results showed that the average wind speed in the greenhouse equipped with butterfly-type side vent opening was higher than other greenhouses, but the temperature of air inlet was distributed less slowly. To illustrate the accuracy, the computational fluid dynamic results, which include wind speed and temperature, were compared with the measured values from the proposed octagonal greenhouse. Moreover, this study investigates the effect of greenhouse shape and openings on turbulence formation and the effect of turbulence on greenhouse climate. After 10 min of simulation, the average total temperature in the greenhouses with butterfly-type side vent openings and one-side-face to face-roof vent openings models had still not reached the outside air temperature. Based on observations, like the average total temperature, the average total airflow velocity was also close in both sides of the octagonal greenhouse. The simulation results show that the speed of free ventilation and temperature distribution in the proposed octagonal greenhouse were higher than the Arc greenhouse with other openings design.
Similar content being viewed by others
Abbreviations
- \( u \) :
-
Wind Velocity, \({\text{m s}}^{ - 1}\)
- a :
-
Absorption coefficient
- \( P \) :
-
Fluid pressure, Pa
- \( h_{s} \) :
-
Sensible enthalpy, \( {\text{J/kg}} \)
- \( \rho \) :
-
Density, \( {\text{kg/m}}^{3} \)
- \( T \) :
-
Temperature, \({\text{K}}\)
- \( C_{\varepsilon 1} , C_{\varepsilon 2} \) :
-
Adjustable constant
- t :
-
Time, s
- \( \sigma_{\varepsilon } ,\sigma_{k} \) :
-
Prandtl numbers
- \( \varepsilon \) :
-
Turbulent dissipation rate, J/(kg s)
- \( \mu \) :
-
Dynamic viscosity, Pa s
- \( \mu_{T} \) :
-
Turbulence dynamic viscosity, Pa s
- \( \delta_{w}^{ + } \) :
-
Distance from the wall, m
- \( C_{\mu } \) :
-
Proportional number
- \( I_{T} \) :
-
Initial turbulence intensity, %
- \( U_{ref} \) :
-
Reference velocity scale, \( {\text{m s}}^{ - 1} \)
- \( \delta_{\text{w}}^{ + } \) :
-
Dimensionless wall offset
- \( C_{p} \) :
-
Specific heat capacity, J/(kg K)
- \( k_{ef} \) :
-
Effective conductivity, W/m K
- κ:
-
Von Karman constant
- \( \varvec{J}_{D} \) :
-
Diffusion flux of species
- \( \varPhi \) :
-
Phase function
- MAPE:
-
Mean absolute error
- EF :
-
Model efficiency
- RMSE:
-
Root-mean-square error
- \( u_{\tau } \) :
-
Friction velocity, \( {\text{m s}}^{ - 1} \)
- \( u^{ + } \) :
-
Tangential velocity in viscous units, dimensionless
- \( \varvec{g} \) :
-
Gravitational acceleration, \( {\text{m}}\;{\text{s}}^{ - 2} \)
- n:
-
Refractive index
- \( \varepsilon \) :
-
Surface emissivity, J/kg K
- \( \eta \) :
-
Dynamic viscosity function of temperature, \( \left( {1/K} \right) \) Pa.s
- \( \varvec{q} \) :
-
Convective heat flux, \( {\text{W/m}}^{2} \)
- \( {\mathbf{n}} \) :
-
Normal direction
- \( T^{ + } \) :
-
Dimensionless temperature
- \( \tau_{ef} \) :
-
Effective shear viscosity
- \( \sigma \) :
-
Stefan–Boltzmann constant
- \( \varOmega^{\prime} \) :
-
Solid angle
- \( S_{\text{v}} \) :
-
Volumetric heat source, \( {\text{W/m}}^{3} \)
- \( k \) :
-
Turbulence kinetic energy, J/kg
- \( L_{T} \) :
-
Turbulence characteristic length
- \( \vec{s}^{'} \) :
-
Scattering direction vector
- \( \vec{s} \) :
-
Solar radiation vector
- \( {\mathbf{u}}_{\text{tang}} \) :
-
Tangential velocity, \( {\text{m}}\;{\text{s}}^{ - 1} \)
- \( I \) :
-
Radiation intensity, \( {\text{Wm}}^{ - 2} \)
- \( {\mathbf{F}} \) :
-
Volume force vector, \( {\text{N/m}}^{2} \)
- \( T_{\text{w}} \) :
-
Temperature of the solid at the wall, K
- \( T \) :
-
Absolute temperature, K
- \( \vec{r} \) :
-
Solar position vector
- \( \sigma_{s} \) :
-
Scattering coefficient
References
Abe K, Kondoh T, Nagano Y (1994) A new turbulence model for predicting fluid flow and heat transfer in separating and reattaching flows—I. Flow field calculations. Int J Heat Mass Transfer 37:139–151
Baptista FJF (2007) Modelling the climate in unheated tomato greenhouses and predicting Botrytis cinerea infection, Ph.D. thesis, Univerisade de E´ vora, Portugal
Boulard T, Roy JC, Pouillard JB, Fatnassi H, Grisey A (2017) Modelling of micrometeorology, canopy transpiration and photosynthesis in a closed greenhouse using computational fluid dynamics. Biosyst Eng 158:110–133
Chen HC, Patel VC (1988) Near-wall turbulence models for complex flows including separation. AIAA J 26:641–648
Chu CR, Lan TW (2019) Effectiveness of ridge vent to wind-driven natural ventilation in monoslope multi-span greenhouses. Biosyst Eng 186:279–292
Chu CR, Lan TW, Tasi RK, Wu TR, Yang CK (2017) Wind-driven natural ventilation of greenhouses with vegetation. Biosyst Eng 164:221–234
Coppola G, Capuano F, Pirozzoli S, de Luca L (2019) Numerically stable formulations of convective terms for turbulent compressible flows. J Comput Phys 16:1–28
Esmaeli H, Roshandel R (2020) Optimal design for solar greenhouses based on climate conditions. Renew Energy 145:1255–1265
Fidaros DK, Baxevanou CA, Bartzanas T, Kittas C (2010) Numerical simulation of thermal behavior of a ventilated arc greenhouse during a solar day. Renew Energy 35:1380–1386
Gholamalizadeh E, Kim MH (2014) Three-dimensional CFD analysis for simulating the greenhouse effect in solar chimney power plants using a two-band radiation model. Renew Energy 63:498–506
Guzmán CH, Carrera JL, Durán HA (2019) Implementation of virtual sensors for monitoring temperature in greenhouses using CFD and control. J Sens 19:1–13
Hauke G (2001) Simple stabilizing matrices for the computation of compressible flows in primitive variables. Comput Meth Appl Mech Eng 190:6881–6893
He X, Wang J, Guo S, Zhang J, Wei B, Sun J, Shu S (2018) Ventilation optimization of solar greenhouse with removable back walls based on CFD. Comput Electron Agric 149:16–25
Hong SW, Exadaktylos V, Lee I, Amon T, Youssef A, Norton T, Berckmans D (2017) Validation of an open source CFD code to simulate natural ventilation for agricultural buildings. Comput Electron Agric 138:80–91
Joudi KA, Farhan AA (2015) A dynamic model and an experimental study for the internal air and soil temperatures in an innovative greenhouse, Energy Convers. Manage. 91:76–82
Kays WM, Crawford ME (1993) Convective heat and mass transfer, 3rd edn. McGraw Hill, New York
Khlifi H, Lili T (2011) A Reynolds Stress Closure for Compressible Turbulent Flow, Int. Conference on Boundary and Interior Layers. J Appl Fluid Mech 4:99–104
Kuroyanagi T (2017) Investigating air leakage and wind pressure coefficients of single-span plastic greenhouses using computational fluid dynamics. Biosyst Eng 163:15–27
Kuzmin D, Mierka O (2006) On the implementation of the k − ε turbulence model in incompressible flow solvers based on a finite element discretization, Int. Conference on Boundary and Interior Layers. University of Gottingen, Germany
Lee I, Sase S, Okushima L, Ikeguchi A, Choi K, Yun J (2003) A wind tunnel study of natural ventilation for multi-span greenhouse scale model using two-dimensional particle image velocimetry (PIV). Am Soc Agricu Eng 46:763–772
Lee SY, Lee I, Kim RW (2018) Evaluation of wind-driven natural ventilation of single-span greenhouses built on reclaimed coastal land. Biosyst Eng 171:120–142
Li A, Huang L, Zhang T (2017) Field test and analysis of microclimate in naturally ventilated single-sloped greenhouses. Energy Build 138:479–489
Lu W, Zhang Y, Fang H, Ke X, Yang Q (2017) Modelling and experimental verification of the thermal performance of an active solar heat storage-release system in a Chinese solar greenhouse. Biosyst Eng 160:12–24
Maher D, Sami A (2018) CFD modelling of air temperature distribution inside tunnel greenhouse in semi-arid region. Int J Eng Syst Modell Simul 10:112–124
Martinez JL, Claraco JLB, Alonso JP, Ferre AJC (2018) Distributed network for measuring climatic parameters in heterogeneous environments. Comput Electron Agric 145:105–121
McCartney L, Lefsrud MG (2018) Field trials of the natural ventilation augmented cooling (NVAC) greenhouse. Biosyst Eng 174:159–172
McCartney L, Orsat V, Lefsrud MG (2018) An experimental study of the cooling performance and airflow patterns in a model Natural Ventilation Augmented Cooling (NVAC) greenhouse. Biosyst Eng 174:173–189
Mohammadi B, Ranjbar SF, Ajabshirchi Y (2018) Application of dynamic model to predict some inside environment variables in a semi-solar greenhouse. Inf Process Agricu 5:279–288
Molina-Aiz FD, Fatnassi H, Boulard T, Roy JC, Valera DL (2010) Comparison of finite element and finite volume methods for simulation of natural ventilation in greenhouses. Comput Electron Agric 72:69–86
Nebbali R, Roy JC, Boulard T (2012) Dynamic simulation of the distributed radiative and convective climate within a cropped greenhouse. Renew Energy 43:111–129
Pakari A, Ghani S (2019) Airflow assessment in a naturally ventilated greenhouse equipped with wind towers: numerical simulation and wind tunnel experiments. Energ Buildings. 199:1–11
Perén JI, Hooff TV, Leite BCC, Blocken B (2015) CFD simulation of wind-driven upward cross ventilation and its enhancement in long buildings: impact of single-span versus double-span leeward sawtooth roof and opening ratio. Build Environ 96:142–156
Piscia D, Montero JI, Baeza E, Bailey BJ (2012) A CFD greenhouse night-time condensation model. Biosyst Eng 111:141–154
Rodrígueza EF, Kubota C, Giacomelli GA, Tignor ME, Wilson SB, McMahon M (2010) Dynamic modeling and simulation of greenhouse environments under several cenarios: a web-based application. Comput Electron Agric 70:105–116
Saberian A, Sajadiye SM (2019) The effect of dynamic solar heat load on the greenhouse microclimate using CFD simulation. Renew Energy 138:722–737
Singh G, Singh PP, Lubana PPS, Singh KG (2006) Formulation and validation of a mathematical model of the microclimate of a greenhouse. Renew Energy 31:1541–1560
Singh MC, Singh JP, Singh KG (2018) Development of a microclimate model for prediction of temperatures inside a naturally ventilated greenhouse under cucumber crop in soilless media. Comput Electron Agric 154:227–238
Syed AM, Hachem C (2019) Net-zero energy and energy sharing potential of retail—greenhouse complex. J Build Eng 24:100736
Teitel M, Ziskind G, Liran O, Dubovsky V, Letan R (2008) Effect of wind direction on greenhouse ventilation rate, airflow patterns and temperature distributions. Biosyst Eng 101:351–369
Tong G, Christopher DM, Zhang G (2018) New insights on span selection for Chinese solar greenhouses using CFD analyses. Comput Electron Agric 149:3–15
Velázquez JF, Ojeda W, Rojano A (2016) Comparative Analysis of the air flow in different cultures inside a greenhouse using CFD, Environ Sci Eng 411–418
Villagran EA, Baeza Romero EJ, Bojaca CR (2019) Transient CFD analysis of the natural ventilation of three types of greenhouses used for agricultural production in a tropical mountain climate. Biosyst Eng 188:288–304
Wilcox DC (1998) Turbulence Modeling for CFD, 2nd ed. DCW Industries
Zhang X, Wang H, Zou Z, Wang S (2016) CFD and weighted entropy based simulation and optimization of Chinese Solar Greenhouse temperature distribution. Biosyst Eng 142:12–26
Zhang G, Fu Z, Yang M, Liu X, Dong Y, Li X (2019) Nonlinear simulation for coupling modeling of air humidity and vent opening in Chinese solar greenhouse based on CFD. Comput Electron Agric 162:337–347
Acknowledgement
This research was supported by Abtin Organic Company and grant number: 24-14-14-057-971006. We would like to show our gratitude to the colleagues in Agricultural Engineering Research Institute for their valuable support throughout this study.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The author declare that, he has no any conflict of interest.
Additional information
Editorial responsibility: Parveen Fatemeh Rupani.
Rights and permissions
About this article
Cite this article
Moghaddam, J.J. The effect of turbulence on natural ventilation of a proposed octagonal greenhouse in a transient flow. Int. J. Environ. Sci. Technol. 18, 2181–2196 (2021). https://doi.org/10.1007/s13762-020-02955-y
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13762-020-02955-y