Numerical simulation of thermal behavior of a ventilated arc greenhouse during a solar day

Fidaros, D.; Baxevanou, Catherine; Bartzanas, Thomas; Kittas, C.

doi:10.1016/j.renene.2009.11.013

Cited by 79 publications

(61 citation statements)

References 11 publications

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“…Investigations that seek for a greater understanding of the interactions among climatic variables are increasing. Studies such as those of Hooff, 2010;Teittel, 2010 andFidaros, 2010, evaluating geometries, have increased in the last year. Figure 11 shows the frequency of climatic variables studied during the period from the year 2005 to 2009 in the studies of CFD models in greenhouses.…”

Section: Main Results Of Cfd Models In Greenhousesmentioning

confidence: 99%

“…Other studies evaluated the use of pigments (Elsner et al, 2008) taking into account the convection, and thermal gradients. Most of the recent studies developed 3D CFD models, some of which reported the use of models of turbulence and buoyancy, which appear more often during the past two years (Fidaros, 2010;Defraeye, 2010;Norton, 2010;Majdoubi, 2009). By taking into account turbulence, CDF models can make simulations more accurate, in turn increasing the processing and memory requirements for computing resources.…”

Section: Main Results Of Cfd Models In Greenhousesmentioning

confidence: 99%

“…Many studies consider the growing space, some of which are designed to measure phenomena based on their influence on the development and crop yield. Other studies are focused on the influence of crops on the other elements, such as temperature, relative humidity, CO 2 concentration and air flow, where it is necessary to model the space occupied by the crop by using porous media approach (Fidaros et al ., 2010). Other investigations measure biological phenomena such as evapotranspiration and Photosynthetically Active solar Radiation (PAR) by using indirect measures of climatic variables (Baxevanou, 2007;Sun, 2008).…”

Section: Main Results Of Cfd Models In Greenhousesmentioning

confidence: 99%

“…Majdoubi et al (2009) showed that the buoyancy forces induced by air temperature and increased humidity result in loops of air between the crop and the roof windows, which in turn tend to accelerate the pace of removal of heat and water vapor, enhancing indoor climate. Fidaros et al (2010) studied turbulence in Greek greenhouses and found that external temperature variation is very important because internal temperature is determined by convection induced by the input current. The housing area had a higher circulation in the center of the greenhouse near the deck and in the corners of the ground, where the effect of the input current is weak.…”

Section: Turbulence and Buoyancymentioning

confidence: 99%

“…Endalew et al (2009) performed CFD modeling of a plant with leaves and branches of the canopy, using turbulent energy equations in porous sub-domains created around the branches. Fidaros et al (2010) simulated a greenhouse tomato crop as a porous medium so as to model radiation transport by discrete ordinates (DO). According to Teitel et al (2010a), when applying the porous medium approach, the Forchheimer equation is often used, which gives rise to erroneous results with respect to the pressure drop through screens.…”

Section: Incorporation Crop Effects and Crop Modelingmentioning

confidence: 99%

See 4 more Smart Citations

Advances in Computational Fluid Dynamics Applied to the Greenhouse Environment

Flores-Velázquez¹,

Torre-Gea²,

Rico-García³

et al. 2012

Applied Computational Fluid Dynamics

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Section: Main Results Of Cfd Models In Greenhousesmentioning

confidence: 99%

Section: Main Results Of Cfd Models In Greenhousesmentioning

confidence: 99%

Section: Main Results Of Cfd Models In Greenhousesmentioning

confidence: 99%

Section: Turbulence and Buoyancymentioning

confidence: 99%

Section: Incorporation Crop Effects and Crop Modelingmentioning

confidence: 99%

See 3 more Smart Citations

Advances in Computational Fluid Dynamics Applied to the Greenhouse Environment

Flores-Velázquez¹,

Torre-Gea²,

Rico-García³

et al. 2012

Applied Computational Fluid Dynamics

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Computational fluid dynamics analysis of heat transfer in a greenhouse solar dryer “chapel‐type” coupled to an air solar heating system

Román-Roldán

López‐Ortiz

Ituna-Yudonago

et al. 2019

Energy Science & Engineering

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The distribution of turbulent kinetic energy (TKE), temperature, and velocity of humid air inside the greenhouse solar dryer (GHSD) was numerically investigated using 3D CFD ANSYS FLUENT code. The effect of solar radiation was coupled with the energy equations using the discrete ordinate model. Numerical simulations were based on two geometric models: Real model and model with reduced height, the solution was in good agreement with experimental data of temperature. The results of the real model showed that the TKE is ranged between 1.27 m2/s2 and 6 m2/s2 with an average of about 1.6 m2/s2 for the entire greenhouse dryer (GHD) volume. The greatest TKE magnitude is in the paths of the diffusers, which caused a temperature drop of about 2 K in the areas near the walls. Consequently, almost homogeneous temperature distribution was obtained in the entire volume of the GHD, although the average temperature was 315 K, and a gradient with respect to ambient temperature was of 14 K, that is, suitable for drying. Also, the average air velocity at 1 m height was 0.71 m/s, which is a value near the lowest limit (0.6 m/s) of forced convection drying. The improvement in the GHD by 36.5% volume reduction allowed an increase in the average TKE of 3.8 m2/s2 (2.4 times more than the previous one) located in the middle of the greenhouse; the average temperature reached 316.5 K with a gradient of 15.5 K, which represents an increase of 1.5 K (11%) compared to the real geometric model. The air velocity at 1 m height increased to 0.9 m/s in the improved geometric model (a growth of 35.7% compared with the previous geometry). More than 95% of the improved GHD volume has a uniform temperature, which is very suitable for a good quality drying process with higher speed.

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Effect of the greenhouse design on the thermal behavior and microclimate distribution in greenhouses installed under semi‐arid climate

Mesmoudi

Meguallati

Bournet

2017

Heat Trans. Asian Res.

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Greenhouse design and cover material properties may strongly impact greenhouse energy. To study the effect of these parameters, three typical unheated agricultural buildings equipped with rows of canopy were considered, and two‐dimensional simulations were conducted using the discrete ordinate model for simulating radiative transfers. Experiments were conducted to establish the boundary conditions and to validate the model. Two parametric studies were carried out: one for the nocturnal period when the energy performance of each type of greenhouse was investigated, and one for the diurnal period, when the sun path was simulated taking into account the type of the cover, its spectral optical and thermal properties. Results indicate that for the diurnal period, and for both plastic greenhouses equipped with fully opened side vents, the air located between the rows of canopy and ground surfaces remained very slow, not exceeding 0.2 m/s; for the Venlo glasshouse, the recirculation loop situated above the crop improved the air mixing and induced a good homogenization. Results also indicate that the cover material with the highest absorptivity, deteriorated the natural ventilation, increasing the air temperature by convection, enhancing local air temperature favoring the development of a secondary recirculation, and reduced the available photosynthetically active radiation. Concerning the nocturnal period, the ambient air temperature in the tunnel and in the vertical wall of the greenhouse was relatively homogenous and warmer than the temperature in the Venlo greenhouse. During the nocturnal period, the plastic greenhouse (in particular the one with the tunnel) performed better in regard to the homogenization of the climate and thermal energy storage.

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Numerical simulation of thermal behavior of a ventilated arc greenhouse during a solar day

Cited by 79 publications

References 11 publications

Advances in Computational Fluid Dynamics Applied to the Greenhouse Environment

Advances in Computational Fluid Dynamics Applied to the Greenhouse Environment

Computational fluid dynamics analysis of heat transfer in a greenhouse solar dryer “chapel‐type” coupled to an air solar heating system

Effect of the greenhouse design on the thermal behavior and microclimate distribution in greenhouses installed under semi‐arid climate

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