Experimental and CFD Results on the Co2 Distribution in a Semi Closed Greenhouse

Roy, J.C.; Pouillard, J.B.; Boulard, T.; Fatnassi, H.; Grisey, A.

doi:10.17660/actahortic.2014.1037.131

Cited by 19 publications

(16 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Time course for the simulated (8:00 am to 10:00 pm) and measured (8:00 am to 7:00 pm) mean temperature is presented on Figure 4. As previously noticed for CO2 concentration (Roy et al, 2013) simulations and measurements are in good agreement for closing vents periods (before 12:00 am and after 16:30 pm). 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00…”

Section: Resultssupporting

confidence: 87%

“…Likewise for the CO2 concentration evolution that was described in a previous paper (Roy et al, 2013) we present a set of steady-state simulations with 30 minutes intervals for the day of June 30 th 2011 between 8:00 am and 10:00 pm. The greenhouse was kept closed during the main part of the day except between 12:00 am and 4:30 pm when the outside temperature became too high to maintain reasonable conditions inside the greenhouse despite the working of the air conditioning device.…”

Section: Resultsmentioning

confidence: 99%

“…The description of the semi-closed greenhouse system and the distribution of the experimental sensors has been presented in previous papers (Grisey et al, 2011;Roy et al, 2013) and will not be repeated in details here. The air conditioning device is made up of a reversible heat pump that allows the transfer of heat between the water storage tanks and the conditioned air.…”

Section: The Greenhousementioning

confidence: 99%

“…Concerning the inside climate distribution, both experiments and CFD simulations have been performed and the first results regarding the distribution of temperature and humidity have been presented in a former paper (Pouillard et al, 2011). Measurements and simulations of the evolution of the CO2 concentration have also been performed for a summer day with the use on a photosynthesis model of the crop (Roy et al, 2013). Temperature and humidity distributions have also been investigated for this summer day and are presented and compared for both closed and opened vents periods.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

CFD determination of the climate distribution in a semi closed greenhouse with air cooling

Roy¹,

Fatnassi²,

Boulard³

et al. 2017

Acta Hortic.

Self Cite

View full text Add to dashboard Cite

This paper presents the results of the simulation of the temperature and air humidity distributions in a 960 m² semi closed greenhouse with a tomato crop and equipped with fourteen air cooling and dehumidifying ducts. These units are distributed between the crop rows and the sucking inlets are alternately located at high or low locations. The computational model of the aerial domain was developed using the Fluent Computational Fluid Dynamics code. For simulating radiative exchanges, a Discrete Ordinates (DO) model was considered. Sensible, latent and radiative heat transfers together with crop activity (stomatal resistance) and induced water vapour transfers were computed within the crop stands using a porous and semi-transparent medium model. In order to limit both computing time and mesh size, the geometric domain was limited to the greenhouse walls. Experimental conditions for temperature and humidity conditions were applied to the outlets of the ducts. Air leakages and airflow through the vents during the opening period were simulated with sink terms located on the mesh connected with the roof and the walls. Simulations were performed for a single summer day from 8:00 am to 22:00 pm with a 30 minutes time step. A new set of boundary values was applied before each simulation. Simulated and measured values of temperature and water vapour concentration inside the greenhouse are presented and commented together with a sensibility study on the influence of the air conditioning device.

show abstract

Section: Resultssupporting

confidence: 87%

Section: Resultsmentioning

confidence: 99%

Section: The Greenhousementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

CFD determination of the climate distribution in a semi closed greenhouse with air cooling

Roy¹,

Fatnassi²,

Boulard³

et al. 2017

Acta Hortic.

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, research based on computa-tional fluid dynamics (CFD) simulations of a greenhouse has mainly focused on the greenhouse environment in relation to the crop growth demand [6][7][8]. With the rapid development of computer technology, CFD-based numerical simulations have been widely used to study the spatial and temporal distribution of climate-related characteristics (e.g., temperature) of microenvironments in greenhouses [9][10][11][12]. In recent years, more scholars have paid attention to the microenvironment of greenhouse crops.…”

Section: Introductionmentioning

confidence: 99%

Computational Fluid Dynamics-Based Simulation of Crop Canopy Temperature and Humidity in Double-Film Solar Greenhouse

Jiao¹,

Liu²,

Gao³

et al. 2020

Journal of Sensors

View full text Add to dashboard Cite

The microenvironment of the crop area in a greenhouse is the main factor that affects its growth, quality, and pest control. In this study, we propose a double-layer film solar greenhouse microenvironment testing system based on computational fluid dynamics simulations of a celery canopy with a porous medium. A real greenhouse was examined with a sensor system for soil, air, radiation, and carbon dioxide detection to verify the simulation results. By monitoring the internal environment of celery canopies with heights of 0.8 and 1 m during a period of temperature fluctuations, we found the temperature and humidity of the canopy interior changed spatially and differed greatly from the those in the greenhouse under solar radiation conditions. The temperature and humidity of the celery canopy were 4–14°C lower and 10%–30% higher than those of the surroundings. As the canopy grew, the differences in temperature and humidity between the canopy and other parts of the greenhouse increased. The root mean square errors of the temperature and humidity with the 0.8 m high celery canopy were found to be 0.56 and 2.86 during the day and 0.24 and 0.81 at night, respectively; the corresponding values for the 1 m high celery canopy were found to be 0.51 and 2.26 during the day and 0.26 and 0.78 at night. The porous medium model expressed the temperature and humidity characteristics of the celery crop appropriately, and the simulation method was shown to be effective and feasible. With the simulation method proposed in this study, the production of crops in complex microenvironments in greenhouses can be modeled and digitized.

show abstract

Modelling of micrometeorology, canopy transpiration and photosynthesis in a closed greenhouse using computational fluid dynamics

Boulard

Roy

Pouillard

et al. 2017

Biosystems Engineering

139

View full text Add to dashboard Cite

Experimental and CFD Results on the Co2 Distribution in a Semi Closed Greenhouse

Cited by 19 publications

References 0 publications

CFD determination of the climate distribution in a semi closed greenhouse with air cooling

CFD determination of the climate distribution in a semi closed greenhouse with air cooling

Computational Fluid Dynamics-Based Simulation of Crop Canopy Temperature and Humidity in Double-Film Solar Greenhouse

Modelling of micrometeorology, canopy transpiration and photosynthesis in a closed greenhouse using computational fluid dynamics

Contact Info

Product

Resources

About