Computational fluid dynamics in greenhouses: A review

Torre-Gea, Guillermo De la; Soto-Zarazúa, Genaro M.; López‐Cruz, Irineo L.; Torres, Irineo; Rico-García, Enrique

doi:10.5897/ajb10.2488

Cited by 15 publications

(7 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…( 3)CFD techniques apply these conservation laws along the discretized flow domain in order to determine the systematic changes of mass, momentum, and energy for the fluid that crosses the interfaces of each discrete region (TORRE-GEA et al, 2011).…”

Section: Methodsmentioning

confidence: 99%

“…CFD technique allows simulating fluid interaction by means of a computer graphics interface, with surfaces defined by boundary condition through fundamental equations of conservation of matter, energy, and momentum (TORRE-GEA et al, 2011;ROMERO-GÓMEZ et al, 2010). BOURNET & BOULARD (2010) pointed out that, associated with mass and energy flow, this technique provides subsidies to estimate micrometeorological conditions in response to an air renewal system, or ambient cooling, in order to assess the configurations of ventilation systems under different climatic conditions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Simulation of Ventilation Systems in a Protected Environment Using Computational Fluid Dynamics

et al. 2017

View full text Add to dashboard Cite

Computational simulations of mass and energy flow help in implementing alternative cooling systems in protected environments. The aim of this study was to model and simulate the interaction between external and internal environments of a protected environment by means of computational fluid dynamics (CFD) techniques and validate micrometeorological variables for subsequent comparison between natural and indirect ventilation by ground heat exchangers. At the first phase, the micrometeorological variables global solar radiation (Qg), air temperature (Tair), and air relative humidity (RH) were monitored. The second phase consisted of the numerical modeling of finite volumes, with validation through recorded data, as well as simulation and comparison of two ventilation systems. The functional relationship between simulated and recorded meteorological elements presented a good linear association, with coefficients of determination of 0.97, 0.93, and 0.94 for Qg, Tair, and RH, respectively. Simulation of indirect ventilation system by ground heat exchangers presented a reduction of 4 °C in Tair and 15% in RH compared to that recorded inside the environment. The natural ventilation system allowed a reduction of 1 °C in Tair when compared to the protected environment.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulation of Ventilation Systems in a Protected Environment Using Computational Fluid Dynamics

et al. 2017

View full text Add to dashboard Cite

show abstract

“…The equations obtained directly from the volume or fixed element in space are known as conservative form. While the equations which move with the fluid element, are called as non-conservative form (De la Torre-Gea et al, 2011). The fluid flow can be modelled by the Navier-Stokes (N-S) equations that are time and space dependent.…”

Section: Fundamental Computational Fluid Dynamics Equationsmentioning

confidence: 99%

Numerical simulations for the optimisation of ventilation system designed for wine cellars

Santolini

Barbaresi

Torreggiani

et al. 2019

J Agricult Engineer

View full text Add to dashboard Cite

The wine-ageing process is one of the most important phases of the wine production and it can be considerably affected by the micro-climatic conditions inside the ageing rooms. Underground wine cellars in small-medium wineries are designed with natural ventilation systems, able to maintain optimal indoor condition. However, critical factors emerge, such as mold growth or wine evapo-transpiration, where ventilation proved to be poorly designed, insufficient in the first case or excessive in the second one. The zones around the wooden barrels proved to be the most sensitive and problematic. These areas are the most investigated in terms of temperature and humidity values but surprisingly not in terms of air velocity. In this paper, a ventilation system has been designed and optimised to support the lack of ventilation, by means of computational fluid dynamics modelling. Eight configurations have been performed and analysed, identifying the best two according to the air velocity range. Specific parameters have been defined to appreciate the application limits of each configuration. These parameters can be used as reference for system design in similar studies and applications and can help scholars and professionals to identify the optimal configurations for the implementation and proper placement of the system inside a cellar.

show abstract

“…Recently, computational fluid dynamics (CFD) has been used as an alternative to monitor temperature in greenhouses [36,37,38]. Kittas et al developed a simple model to estimate the air temperature in a fan-ventilated greenhouse [39].…”

Section: Introductionmentioning

confidence: 99%

Implementation of Virtual Sensors for Monitoring Temperature in Greenhouses Using CFD and Control

Guzmán

Carrera²,

Durán³

et al. 2018

Sensors

View full text Add to dashboard Cite

Virtual sensing is crucial in order to provide feasible and economical alternatives when physical measuring instruments are not available. Developing model-based virtual sensors to calculate real-time information at each targeted location is a complex endeavor in terms of sensing technology. This paper proposes a new approach for model-based virtual sensor development using computational fluid dynamics (CFD) and control. Its main objective is to develop a three-dimensional (3D) real-time simulator using virtual sensors to monitor the temperature in a greenhouse. To conduct this study, a small-scale greenhouse was designed, modeled, and fabricated. The controller was based on the convection heat transfer equation under specific assumptions and conditions. To determine the temperature distribution in the greenhouse, a CFD analysis was conducted. Only one well-calibrated and controlled physical sensor (temperature reference) was enough for the CFD analysis. After processing the result that was obtained from the real sensor output, each virtual sensor had learned the associative transfer function that estimated the output from given input data, resulting in a 3D real-time simulator. This study has demonstrated, for the first time, that CFD analysis and a control strategy can be combined to obtain system models for monitoring the temperature in greenhouses. These findings suggest that, generally, virtual sensing can be applied in large greenhouses for monitoring the temperature using a 3D real-time simulator.

show abstract

Computational fluid dynamics in greenhouses: A review

Cited by 15 publications

References 47 publications

Simulation of Ventilation Systems in a Protected Environment Using Computational Fluid Dynamics

Simulation of Ventilation Systems in a Protected Environment Using Computational Fluid Dynamics

Numerical simulations for the optimisation of ventilation system designed for wine cellars

Implementation of Virtual Sensors for Monitoring Temperature in Greenhouses Using CFD and Control

Contact Info

Product

Resources

About