Back to Search Start Over

3D computational fluid dynamics modeling of temperature and humidity in a humidified greenhouse

Authors :
Irineo L. López-Cruz
Rocío Cervantes-Osornio
Ramón Arteaga-Ramírez
Cuauhtémoc Pérez-Vega
José Armando Ramírez-Arias
Source :
Ingeniería Agrícola y Biosistemas. 13:17-31
Publication Year :
2021
Publisher :
Universidad Autonoma Chapingo, 2021.

Abstract

Introduction: Medium and low technology greenhouses use natural ventilation as a method of temperature and humidity control. However, at certain times of the year, this is insufficient to extract excess heat inside the greenhouse, so devices such as hydrophanes (humidifiers) have been implemented to reduce the temperature. It is necessary to know the behavior of temperature and humidity, since both factors influence the development of crops and, therefore, their yield. Objective: To develop a computational fluid dynamics (CFD) model of a naturally ventilated zenithal greenhouse equipped with hydrophanes to understand the spatial and temporal distribution of temperature and humidity inside the greenhouse. Methodology: The experiment was carried out in a greenhouse equipped with hydrophanes and grown with bell pepper. Temperature and humidity measurements were performed from March 7 to 25, 2014. The ANSYS Workbench program was used for the 3D CFD modeling. Results: The CFD model satisfactorily described the temperature and humidity distribution of the greenhouse, with an error of 0.11 to 3.43 °C for temperature, and 0.44 to 10.80 % for humidity. Limitations of the study: Numerical modeling using CFD is inadequate to model the temporality of the variables. Originality: There are few studies that model humidity behavior with CFD and the use of hydrophanes in Mexico. Conclusions: The CFD model allowed visualizing the distribution of temperature and air humidity inside the greenhouse.

Details

ISSN :
20074026 and 20073925
Volume :
13
Database :
OpenAIRE
Journal :
Ingeniería Agrícola y Biosistemas
Accession number :
edsair.doi...........8848b001a7aa6d3b28ddfb762e3780e0
Full Text :
https://doi.org/10.5154/r.inagbi.2020.10.060