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3D computational fluid dynamics modeling of temperature and humidity in a humidified greenhouse
Author(s) -
Cuauhtémoc Pérez-Vega,
José Armando Ramírez-Árias,
Irineo L. LópezCruz,
Ramón Arteaga-Ramírez,
Rocío Cervantes-Osornio
Publication year - 2021
Publication title -
ingeniería agrícola y biosistemas (en línea)/ingeniería agrícola y biosistemas
Language(s) - English
Resource type - Journals
eISSN - 2007-4026
pISSN - 2007-3925
DOI - 10.5154/r.inagbi.2020.10.060
Subject(s) - greenhouse , computational fluid dynamics , humidity , environmental science , apparent temperature , natural ventilation , ventilation (architecture) , meteorology , microclimate , atmospheric sciences , mechanics , physics , geography , horticulture , biology , archaeology
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.

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