Click on “Download PDF” for the PDF version or on the title for the HTML version.


If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options.

Modeling and Simulation of the Microenvironment in Poultry Coops

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  Journal of the ASABE. 65(2): 401-409. (doi: 10.13031/ja.14816) @2022
Authors:   Ali Moghadam, Harshavardhan Thippareddi, Prafulla Regmi, Ramana Pidaparti
Keywords:   Broilers welfare, CFD simulation, Thermal microenvironment.

Highlights

Air temperature, relative humidity (RH), and velocity affect the thermal microenvironment in loaded poultry coops.

Increasing air velocity alone will not alleviate bird distress for some combinations of air temperature and RH.

Heat generated by the birds affects the thermal microenvironment in loaded poultry coops.

A CFD model can precisely predict the thermal microenvironment at any location in a loaded poultry coop.

Abstract. Exposure of broilers to extremes of temperature and relative humidity (RH) during the summer can cause bird mortalities. Broiler welfare can be represented by the enthalpy comfort index (ECI), an integrated parameter for characterizing the thermal microenvironment. In this study, computational fluid dynamics (CFD) simulations were conducted to investigate the combined effects of temperature, RH, air velocity, and heat produced by the birds on the ECI inside a poultry coop. To validate the computational model, a case study was carried out, and predictions were compared to data from the literature. After validation, several cases with varying RH, heat generation, and air velocity were considered, and the results were used to calculate the ECI and consequently evaluate bird welfare. Regardless of the air temperature and RH at the air inlet, the heat produced by the birds and the lack of airflow in the areas behind the birds created an undesirable thermal microenvironment (warning, critical, or lethal ECI levels) inside the coop. The results obtained from the computational model can be used for optimizing the specific environmental conditions in poultry coops to improve bird welfare.

(Download PDF)    (Export to EndNotes)