Mathematical Model to Estimate Carbon Footprint for EEG Incubation

Tarek Fouda (Faculty of Agriculture, Agricultural Engineering Department, Tanta University, Egypt)
Nourhan KASSAB (Faculty of Agriculture, Agricultural Engineering Department, Tanta University, Egypt)

Abstract


This work presents a performance comparison between several incubators models including CO2, and NH4 emission. A mathematical model for incubators carbon foot print was developed to estimate CO2, Nh4 emission. The program written by C++ language including convert line. The modular structure of program consists of a main programme and series of independent subroutine، each one deals with a specific parameter of the required data. The computer programme has a wide range of applicability several values of size of the machine (NO. egg), Fertility (F), Heat production embryo (HPe), maximum CO2 level (CO2)m , CO2 level incoming air (CO2)I ,RQ value (RQ) to estimate  Heat production (HP( , CO2 production  , Ventilation (V) , Ventilation of egg (Vegg) Input data: Enter size of the machine, Fertility (F), Heat production embryo (HPe), maximum CO2 level (CO2)m , CO2 level incoming air (CO2)I ,RQ value (RQ) the results As the growth period passed from the first day of the twenty-first day, the amount of heat produced increased from 0.0001 to 0.35 w / egg , and ventilation from 0 to 352 m3 / hr as well as the amount of carbon dioxide produced from 0.0000158 to 0.04318 lit/hr/Mach . As the number of eggs increased from 5,000 to 30,000 eggs, each of the heat produced increased from 923.4 to 5540.4 kg / hr, the resulting carbon dioxide from 32 to 190 lit / hr / Mach, and ventilation from 9 to 54 m3/hr

 


Keywords


Carbon; Ammonia; Incubator; Poultry housing; Model and hens

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References


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DOI: https://doi.org/10.30564/jzr.v2i3.2109

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