Mathematical Model to Estimate Carbon Footprint for EEG Incubation

Authors

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

DOI:

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

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

References

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Vol. 2 , Iss. 3 (July 2020)

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