Literature DB >> 10789916

Steady-state balance model to calculate the indoor climate of livestock buildings, demonstrated for finishing pigs.

G Schauberger1, M Piringer, E Petz.   

Abstract

The indoor climate of livestock buildings is of importance for the well-being and health of animals and their production performance (daily weight gain, milk yield etc). By using a steady-state model for the sensible and latent heat fluxes and the CO2 and odour mass flows, the indoor climate of mechanically ventilated livestock buildings can be calculated. These equations depend on the livestock (number of animals and how they are kept), the insulation of the building and the characteristics of the ventilation system (ventilation rate). Since the model can only be applied to animal houses where the ventilation systems are mechanically controlled (this is the case for a majority of finishing pig units), the calculations were done for an example of a finishing pig unit with 1,000 animal places. The model presented used 30 min values of the outdoor parameters temperature and humidity, collected over a 2-year period, as input. The projected environment inside the livestock building was compared with recommended values. The duration of condensation on the inside surfaces was also calculated.

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Year:  2000        PMID: 10789916     DOI: 10.1007/s004840050002

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  4 in total

1.  Simulation of air quality and cost to ventilate swine farrowing facilities in winter.

Authors:  Jae Hong Park; Thomas M Peters; Ralph Altmaier; Russell A Sawvel; T Renée Anthony
Journal:  Comput Electron Agric       Date:  2013-08-30       Impact factor: 5.565

2.  The investigation of combined ventilation-biofilter systems using recycled treated wastewater on odor reduction efficiency.

Authors:  Andi Febrisiantosa; Hong L Choi; Anriansyah Renggaman; Sartika I A Sudiarto; Joonhee Lee
Journal:  Asian-Australas J Anim Sci       Date:  2019-12-24       Impact factor: 2.509

3.  Determination of ammonia and hydrogen sulfide emissions from a commercial dairy farm with an exercise yard and the health-related impact for residents.

Authors:  Chuandong Wu; Fan Yang; Marlon Brancher; Jiemin Liu; Chen Qu; Martin Piringer; Günther Schauberger
Journal:  Environ Sci Pollut Res Int       Date:  2020-06-30       Impact factor: 4.223

4.  Machine Learning-Based Microclimate Model for Indoor Air Temperature and Relative Humidity Prediction in a Swine Building.

Authors:  Elanchezhian Arulmozhi; Jayanta Kumar Basak; Thavisack Sihalath; Jaesung Park; Hyeon Tae Kim; Byeong Eun Moon
Journal:  Animals (Basel)       Date:  2021-01-18       Impact factor: 2.752

  4 in total

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