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Assessment of ammonia distribution in a livestock farm using CFD simulations

Raviteja Konapathri, Ulugbek Azimov*

*Corresponding author for this work

    Research output: Contribution to journal › Article › peer-review

    14 Citations (Scopus)
    84 Downloads (Pure)

    Abstract

    Livestock farming is a significant source of ammonia emissions, which can have adverse effects on human health and the environment. Understanding the distribution and dispersion of ammonia within a livestock farm is crucial for developing effective mitigation strategies. In this study, computational fluid dynamics (CFD) simulations were employed to assess the spatial distribution of ammonia within a representative livestock farm. A detailed 3D model of the farm was created, incorporating the structural layout and ventilation systems. The CFD simulations were conducted using an approach validated by several other researcher groups, considering factors such as ammonia release rate, temperature, and ventilation rates. The results of the CFD simulations provided valuable insights into the distribution patterns of ammonia within the farm. The concentration contours revealed areas of high ammonia concentration, highlighting potential hotspots and vulnerable locations. To investigate the effect of air velocity and temperature on ammonia convection and to save electricity cost, the duty cycle was determined using transient analysis. We have studied the costs and benefits of agricultural ammonia emission abatement options for compliance with air quality regulations. The simulations allowed for the evaluation of different ventilation rates to mitigate ammonia concentration. The findings contribute to the understanding of ammonia emission sources and provide valuable guidance for the design and optimization of livestock farming systems, enabling the development of sustainable practices that mitigate the environmental impact of ammonia emissions.

    Original languageEnglish
    Article number100376
    Number of pages11
    JournalSmart Agricultural Technology
    Volume7
    Early online date7 Dec 2023
    DOIs
    Publication statusPublished - 1 Mar 2024

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 2 - Zero Hunger
      SDG 2 Zero Hunger
    2. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being
    3. SDG 17 - Partnerships for the Goals
      SDG 17 Partnerships for the Goals

    Keywords

    • Ammonia concentration
    • Ammonia flux
    • Computational fluid dynamics
    • Duty cycle
    • Livestock farm
    • Temperature distribution
    • Velocity distribution
    • Ventilation rate

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