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Modelling of ammonia emissions from naturally ventilated livestock buildings. Part 3: CFD modelling

  • Bjarne Bjerg*
  • , Giovanni Cascone
  • , In Bok Lee
  • , Thomas Bartzanas
  • , Tomas Norton
  • , Se Woon Hong
  • , Il Hwan Seo
  • , Thomas Banhazi
  • , Paolo Liberati
  • , Alvaro Marucci
  • , Guoqiang Zhang
  • *Corresponding author for this work
  • University of Copenhagen
  • University of Catania
  • Seoul National University
  • Centre for Research and Technology Thessaly
  • Harper Adams University
  • University of Southern Queensland
  • University of Bologna
  • Tuscia University
  • Aarhus University

Research output: Contribution to journalReview articlepeer-review

Abstract

The purpose of this review paper is to identify current capabilities of Computational Fluid Dynamics (CFD) modelling techniques and areas where further scientific research is required, in order to identify how best CFD can be utilised in the future as a comprehensive modelling tool that enables naturally ventilated (NV) livestock buildings to be designed to reduce ammonia emissions.The review indicates that CFD methods possess many of the elements needed to develop reliable models for prediction of ammonia emission (AE) from NV livestock buildings. Nevertheless, development and validation of methods to specify boundary conditions regarding the ammonia-emitting surface is still a challenging task. In addition further development and validation is needed of (1) methods to model the influence of the animals and the influence of varying weather conditions, (2) strategies on how to select the most appropriate turbulence model relative to the modelling application at hand and computational power available, (3) more advanced solar irradiation models to gain more understanding of its effect on AE, (4) standardised sensitivity analysis of the uncertainties involved in the CFD model, (5) standard approaches to the incorporation of contaminant transfer across boundary layers of emitting surfaces within large scale simulations, and (6) more effective meshing techniques.

Original languageEnglish
Pages (from-to)259-275
Number of pages17
JournalBiosystems Engineering
Volume116
Issue number3
DOIs
StatePublished - 2013.11

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