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Spatial Modeling of the Composting Process

  • Author / Creator
    Lukyanova, Anastasia
  • Spatial heterogeneity is an important characteristic of large-scale composting, however, only a few spatial models for composting exist to date. In this thesis, a novel spatial model for composting is developed. The model is applicable for any one-, two-, or three-dimensional pile geometry. It accounts for the consumption of organic matter and therefore considers the whole composting process from the beginning to the end of decomposition, gives a realistic prediction of the buoyant air flow patterns, incorporates the cooling by passing air, and includes the effects of compaction. The model is validated using existing data from a series of in-vessel composting experiments, and then utilized to simulate windrow composting. Effects of the windrow size variation are explored and it is demonstrated that decomposition speed increases as the pile height increases, however, for large piles this increase becomes smaller as oxygen concentration limitations become significant. Air floor technology is simulated, demonstrating a significant decrease in decomposition time even for passive aeration. The developed model can be a useful tool in process optimization and facility design.

  • Subjects / Keywords
  • Graduation date
    2012-06
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3DN4065R
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Civil and Environmental Engineering
    • Department of Mathematical and Statistical Sciences
  • Supervisor / co-supervisor and their department(s)
    • Dr. Daryl M. McCartney
    • Dr. Gerda de Vries
  • Examining committee members and their departments
    • Minev, Peter (Mathematical and Statistical Sciences)
    • Flynn, Morris (Mechanical Engineering)
    • McCartney, Daryl (Civil and Environmental Engineering)
    • de Vries, Gerda (Mathematical and Statistical Sciences)