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    <creators>
      <item>
        <name>
          <family>Cronjé</family>
          <given>Angela Leigh </given>
        </name>
      </item>
    </creators>
    <supervisors>
      <item>
        <name>
          <family>Barker</family>
          <given>Andrew</given>
          <lineage>1943-</lineage>
        </name>
      </item>
      <item>
        <name>
          <family>Guy</family>
          <given>Stuart</given>
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    <title>Ammonia emissions and pathogen inactivation during controlled composting of pig manure</title>
    <ispublished>unpub</ispublished>
    <subjects>
      <item>GE</item>
      <item>TP</item>
    </subjects>
    <divisions>30sch_engi</divisions>
    <keywords>Composting, pathogens, ammonia emissions, process model</keywords>
    <abstract>The effects of adjusting the initial carbon to nitrogen (C:N) ration and pH of pig manure and straw mixes on ammonia emissions and pathogen marker inactivation during composting were investigated by experimentation and modelling.

Three, 210-litre reactors were designed and built to control conditions, such as the maximum operating temperature, minimise temperature gradients and enable analysis of the off-gas for ammonia, water, oxygen and carbon dioxide.

Respirometry showed that the optimal temperature for composting pig manure was about 60°C.

A simulation model suggested that ammonia emissions could be reduced by lowering the initial pH and increasing the initial C:N ratio of the organic material.  Experimentally, lowering the initial pH significantly reduced ammonia emissions.  The effect of the initial C:N ratio on ammonia emissions was not significant because of variations in the pig manure.

Pathogen markers were sometimes detected after composting from experiments with low ammonia emissions, so questioning the established criteria for pathogen inactivation.

Experimental data validated the model, which simulated organic material decomposition using first order reaction rate kinetics and predicted the temperature and ammonia emissions profiles from initial conditions.

</abstract>
    <date>2004</date>
    <date_tp>2003-10</date_tp>
    <date_type>graduation</date_type>
    <ub_identifier>2399207</ub_identifier>
    <ub_pri_lang>eng</ub_pri_lang>
    <ub_doc_source>author</ub_doc_source>
    <ub_doc_source_spot>checked</ub_doc_source_spot>
    <copyright_status>This unpublished thesis/dissertation is copyright of the author and/or third parties. The intellectual property rights of the author or third parties in respect of this work are as defined by The Copyright Designs and Patents Act 1988 or as modified by any successor legislation. Any use made of information contained in this thesis/dissertation must be in accordance with that legislation and must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the permission of the copyright holder.</copyright_status>
    <full_text_status>public</full_text_status>
    <institution>University of Birmingham</institution>
    <department>School of Chemical Engineering</department>
    <thesis_type>d_ph</thesis_type>
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    <dates>
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        <date>2004</date>
        <date_type>graduation</date_type>
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