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<references>
<reference>
  <rt>Dissertation/Thesis</rt>
  <jo>Tesis de la Universidad de Zaragoza</jo>
  <a1>Pallarés Ranz, Javier </a1>
  <a2>Arauzo Pelet, Inmaculada</a2>
  <t1>Unburned carbon in ash prediction in pulverized coal utility boilers.  Analysis and assessment of operation strategies. </t1>
  <t2/>
  <sn/>
  <op/>
  <vo/>
  <ab>The predictive system developed in this Thesis has the same structure as the so-called combustion kinetics models, however, it obtains the fluid and thermal description through CFD simulations.  To solve the handicap of the high computational cost needed to run a CFD simulation, a neural network system is used to reproduce the solutions given by the CFD code.  Moreover, a neural network system permits to interpolate in the range of variation used during the training stage, and thus, a predictive system covering the whole operational range of the plant is obtained. </ab>
  <la>eng</la>
  <k1>Unburned carbon;
                Coal combustion modelling;
                CFD;
                Neural networks ;
                </k1>
  <pb>Universidad de Zaragoza</pb>
  <pp>Zaragoza</pp>
  <py>2008</py>
  <yr>2008</yr>
  <ed/>
  <ul>http://zaguan.unizar.es/record/3360/files/TESIS-2009-065.pdf;
	</ul>
  <no>Imported from Invenio.</no>
</reference>

</references>