Distributed Parameter Modelling Applications

Mauricio Sales-Cruz, Ian Cameron, Rafiqul Gani

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review


Here the issue of distributed parameter models is addressed. Spatial variations as well as time are considered important. Several applications for both steady state and dynamic applications are given. These relate to the processing of oil shale, the granulation of industrial fertilizers and the development of a short-path evaporator. The oil shale processing problem illustrates the interplay amongst particle flows in rotating drums, heat and mass transfer between solid and gas phases. The industrial application considers the dynamics of an Alberta-Taciuk processor, commonly used in shale oil and oil sands processing. The fertilizer granulation model considers the dynamics of MAP-DAP (mono and diammonium phosphates) production within an industrial granulator, that involves complex crystallisation, chemical reaction and particle growth, captured through population balances. A final example considers the steady state, distributed behaviour of a short-path evaporator.
Original languageEnglish
Title of host publicationProduct and Process Modelling : A Case Study Approach
EditorsIan Cameron, Rafiqul Gani
Number of pages557
Publication date2011
ISBN (Print)978-0-444-53161-2
Publication statusPublished - 2011


  • Crystallisation
  • Granulation
  • Spatial variation
  • Particle transport
  • Oil shale processing
  • Alberta-Taciuk Processor (ATP)
  • Short-path evaporator
  • Daesim Dynamics
  • Population balances
  • Industrial fertilizers
  • Distributed parameter model


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