Experimental validation of a predictive pyrolysis model in AspenPlus®

Jens F. Peters, Scott W. Banks, Ana Susmozas, Javier Dufour

Research output: Chapter in Book/Published conference outputConference publication


A novel simulation model for pyrolysis processes oflignocellulosicbiomassin AspenPlus (R) was presented at the BC&E 2013. Based on kinetic reaction mechanisms, the simulation calculates product compositions and yields depending on reactor conditions (temperature, residence time, flue gas flow rate) and feedstock composition (biochemical composition, atomic composition, ash and alkali metal content). The simulation model was found to show good correlation with existing publications. In order to further verify the model, own pyrolysis experiments in a 1 kg/h continuously fed fluidized bed fast pyrolysis reactor are performed. Two types of biomass with different characteristics are processed in order to evaluate the influence of the feedstock composition on the yields of the pyrolysis products and their composition. One wood and one straw-like feedstock are used due to their different characteristics. Furthermore, the temperature response of yields and product compositions is evaluated by varying the reactor temperature between 450 and 550 degrees C for one of the feedstocks. The yields of the pyrolysis products (gas, oil, char) are determined and their detailed composition is analysed. The experimental runs are reproduced with the corresponding reactor conditions in the AspenPlus model and the results compared with the experimental findings.
Original languageEnglish
Title of host publicationPapers of the 22nd European Biomass Conference
Subtitle of host publicationsetting the course for a biobased economy
EditorsC. Hoffman , D. Baxter, K. Maniatis, et al
Number of pages4
Publication statusPublished - 2014
Event22nd European International Biomass Conference - Hamburg, Germany
Duration: 23 Jun 201426 Jun 2014


Conference22nd European International Biomass Conference


  • biomass
  • reactor model
  • pyrolysis oil
  • process simulation
  • lignocellulosicsources
  • fast pyrolysis


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