Title:
Predictive Pyrolysis Process Modeling in AspenPlus®
Author(s):
Peters, J.F., Iribarren, D., Dufour, J.
Document(s):
Paper
Poster
Abstract:
This work presents a novel Aspen Plus® model of pyrolysis processes for lignocellulosic feedstocks. Based on kinetic reaction mechanisms, the simulation calculates product yields and composition depending on reactor conditions (temperature, residence time, flue gas flow rate) and feedstock composition (cellulose, hemicellulose and lignin fraction, atomic composition, ash and alkali metal content). The produced bio-oil is modelled with a high level of detail (33 compounds including organic acids, aldehydes, alcohols, ketenes, phenols, sugar derivatives and degraded lignin), and the char product shows realistic atomic compositions. N, S and Cl trace element release is taken into account and the corresponding emissions caused by the process can be determined. Numerous simulation runs are made in order to cross-check the simulation results with experimental data based on published literature. The results show a high correlation of the results for the most common pyrolysis processes (e.g., fast pyrolysis in bubbling or circulating fluidised beds), which is somewhat decreasing for slow pyrolysis processes. The simulation model is found to be suitable for predicting pyrolysis yields and products within the typical range of operation for pyrolysis processes.
Keywords:
biomass, fast pyrolysis, pyrolysis oil, process simulation, lignocellulosic sources, reactor modelling
Topic:
R&D on Biomass Conversion Technologies for Heating, Electricity and Chemicals
Subtopic:
Pyrolysis and other biomass liquefaction technologies
Event:
21st European Biomass Conference and Exhibition
Session:
2CV.4.8
Pages:
923 - 927
ISBN:
978-88-89407-53-0
Paper DOI:
10.5071/21stEUBCE2013-2CV.4.8
Price:
FREE
