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Volume 9
Journal of Bioremediation & Biodegradation
ISSN: 2155-6199
Biofuel Congress 2018 &
Biomass 2018
September 04-06, 2018
JOINT EVENT
September 04-06, 2018 | Zurich, Switzerland
13
th
Global Summit and Expo on
Biomass and Bioenergy
&
12
th
World Congress on
Biofuels and Bioenergy
Modeling of slow pyrolysis of various biomasses in a rotary kiln using TGA data
Ramiar Sadegh-Vaziri
1
and
Matthaus U Babler
2
KTH Royal Institute of Technology, Sweden
B
iomass thermochemical processes suffer from the problem of feedstock variation. In the other words, in order to run
commercial biomass-based plants under economically feasible conditions, the process have to be capable of handling very
different raw materials, ranging from forest residues to waste materials from various industries. Process modeling is crucial
to predict the behavior of different feedstock materials in a given biomass plant. In this work, we consider the slow pyrolysis
of biomass to produce biochar. In this process, the main quantity one aims at predicting by means of process modelling is the
conversion of raw biomass to biochar as a function of the process conditions. To achieve this aim, the process model requires
a kinetic rate expression for describing the evolution of the biomass when subject to thermochemical treatment. Here, we will
show that the TGA data processed with an isoconversional method is enough to obtain an effective rate expression which
allows for predicting the behavior of the biomass at an arbitrary temperature evolution. Such rate expressions can then be
used in the process model to simulate conversion of raw biomass to biochar. An overview of this approach is shown in Fig.
1. To illustrate the feasibility of the approach we will consider different biomasses feedstocks undergoing slow pyrolysis in an
indirectly heated rotary kiln reactor. The results of our modeling are then compared to experimental data obtained from a
500 kW pilot plant pyrolyzer and to a more detailed process model. A high level of agreement between the modeling results
from this approach and the experimental data and the previously validate detailed process model is observed. This proves the
capability of our cost-efficient approach to obtain preliminary design data.
Recent Publications
1. Sadegh-Vaziri, R., Amovic, M., Ljunggren, R., & Engvall, K. (2015). A Medium-Scale 50 MWfuel Biomass Gasification
Based Bio-SNG Plant: A Developed Gas Cleaning Process. Energies, 8(6), 5287-5302.
2. Sadegh-Vaziri, R., & Babler, M. U. (2017). Numerical investigation of the outward growth of ZnS in the removal of H2S in
a packed bed of ZnO. Chemical Engineering Science, 158, 328-339.
3. Sadegh-Vaziri, R., & Babler, M. U. (2017). PBE Modeling of Flocculation of Microalgae: Investigating the Overshoot in
Mean Size Profiles. Energy Procedia, 142, 507-512.
4. Babler, M. U., Phounglamcheik, A., Amovic, M., Ljunggren, R., & Engvall, K. (2017). Modeling and pilot plant runs of slow
biomass pyrolysis in a rotary kiln. Applied Energy, 207, 123-133.
5. Samuelsson, L. N., Umeki, K., & Babler, M. U. (2017). Mass loss rates for wood chips at isothermal pyrolysis conditions: A
comparison with low heating rate powder data. Fuel Processing Technology, 158, 26-34.
Biography
Ramiar Sadegh-Vaziri is a PhD candidate at the department of chemical engineering at KTH royal institute of technology in Sweden. He has developed skills in process
modeling and numerical simulation. He has worked on different projects including raw syngas cleaning, particle-particle and particle-fluid interactions in two phase
turbulent flows, biomass pyrolysis and gasification and modeling of supported liquid membranes. His understanding of transport phenomena and kinetics together with
his knowledge of CFD modeling and numerical discretization of partial differential and integro-differential equations have helped him to be involved in various projects
ramiar@kth.seRamiar Sadegh-Vaziri et al., J Bioremediat Biodegrad 2018, Volume 9
DOI: 10.4172/2155-6199-C1-014