@article{richter:2017:10.1016/j.firesaf.2017.03.082,
author = {richter, F and Rein, G},
doi = {10.1016/j.firesaf.2017.03.082},
journal = {Fire Safety Journal},
pages = {191--199},
title = {Pyrolysis kinetics and multi-objective inverse modelling of cellulose at the microscale},
url = {http://dx.doi.org/10.1016/j.firesaf.2017.03.082},
volume = {91},
year = {2017}
}

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TY  - JOUR
AB  - The  chemistry  of  pyrolysis,  together  with heat  transfer, drives ignition  and flame  spread of biomass materials  under  many  fire  conditions,  but  it  is  poorly  understood. Cellulose  is  the  main  component  of biomass and is often taken as its surrogate. Its chemistry of pyrolysisis simpler and dominates the pyrolysis of biomass. Many reaction schemes with corresponding kinetic parameters can be found in the literature for the  pyrolysis  of  cellulose,  but  their appropriatenessfor  fire  is  unknown. This  study investigated inverse modelling  andthe blind  prediction of  six reaction  schemes of  different  complexitiesfor  isothermal  and non-isothermal  thermogravimetric  experiments.  We  used multi-objective  optimisation  to  simultaneously and separatelyinverse  model the  kinetic  parameters of  each reaction schemeto  several  experiments. Afterwards we tested these parameters with blind predictions. For the first time, we reveal a set of equally good  solutions  for  the  modelling  of  pyrolysis  chemistry  of  different  experiments.  This  set  of  solutions  is called a Pareto front, and represents a trade-off between predictions of different experiments. It stems from the   uncertainty   in  the  experiments  and  in  the  modelling. Parameters  derived  from   non-isothermal experiments compared well with the literature, and performed well in blind predictions of both isothermal and non-isothermal experiments. Complexity beyond the Broido-Shafizadeh scheme with seven parameters proved  to  beunnecessary to  predict the mass  loss  of  cellulose;  hence,  simplereaction  schemes  are most appropriate for  macroscale  fire  models.Our  results  show  that  modellers  should  use  simple  reaction schemes to model pyrolysis in macroscale fire models.
AU  - richter,F
AU  - Rein,G
DO  - 10.1016/j.firesaf.2017.03.082
EP  - 199
PY  - 2017///
SN  - 1873-7226
SP  - 191
TI  - Pyrolysis kinetics and multi-objective inverse modelling of cellulose at the microscale
T2  - Fire Safety Journal
UR  - http://dx.doi.org/10.1016/j.firesaf.2017.03.082
UR  - http://hdl.handle.net/10044/1/45671
VL  - 91
ER  - 

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