Kinetic analysis of biomass pyrolysis with a peak temperature method

Teresa Marti Rossello; Jun Li; Leo Lue

Kinetic analysis of biomass pyrolysis with a peak temperature method

Teresa Marti Rossello, Jun Li, Leo Lue

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Abstract

The aim of this study is to develop a straightforward method to perform a kinetic analysis of the biomass pyrolysis, applying a developed peak temperature method to the experimental thermogravimetric data. When performing a non-linear fit to the experimental data, initial values of the parameters to fit, are required. With this peak temperature method, the initial values can be estimated by direct observation of the differential thermogravimetric curves (DTG), which should nott present any difficulty and it will help to achieve convergence more quickly.

Original language	English
Number of pages	1
Publication status	Published - 12 Jun 2017
Event	The 25th European Biomass Conference and Exhibition - Stockholm, Sweden Duration: 12 Jun 2017 → 15 Jun 2017 http://www.eubce.com/home.html

Conference

Conference	The 25th European Biomass Conference and Exhibition
Abbreviated title	EUBCE 2017
Country/Territory	Sweden
City	Stockholm
Period	12/06/17 → 15/06/17
Internet address	http://www.eubce.com/home.html

Keywords

biomass
pyrolysis
kinetic analysis

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Marti-Rossello-etal-EBCE-2017-Kinetic-analysis-of-biomass-pyrolysis-with-a-peakAccepted author manuscript, 830 KB

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title = "Kinetic analysis of biomass pyrolysis with a peak temperature method",

abstract = "The aim of this study is to develop a straightforward method to perform a kinetic analysis of the biomass pyrolysis, applying a developed peak temperature method to the experimental thermogravimetric data. When performing a non-linear fit to the experimental data, initial values of the parameters to fit, are required. With this peak temperature method, the initial values can be estimated by direct observation of the differential thermogravimetric curves (DTG), which should nott present any difficulty and it will help to achieve convergence more quickly. ",

keywords = "biomass, pyrolysis, kinetic analysis",

author = "{Marti Rossello}, Teresa and Jun Li and Leo Lue",

year = "2017",

month = jun,

day = "12",

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note = "The 25th European Biomass Conference and Exhibition, EUBCE 2017 ; Conference date: 12-06-2017 Through 15-06-2017",

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TY - CONF

T1 - Kinetic analysis of biomass pyrolysis with a peak temperature method

AU - Marti Rossello, Teresa

AU - Li, Jun

AU - Lue, Leo

PY - 2017/6/12

Y1 - 2017/6/12

N2 - The aim of this study is to develop a straightforward method to perform a kinetic analysis of the biomass pyrolysis, applying a developed peak temperature method to the experimental thermogravimetric data. When performing a non-linear fit to the experimental data, initial values of the parameters to fit, are required. With this peak temperature method, the initial values can be estimated by direct observation of the differential thermogravimetric curves (DTG), which should nott present any difficulty and it will help to achieve convergence more quickly.

AB - The aim of this study is to develop a straightforward method to perform a kinetic analysis of the biomass pyrolysis, applying a developed peak temperature method to the experimental thermogravimetric data. When performing a non-linear fit to the experimental data, initial values of the parameters to fit, are required. With this peak temperature method, the initial values can be estimated by direct observation of the differential thermogravimetric curves (DTG), which should nott present any difficulty and it will help to achieve convergence more quickly.

KW - biomass

KW - pyrolysis

KW - kinetic analysis

UR - http://ec.europa.eu/research/index.cfm?pg=events&eventcode=FA1B0E79-EA98-8475-B0AD723C6DEBAB60

M3 - Poster

T2 - The 25th European Biomass Conference and Exhibition

Y2 - 12 June 2017 through 15 June 2017

ER -

Kinetic analysis of biomass pyrolysis with a peak temperature method

Abstract

Conference

Keywords

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Development of a numerical method for the rapid prediction of ignition performance of biomass particles

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