Biomass pyrolysis: Kinetic modelling and experimental validation under high temperature and flash heating rate conditions

Dupont, Capucine; Chen, Li; Cancès, Julien; Commandré, Jean-Michel; Cuoci, Alberto; Pierucci, Sauro; Ranzi, E.

doi:10.1016/j.jaap.2008.11.034

Cited by 100 publications

(78 citation statements)

References 20 publications

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“…As suggested by Shuangning et al 14 , yield of gaseous products from fast pyrolysis of biomass depends on the heating rate, final temperature as well as the time interval for which biomass sample is exposed to that higher temperature. Dupont et al 15 used an entrained flow drop reactor to investigate the effect of temperature on fast pyrolysis of commercial beech wood. They investigated the fast pyrolysis at high temperature reported that more than 75wt% of biomass was converted into gas at 1000°C.…”

Section: Effect Of Temperature On Product Yield From Fast Pyrolysismentioning

confidence: 99%

“…Tar and volatiles evolved from the biomass particles released into the surrounding gas phase while the surrounding gases diffuse into the biomass particles. 15 Although the exact mechanism of biomass pyrolysis is not clear, several kinetic models of varying complexity have been developed. [15][16][17][18][19] However the overall process can be explained using empirical models, such as presented by Kilzer and Briodo et al 20 According to their model, lignocellulosic materials follow one of two available pathways.…”

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confidence: 99%

“…15 Although the exact mechanism of biomass pyrolysis is not clear, several kinetic models of varying complexity have been developed. [15][16][17][18][19] However the overall process can be explained using empirical models, such as presented by Kilzer and Briodo et al 20 According to their model, lignocellulosic materials follow one of two available pathways. At higher temperature, tar formation is favoured by the low activation energy of the reaction while at low temperatures, cellulose in the biomass sample converts into dehydro-cellulose which is converted into char and syngas.…”

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confidence: 99%

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Pyrolysis of waste biomass: investigation of fast pyrolysis and slow pyrolysis process conditions on product yield and gas composition

Waheed

Nahil

Williams

2013

Journal of the Energy Institute

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High temperature fast pyrolysis of wood, rice husk and forestry wood residue was carried out in a laboratory scale fixed bed reactor. The results were compared with pyrolysis of the biomass samples in a different reactor under slow pyrolysis conditions.There was a marked difference in product yield depending on heating rate, for example, the gas yield from slow pyrolysis was, 24.7wt.% for wood , 24.06wt.% for rice husks and 24.01wt.% for forestry residue; however, for fast pyrolysis the gas yields were 78.63 wt.%, 66.61wt.% and 73.91wt.% respectively. There were correspondingly significantly lower yields of oil and char from fast pyrolysis whereas for slow pyrolysis oil and char yields were higher. The composition of the product gases was also influenced by the heating rate. In additional experiments the influence of pyrolysis temperature was investigated under fast pyrolysis conditions from 750 to 1050°C. It was found that the increase in temperature increased overall gas yield and also increased hydrogen gas concentration with a decrease in CH 4 , CO 2 and C 2 -C 4 hydrocarbons. High gas yields of~90 wt% conversion of the biomass to gas was obtained during the pyrolysis of biomass at 1050°C. Steam was also added to the fast pyrolysis system to enhance the hydrogen production. The amount of hydrogen produced was found to significantly increase in the presence of added steam.

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Section: Effect Of Temperature On Product Yield From Fast Pyrolysismentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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Pyrolysis of waste biomass: investigation of fast pyrolysis and slow pyrolysis process conditions on product yield and gas composition

Waheed

Nahil

Williams

2013

Journal of the Energy Institute

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“…Biomass energy or bioenergy is one of the most important energy resources in the world and it has been extensively employed in many countries (Barneto et al, 2010;Dupont et al, 2009;Nimmo et al, 2010). Biomass is utilised in a variety of conversion techniques such as physical, thermal, chemical and biological methods.…”

Section: Combustion Of Biomassmentioning

confidence: 99%

Modelling of pollutants concentrations from the biomass combustion process

Magdziarz¹,

Wilk²,

Zajemska³

2011

Chemical and Process Engineering

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This paper presents possibilities for of numerical modelling of biomass combustion in a commercially available boiler. A sample of biomass was tested with respect to its physical and chemical properties. Thermogravimetry studies of biomass were carried out. Computer simulation makes it possible to analyse complex phenomena which are otherwise difficult to observe. The aim of this work was to model biomass combustion to predict the amount of pollutants generated (NO x , CO, SO 2 ) in the exhaust gases coming out from boilers The calculations were made using the CHEMKIN program. Results of calculations were performed taking into account the influence of temperature, pressure and residence time.

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“…This means that a significant amount of the energy used by the boiler comes from the combustion of gases, which indicates that the combustion of pyrolytic gases is the most important energy source. However, the composition of the gaseous products of pyrolysis reported in the study of Dupont et al (2009) suggests that carbon monoxide has the highest concentration in the pyrolytic gas, while the fraction of other combustible gases remains under 10 wt. %.…”

Section: ) Combustion Of Pyrolytic Gasesmentioning

confidence: 99%

Dynamic modeling of combustion in a BioGrate furnace: The effect of operation parameters on biomass firing

Boriouchkine

Zakharov

Jämsä‐Jounela

2012

Chemical Engineering Science

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The development of efficient operation and control of a biomass boiler requires extensive knowledge of the combustion process inside the boiler furnace However, it is not possible to obtain the required knowledge through process measurements because the high temperatures and aggressive environment inside the furnace prevent taking accurate sensor readings. Instead, the process can be studied with the help of mathematical modeling. This paper describes dynamic modeling of bed combustion in a BioGrate boiler furnace. The developed dynamic model is heterogeneous, including solid and gas phases and corresponding reactions. The model is used for process phenomena investigation; the results are presented and discussed. Keywords

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Biomass pyrolysis: Kinetic modelling and experimental validation under high temperature and flash heating rate conditions

Cited by 100 publications

References 20 publications

Pyrolysis of waste biomass: investigation of fast pyrolysis and slow pyrolysis process conditions on product yield and gas composition

Pyrolysis of waste biomass: investigation of fast pyrolysis and slow pyrolysis process conditions on product yield and gas composition

Modelling of pollutants concentrations from the biomass combustion process

Dynamic modeling of combustion in a BioGrate furnace: The effect of operation parameters on biomass firing

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