Biomass Fast Pyrolysis: Experimental Analysis and Modeling Approach : Bioenergy and Green Engineering
Identifieur interne :
000233 ( PascalFrancis/Corpus );
précédent :
000232;
suivant :
000234
Biomass Fast Pyrolysis: Experimental Analysis and Modeling Approach : Bioenergy and Green Engineering
Auteurs : M. Al-Haddad ;
E. Rendek ;
J.-P. Corriou ;
G. MauvielSource :
-
Energy & fuels [ 0887-0624 ] ; 2010.
RBID : Pascal:10-0497769
Descripteurs français
- Pascal (Inist)
- Biomasse,
Pyrolyse,
Modélisation,
Bilan masse,
Cinétique,
Phase solide,
Transfert chaleur,
Modèle 2 dimensions,
Méthode volume fini,
Four,
Flux thermique,
Densité,
Etude comparative.
English descriptors
- KwdEn :
- Biomass,
Comparative study,
Density,
Finite volume method,
Furnace,
Heat flow,
Heat transfer,
Kinetics,
Mass balance,
Modeling,
Pyrolysis,
Solid phase,
Two dimensional model.
Abstract
A single particle model able to predict the evolution of the product yields during biomass fast pyrolysis is developed. Mass balance equations based on a kinetic scheme of solid-phase pyrolysis are coupled to heat-transfer equations. This two-dimensional model is solved by the finite volume method. The model results are compared to experimental data obtained in an image furnace, where biomass pellets are submitted to a controlled and concentrated radiation. Heat flux densities that are available at the biomass surface are similar to those encountered in fluidized beds (0.2-0.8 x 106 W m-2). The comparison between the experimental data and simulated results shows that the kinetic parameters need to be further optimized to accurately represent the final product yields.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
pA |
A01 | 01 | 1 | | @0 0887-0624 |
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A02 | 01 | | | @0 ENFUEM |
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A03 | | 1 | | @0 Energy fuels |
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A05 | | | | @2 24 |
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A06 | | | | @2 SEPOCT |
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A08 | 01 | 1 | ENG | @1 Biomass Fast Pyrolysis: Experimental Analysis and Modeling Approach : Bioenergy and Green Engineering |
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A11 | 01 | 1 | | @1 AL-HADDAD (M.) |
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A11 | 02 | 1 | | @1 RENDEK (E.) |
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A11 | 03 | 1 | | @1 CORRIOU (J.-P.) |
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A11 | 04 | 1 | | @1 MAUVIEL (G.) |
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A14 | 01 | | | @1 Labaratorie Réactions et Génie des Procédés (LRGP) - CNRS-Nancy Université, 1 rue Grandville, BP 20451 @2 54001 NANCY @3 FRA @Z 1 aut. @Z 2 aut. @Z 3 aut. @Z 4 aut. |
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A20 | | | | @1 4689-4692 |
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A21 | | | | @1 2010 |
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A23 | 01 | | | @0 ENG |
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A43 | 01 | | | @1 INIST @2 21106 @5 354000192518190090 |
---|
A44 | | | | @0 0000 @1 © 2010 INIST-CNRS. All rights reserved. |
---|
A47 | 01 | 1 | | @0 10-0497769 |
---|
A60 | | | | @1 P @2 C |
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A61 | | | | @0 A |
---|
A64 | 01 | 1 | | @0 Energy & fuels |
---|
A66 | 01 | | | @0 USA |
---|
A99 | | | | @0 ref. et notes dissem. |
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C01 | 01 | | ENG | @0 A single particle model able to predict the evolution of the product yields during biomass fast pyrolysis is developed. Mass balance equations based on a kinetic scheme of solid-phase pyrolysis are coupled to heat-transfer equations. This two-dimensional model is solved by the finite volume method. The model results are compared to experimental data obtained in an image furnace, where biomass pellets are submitted to a controlled and concentrated radiation. Heat flux densities that are available at the biomass surface are similar to those encountered in fluidized beds (0.2-0.8 x 106 W m-2). The comparison between the experimental data and simulated results shows that the kinetic parameters need to be further optimized to accurately represent the final product yields. |
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C02 | 01 | X | | @0 001D06B |
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C02 | 02 | X | | @0 001D06D02B |
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C02 | 03 | X | | @0 001D06C06 |
---|
C02 | 04 | X | | @0 230 |
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C03 | 01 | X | FRE | @0 Biomasse @5 05 |
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C03 | 01 | X | ENG | @0 Biomass @5 05 |
---|
C03 | 01 | X | SPA | @0 Biomasa @5 05 |
---|
C03 | 02 | X | FRE | @0 Pyrolyse @5 06 |
---|
C03 | 02 | X | ENG | @0 Pyrolysis @5 06 |
---|
C03 | 02 | X | SPA | @0 Pirólisis @5 06 |
---|
C03 | 03 | X | FRE | @0 Modélisation @5 07 |
---|
C03 | 03 | X | ENG | @0 Modeling @5 07 |
---|
C03 | 03 | X | SPA | @0 Modelización @5 07 |
---|
C03 | 04 | 3 | FRE | @0 Bilan masse @5 08 |
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C03 | 04 | 3 | ENG | @0 Mass balance @5 08 |
---|
C03 | 05 | X | FRE | @0 Cinétique @5 09 |
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C03 | 05 | X | ENG | @0 Kinetics @5 09 |
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C03 | 05 | X | SPA | @0 Cinética @5 09 |
---|
C03 | 06 | X | FRE | @0 Phase solide @5 10 |
---|
C03 | 06 | X | ENG | @0 Solid phase @5 10 |
---|
C03 | 06 | X | SPA | @0 Fase sólida @5 10 |
---|
C03 | 07 | X | FRE | @0 Transfert chaleur @5 11 |
---|
C03 | 07 | X | ENG | @0 Heat transfer @5 11 |
---|
C03 | 07 | X | SPA | @0 Transferencia térmica @5 11 |
---|
C03 | 08 | X | FRE | @0 Modèle 2 dimensions @5 12 |
---|
C03 | 08 | X | ENG | @0 Two dimensional model @5 12 |
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C03 | 08 | X | SPA | @0 Modelo 2 dimensiones @5 12 |
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C03 | 09 | X | FRE | @0 Méthode volume fini @5 13 |
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C03 | 09 | X | ENG | @0 Finite volume method @5 13 |
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C03 | 09 | X | SPA | @0 Método volumen finito @5 13 |
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C03 | 10 | X | FRE | @0 Four @5 14 |
---|
C03 | 10 | X | ENG | @0 Furnace @5 14 |
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C03 | 10 | X | SPA | @0 Horno @5 14 |
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C03 | 11 | X | FRE | @0 Flux thermique @5 15 |
---|
C03 | 11 | X | ENG | @0 Heat flow @5 15 |
---|
C03 | 11 | X | SPA | @0 Flujo térmico @5 15 |
---|
C03 | 12 | X | FRE | @0 Densité @5 16 |
---|
C03 | 12 | X | ENG | @0 Density @5 16 |
---|
C03 | 12 | X | SPA | @0 Densidad @5 16 |
---|
C03 | 13 | X | FRE | @0 Etude comparative @5 17 |
---|
C03 | 13 | X | ENG | @0 Comparative study @5 17 |
---|
C03 | 13 | X | SPA | @0 Estudio comparativo @5 17 |
---|
N21 | | | | @1 333 |
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N44 | 01 | | | @1 OTO |
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N82 | | | | @1 OTO |
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|
pR |
A30 | 01 | 1 | ENG | @1 World Congress of Chemical Engineering @2 8 @3 Montreal CAN @4 2009-08-23 |
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|
Format Inist (serveur)
NO : | PASCAL 10-0497769 INIST |
ET : | Biomass Fast Pyrolysis: Experimental Analysis and Modeling Approach : Bioenergy and Green Engineering |
AU : | AL-HADDAD (M.); RENDEK (E.); CORRIOU (J.-P.); MAUVIEL (G.) |
AF : | Labaratorie Réactions et Génie des Procédés (LRGP) - CNRS-Nancy Université, 1 rue Grandville, BP 20451/54001 NANCY/France (1 aut., 2 aut., 3 aut., 4 aut.) |
DT : | Publication en série; Congrès; Niveau analytique |
SO : | Energy & fuels; ISSN 0887-0624; Coden ENFUEM; Etats-Unis; Da. 2010; Vol. 24; No. SEPOCT; Pp. 4689-4692 |
LA : | Anglais |
EA : | A single particle model able to predict the evolution of the product yields during biomass fast pyrolysis is developed. Mass balance equations based on a kinetic scheme of solid-phase pyrolysis are coupled to heat-transfer equations. This two-dimensional model is solved by the finite volume method. The model results are compared to experimental data obtained in an image furnace, where biomass pellets are submitted to a controlled and concentrated radiation. Heat flux densities that are available at the biomass surface are similar to those encountered in fluidized beds (0.2-0.8 x 106 W m-2). The comparison between the experimental data and simulated results shows that the kinetic parameters need to be further optimized to accurately represent the final product yields. |
CC : | 001D06B; 001D06D02B; 001D06C06; 230 |
FD : | Biomasse; Pyrolyse; Modélisation; Bilan masse; Cinétique; Phase solide; Transfert chaleur; Modèle 2 dimensions; Méthode volume fini; Four; Flux thermique; Densité; Etude comparative |
ED : | Biomass; Pyrolysis; Modeling; Mass balance; Kinetics; Solid phase; Heat transfer; Two dimensional model; Finite volume method; Furnace; Heat flow; Density; Comparative study |
SD : | Biomasa; Pirólisis; Modelización; Cinética; Fase sólida; Transferencia térmica; Modelo 2 dimensiones; Método volumen finito; Horno; Flujo térmico; Densidad; Estudio comparativo |
LO : | INIST-21106.354000192518190090 |
ID : | 10-0497769 |
Links to Exploration step
Pascal:10-0497769
Le document en format XML
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<front><div type="abstract" xml:lang="en">A single particle model able to predict the evolution of the product yields during biomass fast pyrolysis is developed. Mass balance equations based on a kinetic scheme of solid-phase pyrolysis are coupled to heat-transfer equations. This two-dimensional model is solved by the finite volume method. The model results are compared to experimental data obtained in an image furnace, where biomass pellets are submitted to a controlled and concentrated radiation. Heat flux densities that are available at the biomass surface are similar to those encountered in fluidized beds (0.2-0.8 x 10<sup>6</sup>
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). The comparison between the experimental data and simulated results shows that the kinetic parameters need to be further optimized to accurately represent the final product yields.</div>
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<fC01 i1="01" l="ENG"><s0>A single particle model able to predict the evolution of the product yields during biomass fast pyrolysis is developed. Mass balance equations based on a kinetic scheme of solid-phase pyrolysis are coupled to heat-transfer equations. This two-dimensional model is solved by the finite volume method. The model results are compared to experimental data obtained in an image furnace, where biomass pellets are submitted to a controlled and concentrated radiation. Heat flux densities that are available at the biomass surface are similar to those encountered in fluidized beds (0.2-0.8 x 10<sup>6</sup>
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<s5>08</s5>
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<s5>09</s5>
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<s5>09</s5>
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<s5>13</s5>
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<s5>15</s5>
</fC03>
<fC03 i1="11" i2="X" l="ENG"><s0>Heat flow</s0>
<s5>15</s5>
</fC03>
<fC03 i1="11" i2="X" l="SPA"><s0>Flujo térmico</s0>
<s5>15</s5>
</fC03>
<fC03 i1="12" i2="X" l="FRE"><s0>Densité</s0>
<s5>16</s5>
</fC03>
<fC03 i1="12" i2="X" l="ENG"><s0>Density</s0>
<s5>16</s5>
</fC03>
<fC03 i1="12" i2="X" l="SPA"><s0>Densidad</s0>
<s5>16</s5>
</fC03>
<fC03 i1="13" i2="X" l="FRE"><s0>Etude comparative</s0>
<s5>17</s5>
</fC03>
<fC03 i1="13" i2="X" l="ENG"><s0>Comparative study</s0>
<s5>17</s5>
</fC03>
<fC03 i1="13" i2="X" l="SPA"><s0>Estudio comparativo</s0>
<s5>17</s5>
</fC03>
<fN21><s1>333</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
</pA>
<pR><fA30 i1="01" i2="1" l="ENG"><s1>World Congress of Chemical Engineering</s1>
<s2>8</s2>
<s3>Montreal CAN</s3>
<s4>2009-08-23</s4>
</fA30>
</pR>
</standard>
<server><NO>PASCAL 10-0497769 INIST</NO>
<ET>Biomass Fast Pyrolysis: Experimental Analysis and Modeling Approach : Bioenergy and Green Engineering</ET>
<AU>AL-HADDAD (M.); RENDEK (E.); CORRIOU (J.-P.); MAUVIEL (G.)</AU>
<AF>Labaratorie Réactions et Génie des Procédés (LRGP) - CNRS-Nancy Université, 1 rue Grandville, BP 20451/54001 NANCY/France (1 aut., 2 aut., 3 aut., 4 aut.)</AF>
<DT>Publication en série; Congrès; Niveau analytique</DT>
<SO>Energy & fuels; ISSN 0887-0624; Coden ENFUEM; Etats-Unis; Da. 2010; Vol. 24; No. SEPOCT; Pp. 4689-4692</SO>
<LA>Anglais</LA>
<EA>A single particle model able to predict the evolution of the product yields during biomass fast pyrolysis is developed. Mass balance equations based on a kinetic scheme of solid-phase pyrolysis are coupled to heat-transfer equations. This two-dimensional model is solved by the finite volume method. The model results are compared to experimental data obtained in an image furnace, where biomass pellets are submitted to a controlled and concentrated radiation. Heat flux densities that are available at the biomass surface are similar to those encountered in fluidized beds (0.2-0.8 x 10<sup>6</sup>
W m<sup>-2</sup>
). The comparison between the experimental data and simulated results shows that the kinetic parameters need to be further optimized to accurately represent the final product yields.</EA>
<CC>001D06B; 001D06D02B; 001D06C06; 230</CC>
<FD>Biomasse; Pyrolyse; Modélisation; Bilan masse; Cinétique; Phase solide; Transfert chaleur; Modèle 2 dimensions; Méthode volume fini; Four; Flux thermique; Densité; Etude comparative</FD>
<ED>Biomass; Pyrolysis; Modeling; Mass balance; Kinetics; Solid phase; Heat transfer; Two dimensional model; Finite volume method; Furnace; Heat flow; Density; Comparative study</ED>
<SD>Biomasa; Pirólisis; Modelización; Cinética; Fase sólida; Transferencia térmica; Modelo 2 dimensiones; Método volumen finito; Horno; Flujo térmico; Densidad; Estudio comparativo</SD>
<LO>INIST-21106.354000192518190090</LO>
<ID>10-0497769</ID>
</server>
</inist>
</record>
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