Study of Distributed Activation Energy Model Using Bivariate Distribution Function, f (E1, E2)

•Application of Copula for modelling of biomass pyrolysis.•Approximations of multi-reaction model through asymptotic method.•Estimate the kinetic parameters and its influence on the chemical kinetics of pyrolysis.•Application of loose biomass to simulate the results with the help of multi-variant di...

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Bibliographic Details
Published in:Thermal science and engineering progress 2018-03, Vol.5, p.388-404
Main Authors: Dhaundiyal, Alok, Singh, Suraj B., Hanon, Muammel M.
Format: Article
Language:English
Subjects:
Biomass pyrolysis
Chemical kinetics
Distributed activation energy model
Frank copula
Simulation
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Summary:•Application of Copula for modelling of biomass pyrolysis.•Approximations of multi-reaction model through asymptotic method.•Estimate the kinetic parameters and its influence on the chemical kinetics of pyrolysis.•Application of loose biomass to simulate the results with the help of multi-variant distribution function.•Modification in the prevailing model. This paper describes the influence of relevant parameters to biomass pyrolysis on the numerical solution of nth-order distributed activation energy model (DAEM) using Frank’s copula. In addition, the initial distribution function f(E) is replaced by a continuous joint distribution function. Bi-variant distribution of activation energies E1 and E2 are assumed to represent the primary and the secondary pyrolysis reactions respectively. Temperature history is considered to vary linear with time. Thermoanalytical data is experimentally derived from TG/DTG analysis.
ISSN:2451-9049
2451-9049
DOI:10.1016/j.tsep.2018.01.009