Asymptotic approximations to the non-isothermal distributed activation energy model for bio-mass pyrolysis

• Autorzy: Dhaundiyal A. , Singh S. B.

Identyfikatory

DOI

10.1515/ama-2017-0045

• Języki publikacji: EN

Abstrakty

EN

This paper describes the influence of some parameters significant to biomass pyrolysis on the numerical solutions of the non-isothermal nth order distributed activation energy model (DAEM) using the Gamma distribution and discusses the special case for the positive integer value of the scale parameter (𝜆), i.e. the Erlang distribution. Investigated parameters are the integral upper limit, the frequency factor, the heating rate, the reaction order, and the shape and rate parameters of the Gamma distribution. Influence of these parameters has been considered for the determination of the kinetic parameters of the non-isothermal nth order Gamma distribution from the experimentally derived thermoanalytical data of biomass pyrolysis. Mathematically, the effect of parameters on numerical solution is also used for predicting the behaviour of the unpyrolysized fraction of biomass with respect to temperature. Analysis of the mathematical model is based upon asymptotic expansions, which leads to the systematic methods for efficient way to determine the accurate approximations. The proposed method, therefore, provides a rapid and highly effective way for estimating the kinetic parameters and the distribution of activation energies.

Słowa kluczowe

EN

biomass pyrolysis; distributed activation energy model (DAEM); DAEM; non-isothermal kinetics; gamma distribution; asymptotic expansion; erlang distribution

• Wydawca: Oficyna Wydawnicza Politechniki Białostockiej
• Czasopismo: Acta Mechanica et Automatica
• Rocznik: 2017
• Tom: Vol. 11, no. 4
• Strony: 293--301
• Opis fizyczny: Bibliogr. 37 poz., tab., wykr.

Twórcy

autor

Dhaundiyal A.

• Faculty of Mechanical Engineering, Mechanical Engineering PhD School, Szent Istvan University, Godollo, Hungary

autor

Singh S. B.

• Department of Mathematics, Statistics and Computer Science, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand 263153, India

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).