<abstract xmlns="http://www.w3.org/1999/xhtml"><p> The main aim of this paper is to fuzzify the kinetic parameters, which have crisp nature, in order to obtain the realistic and accurate results. In the present study, the variance, upper limit of ‘dE’ and the frequency factor are assumed to be fuzzy numbers. The Gaussian distribution is considered as the distribution function, f (E), of Distributed Activation Energy Model (DAEM). The membership and the non-membership functions are evaluated by the trapezoidal fuzzy number. Thermo-analytical data has been found experimentally with the help of TGA/DTG analysis. The approximated solution of DAEM is obtained with the help of asymptotic expansion.</p></abstract>

The main aim of this paper is to fuzzify the kinetic parameters, which have crisp nature, in order to obtain the realistic and accurate results. In the present study, the variance, upper limit of ‘dE’ and the frequency factor are assumed to be fuzzy numbers. The Gaussian distribution is considered as the distribution function, f (E), of Distributed Activation Energy Model (DAEM). The membership and the non-membership functions are evaluated by the trapezoidal fuzzy number. Thermo-analytical data has been found experimentally with the help of TGA/DTG analysis. The approximated solution of DAEM is obtained with the help of asymptotic expansion.

Analysis of the non Isothermal Distributed Activation Energy Model for Biomass Pyrolysis by Fuzzy Gaussian Distribution

G. B. Pant University of Agriculture and Technology, Pantnagar, India

Rural Sustainability Research

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

The main aim of this paper is to fuzzify the kinetic parameters, which have crisp nature, in order to obtain the realistic and accurate results. In the present...

Analysis of the non Isothermal Distributed Activation Energy Model for Biomass Pyrolysis by Fuzzy Gaussian Distribution

Published Online: Aug 10, 2016

Page range: 32 - 41

DOI: https://doi.org/10.1515/plua-2016-0005

Keywords
Fuzzy number, Gaussian distribution, distributed activation energy model (DAEM), kinetic parameters, biomass pyrolysis, asymptotic expansion

© by Alok Dhaundiyal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Analysis of the non Isothermal Distributed Activation Energy Model for Biomass Pyrolysis by Fuzzy Gaussian Distribution

Published Online: Aug 10, 2016

Page range: 32 - 41

DOI: https://doi.org/10.1515/plua-2016-0005

KeywordsFuzzy number, Gaussian distribution, distributed activation energy model (DAEM), kinetic parameters, biomass pyrolysis, asymptotic expansion

© by Alok Dhaundiyal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
Fuzzy number, Gaussian distribution, distributed activation energy model (DAEM), kinetic parameters, biomass pyrolysis, asymptotic expansion