The main aim of th is paper pivote d ar ound th e influence of some parameters relev ant to biomass pyrolys is on the numerical solutions of the nth order distributed activation energy model (DAEM) using the Gamma distribution. The upper limit of ‘dE’ integral, frequency factor, reaction order, and...

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Autores:
Dhaundiyal, Alok; Szent Istvan University, Mechanical Engineering PhD School, Faculty of Mechanical Engineering, Godollo, Hungary.
Singh, Suraj; Department of Mathematics, Statistics and Computer Science, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India.
Tipo de recurso:
Article of journal
Fecha de publicación:
2017
Institución:
Pontificia Universidad Javeriana
Repositorio:
Repositorio Universidad Javeriana
Idioma:
eng
OAI Identifier:
oai:repository.javeriana.edu.co:10554/31804
Acceso en línea:
http://revistas.javeriana.edu.co/index.php/scientarium/article/view/18827
http://hdl.handle.net/10554/31804
Palabra clave:
Applied Mathematics; Energy; Biomass
Asymptotic expansion; Gamma distribution; biomass pyrolysis; distributed activation energy model.
Rights
openAccess
License
Atribución-NoComercial-SinDerivadas 4.0 Internacional
Description
Summary:The main aim of th is paper pivote d ar ound th e influence of some parameters relev ant to biomass pyrolys is on the numerical solutions of the nth order distributed activation energy model (DAEM) using the Gamma distribution. The upper limit of ‘dE’ integral, frequency factor, reaction order, and the shape and rate parameters of the Gamma distribution are investigated. Analys is of the mathematical model is done with the help of asymptotic expansion.