Validation of MATLAB algorithm to implement a two-step parallel pyrolysis model for the prediction of maximum %char yield

• Published in: Discover chemical engineering Vol. 1; no. 1
• Main Authors: Horsfall, Ibiba Taiwo, Ndukwu, Macmanus Chinenye, Abam, Fidelis Ibiang, Olatunji, Ololade Moses, Ojong, Ojong Elias, Osa-Aria, Keavey
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.12.2021; Springer Nature B.V
• Subjects: Algorithms; Biochemical Engineering; Biomass; Brief Communication; Carbon; Chemistry; Chemistry and Materials Science; Dependent variables; Energy; Heat; Industrial Chemistry/Chemical Engineering; Kinetics; Partial differential equations; Simulation; Pyrolysis kinetic model; Mass of biochar; MATLAB codes
• ISSN: 2730-7700; 2730-7700
• DOI: 10.1007/s43938-021-00003-w

Numerical modeling of biomass pyrolysis is becoming a cost and time-saving alternative for experimental investigations, also to predict the yield of the by-products of the entire process. In the present study, a two-step parallel kinetic model was used to predict char yield under isothermal condition. MATLAB ODE45 function codes were employed to solve a set of differential equations that predicts the %char at varying residence times and temperatures. The code shows how the various kinetic parameters and mass of pyrolysis products were determined. Nevertheless, the algorithm used for the prediction was validated with experimental data and results from past works. At 673.15 K, the numerical simulation using ODE45 function gives a char yield of 27.84%. From 573.15 K to 673.15 K, char yield ranges from 31.7 to 33.72% to 27.84% while experimental yield decreases from 44 to 22%. Hence, the error between algorithm prediction and experimental data from literature is − 0.26 and 0.22. Again, comparing the result of the present work with the analytical method from the literature showed a good agreement.