Integration of Random-Pore Model & Langmuir-Hinshelwood Kinetics To Study High Temperature Coal Gasification

Open Access
- Author:
- Rajendren, Krishnaswami
- Graduate Program:
- Petroleum and Mineral Engineering
- Degree:
- Master of Science
- Document Type:
- Master Thesis
- Date of Defense:
- November 22, 2017
- Committee Members:
- Dr. Sarma Pisupati, Thesis Advisor/Co-Advisor
- Keywords:
- Heterogeneous Solid-Gas Reactions
Chemical Reaction Engineering
Coal Gasification
Carbon Gasification
Random Pore Model
Langmuir Adsorption
Langmuir-Hinshelwood Kinetics
Stefan-Maxwell Relations
Multi-component Diffusion
Reaction Diffusion PDE
Partial Differential Equations
Reaction Kinetics
Chemical Engineering
Energy Engineering
Clean Coal Technologies
Transport Phenomena
Mass Transfer
Fluid Mechanics
Diffusion
Crystallization
Crystal Growth Kinetics
Kinetics of Phase Change
MATLAB
Orthogonal Collocation
Legendre Polynomials
Gauss-Jacobi Iteration Scheme
Non-linear PDEs
Arrhenius Equation
Gasifier
Gasification Technologies
Fossil Fuels
Climate Change
Environmental Sustainability
Entrained Flow Reactor
High-Pressure Entrained Flow Reactor
HPEFR - Abstract:
- Random pore model (Bhatia and Perlmutter, 1980; 1981; 1983) has been applied extensively to both char oxidation systems (Su and Perlmutter, 1985) and char gasification systems with CO2 (Bhatia, 1981) and H2O (Chi and Perlmutter, 1989). The model solutions developed in these works assume the reaction to be first order with respect to the reactant gas. But it is well known that coal char systems are highly porous and the gasification reactions follow the Langmuir-Hinshelwood (LH) kinetics (Ergun, 1955). There have been attempts to combine random pore model with LH kinetics for competing CO2 and H2O gasification reactions (Umemoto et. al., 2013). But these efforts are restricted to the low temperature kinetically controlled regime. There is a need to extend the combined model to systems at higher temperature that are pore diffusion controlled to better understand the industrial systems of coal gasification. In this study, we extend the random pore model with transport and diffusion effects and Stefan-Maxwell’s multi-component diffusion modeling framework to incorporate LH kinetics to CO2 gasification systems with varying amounts of CO. We finally explore the possibility of extending the framework to the combined CO2 and H2O gasification systems in presence of H2O, CO and H2 to syngas synthesis.