The objective of my PhD thesis was to develop a dynamic reduced order model (ROM) for the new generation of gasification systems, known as short-residence time gasifiers. Such modeling approach considers a reactor network to solve multi-phase transport phenomena in laminar/mixing flow fields of the system within a reasonably low computational time. My work determined that a systematically developed ROM with a fixed framework can predict the gasifier’s steady-state and dynamic response over a wide range of operating condition, when the streamlines of multi-phase flow is captured via the reactor network. The attractive computational costs of the ROM has allowed evaluation of the new gasifier through sensitivity analysis, uncertainty quantification, parameter estimation, dynamic simulation and process scale-up. The respective publications of this project is available in here.
Thesis: Reduced Order Modeling and Scale-up of an Entrained Flow Gasifier